| Literature DB >> 36060783 |
Mancai Wang1, Xiaofeng Xie2, Songbo Zhao1, Wei Han1, Youcheng Zhang1.
Abstract
Introduction: Fecal microbiota transplantation (FMT) has gained considerable attention in a variety of clinical research areas, and an increasing number of articles are being published. It is very critical to reveal the global status, future research trends, and hotspots in the FMT research and application.Entities:
Keywords: bibliometric analysis; fecal microbiota transplantation; research hotspots; research trends; visualization analysis
Year: 2022 PMID: 36060783 PMCID: PMC9433904 DOI: 10.3389/fmicb.2022.990800
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 6.064
Figure 1The flowchart of study identification and data analysis/visualization.
Figure 2The publication characteristics of FMT.
Figure 3The Web of Science categories and the trend of their annual publications. (A) Top 25 categories of publication about FMT. (B) Annual publications and trend of the top 25 categories. (C) Annual publications and trend of other categories related to clinical medicine. The size of the circle represents the number of annual publications in each category.
Figure 4The global distribution and cooperation network of FMT research. (A) The global distribution of FMT research. The size of the circle represents the number of total publications in different countries, the width of the lines between different countries represents the strength of their cooperation. (B) The cooperation network of FMT research in different countries. The size of the circle represents the number of total publications in different countries, the width of the lines between different countries represents the strength of their cooperation. (C) The annual publications and trends of the top 10 countries. (D) The total citations of publications in different countries. The overall size of the circle represents the number of publications in different countries. Each colored circle (tree ring history) represents the number of publications published by that country in a single time slice. The width of the lines between different countries represents the strength of their cooperation; The outermost purple circle represents the country has a significant role in the FMT field.
Characteristics of the top 20 countries with the most publications.
| Num | Country | Publications | Citations | Average citations | Total link strength | Betweenness centrality |
|---|---|---|---|---|---|---|
| 1 | United States | 3,880 | 176,555 | 46 | 1834 | 0.39 |
| 2 | China | 1,539 | 28,653 | 19 | 552 | 0.00 |
| 3 | United Kingdom | 794 | 37,777 | 48 | 969 | 0.07 |
| 4 | Germany | 770 | 28,102 | 36 | 843 | 0.04 |
| 5 | France | 737 | 34,413 | 47 | 740 | 0.07 |
| 6 | Canada | 592 | 26,256 | 44 | 650 | 0.02 |
| 7 | Japan | 576 | 13,241 | 23 | 245 | 0.02 |
| 8 | Italy | 537 | 18,377 | 34 | 606 | 0.02 |
| 9 | Netherlands | 492 | 27,099 | 55 | 647 | 0.03 |
| 10 | Australia | 445 | 17,727 | 40 | 438 | 0.02 |
| 11 | Spain | 391 | 13,181 | 34 | 450 | 0.02 |
| 12 | Denmark | 295 | 14,000 | 47 | 365 | 0.03 |
| 13 | Brazil | 278 | 5,734 | 21 | 130 | 0.01 |
| 14 | India | 272 | 4,713 | 17 | 178 | 0.01 |
| 15 | Switzerland | 260 | 10,783 | 41 | 395 | 0.05 |
| 16 | Sweden | 245 | 14,843 | 61 | 390 | 0.04 |
| 17 | South Korea | 240 | 4,819 | 20 | 136 | 0.01 |
| 18 | Belgium | 218 | 9,391 | 43 | 315 | 0.02 |
| 19 | Finland | 162 | 12,255 | 76 | 256 | 0.02 |
| 20 | Poland | 159 | 2,577 | 16 | 151 | 0.00 |
Total link strength, generated by VOSviewer 1.6.18 software, it indicates the strength or closeness of the country’s cooperation with other countries in the field of FMT; Betweenness centrality, generated by CiteSpace 5.8 software, it represents the influence or contribution of the country in the FMT field, and greater than 0.1 means that the country has an important contribution or a great influence.
The characteristics of the top 20 institutions based on publications.
| No. | Institutions | Country | Publications | Citations | Average citations | Total link strength | Betweenness centrality |
|---|---|---|---|---|---|---|---|
| 1 | Univ Minnesota | United States | 128 | 9,750 | 76 | 229 | 0.04 |
| 2 | Harvard Med Sch | United States | 120 | 7,423 | 62 | 398 | 0.18 |
| 3 | Univ Copenhagen | Denmark | 119 | 7,674 | 64 | 243 | 0.04 |
| 4 | Univ Helsinki | Finland | 111 | 6,853 | 62 | 194 | 0.10 |
| 5 | Mayo Clin | United States | 111 | 8,203 | 74 | 225 | 0.05 |
| 6 | Zhejiang Univ | China | 100 | 2,245 | 22 | 109 | 0.05 |
| 7 | Univ Amsterdam | Netherlands | 99 | 7,921 | 80 | 204 | 0.01 |
| 8 | Univ Washington | United States | 97 | 6,767 | 70 | 211 | 0.01 |
| 9 | Harvard Univ | United States | 95 | 10,920 | 115 | 200 | 0.05 |
| 10 | Univ Michigan | United States | 94 | 5,938 | 63 | 166 | 0.06 |
| 11 | Univ Alberta | Canada | 92 | 4,562 | 50 | 276 | 0.06 |
| 12 | Univ Toronto | Canada | 92 | 3,370 | 37 | 238 | 0.05 |
| 13 | Univ Calif Davis | United States | 83 | 2,432 | 29 | 115 | 0.02 |
| 14 | Baylor Coll Med | United States | 82 | 5,627 | 69 | 171 | 0.00 |
| 15 | Inra | France | 80 | 6,105 | 76 | 115 | 0.00 |
| 16 | Chinese Acad Sci | China | 79 | 2010 | 25 | 160 | 0.00 |
| 17 | Nanjing Med Univ | China | 79 | 1,631 | 21 | 115 | 0.03 |
| 18 | Massachusetts Gen Hosp | United States | 76 | 5,188 | 68 | 212 | 0.01 |
| 19 | Univ Calif San Francisco | United States | 76 | 4,924 | 65 | 186 | 0.03 |
| 20 | Univ São Paulo | Brazil | 72 | 941 | 13 | 54 | 0.00 |
Total link strength, it indicates the strength or closeness of the institution’s cooperation with other institutions in the field of FMT; Betweenness centrality, it represents the influence or contribution of the institution in the FMT field, and greater than 0.1 means that the institution has an important contribution or a great influence.
The characteristics of the top 20 authors based on publications.
| No. | Author | Country | Institutions | Publications | Citations | Average citations | Total link strength |
|---|---|---|---|---|---|---|---|
| 1 | Khoruts, Alexander | United States | Univ Minnesota | 51 | 4,994 | 98 | 161 |
| 2 | Gasbarrini, Antonio | Italy | Univ Cattolica Sacro Cuore | 41 | 1,389 | 34 | 148 |
| 3 | Khanna, Sahil | United States | Mayo Clin | 40 | 925 | 23 | 72 |
| 4 | Kassam, Zain | United States | MIT | 39 | 2,668 | 68 | 150 |
| 5 | Zhang, Faming | China | Nanjing Med Univ | 39 | 1,062 | 27 | 224 |
| 6 | Allegretti, Jessica R. | United States | Harvard Med Sch | 37 | 1,171 | 32 | 157 |
| 7 | Ianiro, Gianluca | Italy | Univ Cattolica Sacro Cuore | 36 | 1,298 | 36 | 149 |
| 8 | Nieuwdorp, Max | Netherlands | Univ Amsterdam | 35 | 4,064 | 116 | 76 |
| 9 | Cammarota, Giovanni | Italy | Univ Cattolica Sacro Cuore | 34 | 1,114 | 33 | 145 |
| 10 | Cui, Bota | China | Nanjing Med Univ | 31 | 826 | 27 | 186 |
| 11 | Fischer, Monika | United States | Indiana Univ | 31 | 812 | 26 | 123 |
| 12 | Sadowsky, Michael J. | United States | Univ Minnesota | 31 | 3,605 | 116 | 107 |
| 13 | Kelly, Colleen R. | United States | Brown Univ | 30 | 1967 | 66 | 97 |
| 14 | De Vos, Willem M. | Netherlands | Wageningen Univ | 29 | 4,625 | 159 | 68 |
| 15 | Li, Ning | China | Nanjing Univ | 28 | 727 | 26 | 99 |
| 16 | Wei, Hong | China | Third Mil Med Univ | 28 | 999 | 36 | 70 |
| 17 | Levitt, Marc A. | United States | Cincinnati Childrens Hosp Med Ctr | 27 | 835 | 31 | 49 |
| 18 | Mullish, Benjamin H. | United Kingdom | Imperial Coll London | 26 | 819 | 32 | 126 |
| 19 | Zhang, Ting | China | Nanjing Med Univ | 26 | 595 | 23 | 136 |
| 20 | Kao, Dina | Canada | Univ Alberta | 25 | 1,160 | 46 | 113 |
Total link strength, it indicates the strength or closeness of the author’s cooperation with other authors in the field of FMT.
Figure 5Distribution and Co-authorship analysis of authors. (A) The collaborations among the main authors and their teams on FMT. Each dot or circle represents an author, authors with the same color may be from the same research team; the line between them represents a collaborative relationship, and the width of the lines represents the strength of their cooperation. (B) The cooperative relationships of the top 20 authors with each other. The size of the circle represents the number of publications of different authors; the width of the lines between different authors represents the strength of their cooperation; authors with the same color may be from the same research team.
Figure 6The average publish year of the top 20 journals with most publications. The size of the circle represents the total number of publications about FMT in different journals; the width of the lines between different journals represents the strength of cited each other.
The top 10 most-cited references.
| No. | Authors | Year, journal, title | Citations | Topics | Types |
|---|---|---|---|---|---|
| 1 | Van Nood E | 2013, N Engl J Med, Duodenal infusion of donor feces for recurrent | 1,065 | Recurrent | Clinical trial |
| 2 | Moayyedi P | 2015, Gastroenterology, Fecal microbiota transplantation induces remission in patients with active ulcerative colitis in a randomized controlled trial | 542 | Ulcerative colitis | Clinical trial |
| 3 | Kassam Z | 2013, Am J Gastroenterol, Fecal microbiota transplantation for | 404 | Meta analysis (Review) | |
| 4 | Vrieze A | 2013, Gastroenterology, Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome | 404 | Metabolic syndrome | Clinical trial |
| 5 | Gough E | 2011, Clin Infect Dis, Systematic review of intestinal microbiota transplantation (fecal bacteriotherapy) for recurrent | 400 | Recurrent | Review |
| 6 | Surawicz CM | 2013, Am J Gastroenterol, Guidelines for diagnosis, treatment, and prevention of | 396 | Review | |
| 7 | Rossen NG | 2015, Gastroenterology, Findings from a randomized controlled trial of fecal transplantation for patients with ulcerative colitis | 395 | Ulcerative colitis | Clinical trial |
| 8 | Caporaso JG | 2010, Nat Methods, QIIME allows analysis of high-throughput community sequencing data | 385 | QIIME | Analysis method |
| 9 | Paramsothy S | 2017, Lancet, Multidonor intensive faecal microbiota transplantation for active ulcerative colitis: a randomized placebo-controlled trial | 391 | Ulcerative colitis | Clinical trial |
| 10 | Bakken JS | 2011, Clin Gastroenterol Hepatol, Treating | 373 | Review |
The top 20 most-cited references published in the last 5 years.
| No. | Authors | Year, journal, title | Citations | Topics | Types |
|---|---|---|---|---|---|
| 1 | Defilipp Z | 2019, N Engl J Med, Drug-resistant | 226 | Drug-Resistant bacteremia | Case report |
| 2 | Costello SP | 2019, JAMA, Effect of fecal microbiota transplantation on 8-Week remission in patients with ulcerative colitis: a randomized clinical trial | 214 | Ulcerative colitis | Clinical trial |
| 3 | Routy B | 2018, Science, Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors | 203 | Tumor | Clinical trial |
| 4 | Gopalakrishnan V | 2018, Science, Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients | 171 | Tumor | Clinical trial |
| 5 | Halkjaer SI | 2018, Gut, Faecal microbiota transplantation alters gut microbiota in patients with irritable bowel syndrome: results from a randomized, double-blind placebo-controlled study | 98 | Irritable bowel syndrome | Clinical trial |
| 6 | Wilson BC | 2019, Front Cell Infect Microbiol, The super-donor phenomenon in fecal microbiota transplantation | 94 | Super-donor | Review |
| 7 | Suez J | 2018, Cell, Post-antibiotic gut mucosal microbiome reconstitution is impaired by probiotics and improved by autologous FMT | 87 | Antibiotics-associated dysbiosis | Clinical trial |
| 8 | Wang YH | 2019, Nat Med, Fecal microbiota transplantation for refractory immune checkpoint inhibitor-associated colitis | 87 | Inhibitor-associated colitis | Case report |
| 9 | Bolyen E | 2019, Nat Biotechnol, Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 | 85 | QIIME | Analysis method |
| 10 | allegretti jr | 2019, Lancet, The evolution of the use of faecal microbiota transplantation and emerging therapeutic indications | 77 | Faecal microbiota transplantation | Review |
| 11 | Paramsothy S | 2019, Gastroenterology, Specific bacteria and metabolites associated with response to fecal microbiota transplantation in patients with ulcerative colitis | 76 | Ulcerative colitis | Clinical trial |
| 12 | Ianiro G | 2018b, Aliment Pharmacol Ther, Randomized clinical trial: faecal microbiota transplantation by colonoscopy plus vancomycin for the treatment of severe refractory | 73 | Clinical trial | |
| 13 | Ianiro G | 2018a, United European Gastroenterol J, Efficacy of different faecal microbiota transplantation protocols for | 73 | Meta analysis (Review) | |
| 14 | Smillie CS | 2018, Cell Host Microbe, Strain tracking reveals the determinants of bacterial engraftment in the human gut following fecal microbiota transplantation | 73 | Bacterial Engraftment and efficacy | Clinical trial |
| 15 | Zuo T | 2018,Gut, Bacteriophage transfer during faecal microbiota transplantation in | 73 | Bacteriophage transfer and efficacy | Clinical trial |
| 16 | Defilipp Z | 2018, Blood Adv, Third-party fecal microbiota transplantation following allo-HCT reconstitutes microbiome diversity | 70 | Allogeneic hematopoietic cell transplantation | Clinical trial |
| 17 | Kang DW | 2019, Sci Rep, Long-term benefit of Microbiota Transfer Therapy on autism symptoms and gut microbiota | 70 | Autism | Clinical trial |
| 18 | Zhang Fm | 2018, Protein Cell, Microbiota transplantation: concept, methodology and strategy for its modernization | 70 | Faecal microbiota transplantation | Review |
| 19 | El-salhy M | 2020, Gut, Efficacy of faecal microbiota transplantation for patients with irritable bowel syndrome in a randomized, double-blind, placebo-controlled study | 69 | Irritable bowel syndrome | Clinical trial |
| 20 | Taur Y | 2018, Sci Transl Med, Reconstitution of the gut microbiota of antibiotic-treated patients by autologous fecal microbiota transplant | 69 | Antibiotics-associated dysbiosis | Clinical trial |
Figure 7Co-cited references analysis. (A) The 10 major clusters of references. Each circle represents a reference, and circles with the same color represent a cluster with the same topic. (B) Timeline view of the 10 major clusters. Each circle represents a reference, and the circle on the same line represents a cluster with the same topic; The position of each circle represents the time when it was first cited, and the size of the circle represents the total number of it was cited. Each colored circle (tree ring history) represents the citations in a single time slice. (C) The top 25 references with the strongest citation bursts. The “Strength” represents the strength of citation bursts, the strength value is proportional to the bursts.
Figure 8Keyword co-occurrence analysis. (A) The top 15 clusters of keywords. Each cross represents a keyword, and crosses with the same colors represent a cluster with the same topic. (B) The top 25 keywords with the strongest citation bursts. The “Strength” represents the strength of citation bursts, the strength value is proportional to the bursts. It also represents the important value of the keyword.
Figure 9The summary of hotspots evidences.