| Literature DB >> 35903671 |
Jing-Fu Bao1,2, Pan-Pan Hu1,2, Qin-Ying She3, Difei Zhang4, Jia-Ju Mo1,2, Aiqing Li1,2.
Abstract
Background: Uremic cardiomyopathy is commonly presented in chronic kidney disease (CKD), and it severely affects the prognosis of patients with CKD. In the past few decades, the investigation of uremic cardiomyopathy has developed rapidly. However, no report has summarized the situation of uremic cardiomyopathy research to date. This study aimed to evaluate the state of uremic cardiomyopathy research in the last 30 years and identify important topics and achievements, as well as emerging trends through bibliometric analysis. Materials andEntities:
Keywords: CiteSpace; HistCite; VOSviewer; bibliometric analysis; bibliometrix; uremic cardiomyopathy
Year: 2022 PMID: 35903671 PMCID: PMC9314665 DOI: 10.3389/fcvm.2022.908040
Source DB: PubMed Journal: Front Cardiovasc Med ISSN: 2297-055X
FIGURE 1Publication outputs and citations on uremic cardiomyopathy. (A) Global annual production trends. (B) Annual total global citation score (TGCS) and total local citation score (TLCS) of publications on uremic cardiomyopathy.
FIGURE 2Leading countries in the uremic cardiomyopathy field. (A) Worldwide distribution of the publication. (B,C) Total citations and average publication citations of the top 10 productive countries. (D) Clustering of collaboration among countries. (E) Timeline visualization of collaboration among countries.
The top 10 productive countries concerning uremic cardiomyopathy.
| Rank | Country | Publications ( | TLCS | TGCS | Average citation |
| 1 | United States | 839 (34.9) | 5,309 | 50,802 | 60.6 |
| 2 | Italy | 228 (9.5) | 1,163 | 18,420 | 80.8 |
| 3 | United Kingdom | 213 (8.9) | 1,179 | 18,057 | 84.8 |
| 4 | Germany | 203 (8.5) | 1,587 | 18,429 | 90.8 |
| 5 | Japan | 192 (8.0) | 546 | 5,747 | 29.9 |
| 6 | China | 155 (6.5) | 189 | 3,112 | 20.1 |
| 7 | Canada | 114 (4.7) | 1,341 | 14,399 | 126.3 |
| 8 | Turkey | 113 (4.7) | 234 | 2,200 | 19.5 |
| 9 | Spain | 90 (3.7) | 387 | 9,595 | 106.6 |
| 10 | France | 80 (3.3) | 436 | 9,923 | 124.0 |
The top 10 productive institutions concerning uremic cardiomyopathy.
| Rank | Institution | Publications | TLCS | TGCS | Average citation |
| 1 | University of Miami | 54 | 1,496 | 6,032 | 111.7 |
| 2 | University of Pennsylvania | 45 | 809 | 3,547 | 78.8 |
| 3 | University of Washington | 45 | 427 | 4,068 | 90.4 |
| 4 | Harvard University | 44 | 929 | 4,602 | 104.6 |
| 5 | Northwestern University | 42 | 471 | 2,157 | 51.4 |
| 6 | University of Alabama Birmingham | 38 | 481 | 4,644 | 122.2 |
| 7 | Duke University | 37 | 144 | 1,676 | 45.3 |
| 8 | University of California, San Francisco | 37 | 349 | 2,024 | 54.7 |
| 9 | Johns Hopkins University | 32 | 274 | 4,444 | 138.9 |
| 10 | Karolinska Institution | 32 | 128 | 1,317 | 41.2 |
FIGURE 3Active institutes and authors analysis. (A) Clustering of collaboration among institutes. (B) Density visualization of institutes based on the mean frequency of appearance and two groups with higher collaboration can be observed. (C) Timeline distribution of publications from the top 10 active authors. (D) Clustering of collaboration among authors. (E) Density visualization of authors based on the mean frequency of appearance and three groups with higher collaboration can be observed.
The top 10 active authors concerning uremic cardiomyopathy.
| Rank | Name | Publications | TLCS | TGCS | H index |
| 1 | Myles Wolf | 46 | 1,439 | 5,749 | 33 |
| 2 | Joseph I. Shapiro | 40 | 337 | 1,550 | 23 |
| 3 | Carmine Zoccali | 33 | 243 | 1,973 | 21 |
| 4 | Zijian Xie | 25 | 265 | 1,250 | 19 |
| 5 | Szu-Chia Chen | 23 | 77 | 427 | 11 |
| 6 | Tamara Isakova | 23 | 988 | 3,473 | 17 |
| 7 | Bradley A. Warady | 23 | 100 | 681 | 17 |
| 8 | Robert N. Foley | 22 | 761 | 5,456 | 15 |
| 9 | Jiang Liu | 22 | 112 | 621 | 14 |
| 10 | Francesca Mallamaci | 22 | 88 | 878 | 14 |
The top 10 journals concerning uremic cardiomyopathy.
| Rank | Journal | Counts | Impact factor (2020) | TLCS | TGCS | H index |
| 1 | Nephrology Dialysis Transplantation | 131 | 5.992 | 826 | 6209 | 44 |
| 2 | Kidney International | 93 | 10.612 | 1068 | 7854 | 50 |
| 3 | Pediatric Nephrology | 84 | 3.714 | 302 | 1870 | 24 |
| 4 | American Journal of Kidney Diseases | 79 | 8.860 | 937 | 8559 | 43 |
| 5 | Journal of the American Society of Nephrology | 62 | 10.121 | 1249 | 8447 | 42 |
| 6 | Journal of Hypertension | 57 | 4.844 | 272 | 6576 | 24 |
| 7 | PLoS ONE | 50 | 3.240 | 0 | 1476 | 12 |
| 8 | Clinical Journal of the American Society of Nephrology | 46 | 8.237 | 494 | 2452 | 30 |
| 9 | Current Opinion in Nephrology and Hypertension | 40 | 2.894 | 145 | 1154 | 22 |
| 10 | Seminars in Dialysis | 39 | 3.455 | 107 | 1026 | 16 |
FIGURE 4Core journals in the uremic cardiomyopathy field. (A) Clustering of co-citation among journals. (B) Density visualization of journals based on the mean frequency of appearance, and journals in nephrology possessed a core position in clustering.
The top 10 publications with the highest total local citation score (TLCS).
| Rank | References | Journal | Year | Category | TLCS | TGCS |
| 1 | Faul et al. ( | Journal of Clinical Investigation | 2011 | Epidemiology/ | 373 | 1,320 |
| 2 | Gutiérrez et al. ( | Circulation | 2009 | Epidemiology | 271 | 621 |
| 3 | Foley ( | American Journal of Kidney Diseases | 1998 | Review-Epidemiology | 190 | 2,631 |
| 4 | Foley ( | Journal of the American Society of Nephrology | 1995 | Epidemiology | 148 | 422 |
| 5 | Grabner et al. ( | Cell Metabolism | 2015 | Pathophysiology | 121 | 311 |
| 6 | Parfrey ( | Nephrology Dialysis Transplantation | 1996 | Epidemiology | 119 | 498 |
| 7 | Glassock ( | Clinical Journal of the American Society of Nephrology | 2009 | Review-Epidemiology | 91 | 238 |
| 8 | Shalhoub et al. ( | Journal of Clinical Investigation | 2012 | Pathophysiology | 90 | 280 |
| 9 | Paoletti et al. ( | American Journal of Kidney Diseases | 2005 | Epidemiology | 85 | 149 |
| 10 | Thadhani et al. ( | Journal of the American Medical Association | 2012 | Randomized Controlled Trial | 81 | 388 |
The 13 clusters of co-cited references with the higher K value.
| Cluster ID | Size | Silhouette | Mean year | Top term | Log (likelihood ratio, |
| #1 | 94 | 0.908 | 1997 | Anemia | 28.05, 1.0E-4 |
| #3 | 83 | 0.938 | 2015 | Klotho | 27.77, 1.0E-4 |
| #4 | 69 | 0.979 | 1992 | Rhuepo | 14.47, 0.001 |
| #5 | 68 | 0.957 | 2003 | Fibroblast growth factor 23 | 14.01, 0.001 |
| #6 | 64 | 0.923 | 2003 | Arterial stiffness | 14.72, 0.001 |
| #7 | 54 | 0.958 | 2009 | Fgf-23 | 25.69, 1.0E-4 |
| #8 | 51 | 0.931 | 1994 | Chronic renal failure | 13.12, 0.001 |
| #9 | 43 | 1 | 1988 | Uremic cardiomyopathy | 12.05, 0.001 |
| #10 | 39 | 0.955 | 1990 | Hypertension mechanisms | 8.84, 0.005 |
| #12 | 14 | 1 | 1992 | Atherogenesis | NaN, 0.001 |
| #13 | 14 | 0.998 | 2006 | Children | 41.94, 1.0E-4 |
| #17 | 7 | 1 | 2005 | Cardiomyopathy | 8.88, 0.005 |
| #19 | 6 | 1 | 2011 | Vitamin d | 13.80, 0.001 |
FIGURE 5Co-cited reference analysis. (A) Timeline distribution of 13 clusters with the higher K values. (B) The top 20 references with the higher citation bursts, references with the red box is directly associated with FGF-23.
FIGURE 6Analysis of keywords in publications and milestones of the uremic cardiomyopathy field. (A) Major keywords evolution of uremic cardiomyopathy research. (B) Clustering of co-occurrence among keywords. (C) Timeline visualization of co-occurrence among keywords.
FIGURE 7Major achievements in the uremic cardiomyopathy field.