| Literature DB >> 34532474 |
Peng Chen1,2, Zhenlan Du3,4,5, Jianfei Wang6, Yi Liu1, Juan Zhang1, Daihong Liu1.
Abstract
BACKGROUND: In recent years, the incidence of hematological tumors has increased. The tumor microenvironment (TME) is the local biological environment in the process of tumor occurrence and development and is closely related to hematological malignancies, including lymphoma and leukemia. This study aims to conduct a bibliometric analysis of the research on the hematological TME, reflect the general situation of the research in this field, and remind the focus of future research.Entities:
Keywords: Hematological malignancies; bibliometrics; immunotherapy; tumor microenvironment (TME)
Year: 2021 PMID: 34532474 PMCID: PMC8422130 DOI: 10.21037/atm-21-3924
Source DB: PubMed Journal: Ann Transl Med ISSN: 2305-5839
Document type analysis
| Literatures | Records | % of 1,992 |
|---|---|---|
| Original articles | 1,211 | 60.8 |
| Reviews | 500 | 25.1 |
| Meeting abstracts | 240 | 12.0 |
| Proceedings papers | 40 | 2.0 |
| Editorial materials | 22 | 1.1 |
| Book chapters | 19 | 1.0 |
| Early access | 19 | 1.0 |
| Letters | 14 | 0.7 |
| Corrections | 3 | 0.2 |
| Notes | 2 | 0.1 |
Annual distribution of the number of papers in the past 20 years
| Years | Records | % of 1,992 |
|---|---|---|
| 2021 | 44 | 2.2 |
| 2020 | 200 | 10.0 |
| 2019 | 183 | 9.2 |
| 2018 | 156 | 7.8 |
| 2017 | 181 | 9.1 |
| 2016 | 145 | 7.3 |
| 2015 | 123 | 6.2 |
| 2014 | 115 | 5.8 |
| 2013 | 100 | 5.0 |
| 2012 | 91 | 4.6 |
| 2011 | 113 | 5.7 |
| 2010 | 86 | 4.3 |
| 2009 | 80 | 4.0 |
| 2008 | 65 | 3.3 |
| 2007 | 48 | 2.4 |
| 2006 | 37 | 1.9 |
| 2005 | 38 | 1.9 |
| 2004 | 32 | 1.6 |
| 2003 | 25 | 1.3 |
| 2002 | 17 | 0.9 |
Figure 1Annual changes in the number of papers published.
Figure 2Annual changes of the citation frequency.
Figure 3A visual map of countries.
Figure 4Visualization map of institutions.
Top 10 countries in terms of publication
| Rank | Countries | Records |
|---|---|---|
| 1 | USA | 864 |
| 2 | Italy | 221 |
| 3 | China | 185 |
| 4 | Germany | 175 |
| 5 | England | 140 |
| 6 | France | 123 |
| 7 | Canada | 98 |
| 8 | Japan | 92 |
| 9 | Spain | 75 |
| 10 | Australia | 61 |
Top 10 countries in terms of centrality
| Rank | Countries | Centrality |
|---|---|---|
| 1 | USA | 0.82 |
| 2 | Italy | 0.39 |
| 3 | Germany | 0.15 |
| 4 | Spain | 0.14 |
| 5 | France | 0.13 |
| 6 | Japan | 0.10 |
| 7 | Australia | 0.10 |
| 8 | England | 0.09 |
| 9 | Canada | 0.07 |
| 10 | Netherlands | 0.05 |
Top 10 institutions in terms of number of papers published
| Rank | Institutions | Records |
|---|---|---|
| 1 | Mayo Clin | 70 |
| 2 | Dana Farber Canc Inst | 69 |
| 3 | Univ Texas MD Anderson Canc Ctr | 67 |
| 4 | Harvard Univ | 62 |
| 5 | Harvard Med Sch | 36 |
| 6 | NCI | 34 |
| 7 | Karolinska Inst | 31 |
| 8 | Massachusetts Gen Hosp | 16 |
| 9 | Mem Sloan Kettering Canc Ctr | 15 |
| 10 | British Columbia Canc Agency | 15 |
Top 10 institutions in terms of centrality
| Rank | Institutions | Centrality |
|---|---|---|
| 1 | Dana Farber Canc Inst | 0.16 |
| 2 | Mayo Clin | 0.14 |
| 3 | NCI | 0.11 |
| 4 | Univ Texas MD Anderson Canc Ctr | 0.07 |
| 5 | Harvard Univ | 0.05 |
| 6 | Harvard Med Sch | 0.05 |
| 7 | German Canc Res Ctr | 0.04 |
| 8 | Columbia Univ | 0.04 |
| 9 | Karolinska Inst | 0.03 |
| 10 | British Columbia Canc Agency | 0.03 |
Top 5 authors in the number of papers published
| Rank | Authors | Records |
|---|---|---|
| 1 | Anderson KC | 34 |
| 2 | Ansell SM | 25 |
| 3 | Gascoyne RD | 16 |
| 4 | Steidl C | 15 |
| 5 | Richardson PG | 15 |
Top 5 authors of centrality
| Rank | Authors | Centrality |
|---|---|---|
| 1 | Gascoyne RD | 0.02 |
| 2 | Anderson KC | 0.01 |
| 3 | Gribben JG | 0.01 |
| 4 | Steidl C | 0.01 |
| 5 | Wilcox RA | 0.01 |
Figure 5The author’s co-authored visualization map.
The top 10 most cited authors
| Rank | Authors | Citations |
|---|---|---|
| 1 | Burger JA | 139 |
| 2 | Hideshima T | 123 |
| 3 | Steidl C | 122 |
| 4 | Hanahan D | 119 |
| 5 | Ansell SM | 109 |
| 6 | Dave SS | 101 |
| 7 | Swerdlow SH | 88 |
| 8 | Mantovani A | 84 |
| 9 | Green MR | 79 |
| 10 | Chauhan D | 76 |
Top 10 authors of centrality in co-citation
| Rank | Authors | Centrality |
|---|---|---|
| 1 | Anderson KC | 0.29 |
| 2 | Simmons PJ | 0.26 |
| 3 | Gabrilovich DI | 0.21 |
| 4 | Bataille R | 0.21 |
| 5 | Abboud SL | 0.20 |
| 6 | Hideshima T | 0.12 |
| 7 | Steidl C | 0.12 |
| 8 | Ribatti D | 0.12 |
| 9 | Broxmeyer HE | 0.12 |
| 10 | Liesveld JL | 0.12 |
Figure 6The author’s co-cited visualization map.
Top 22 journals by publications
| Rank | Journals | Papers | Percentage |
|---|---|---|---|
| 1 |
| 457 | 22.9 |
| 2 |
| 133 | 6.7 |
| 3 |
| 125 | 6.3 |
| 4 |
| 116 | 5.8 |
| 5 |
| 107 | 5.4 |
| 6 |
| 103 | 5.2 |
| 7 |
| 94 | 4.7 |
| 8 |
| 89 | 4.5 |
| 9 |
| 81 | 4.1 |
| 10 |
| 41 | 2.1 |
| 11 |
| 40 | 2.0 |
| 12 |
| 39 | 2.0 |
| 13 |
| 31 | 1.6 |
| 14 |
| 31 | 1.6 |
| 15 |
| 30 | 1.5 |
| 16 |
| 27 | 1.4 |
| 17 |
| 24 | 1.2 |
| 18 |
| 24 | 1.2 |
| 19 |
| 22 | 1.1 |
| 20 |
| 21 | 1.1 |
| 21 |
| 21 | 1.1 |
| 22 |
| 20 | 1.0 |
Top 10 journals cited
| Rank | Journals | Citations |
|---|---|---|
| 1 |
| 1,510 |
| 2 |
| 1,176 |
| 3 |
| 1,092 |
| 4 |
| 1,011 |
| 5 |
| 970 |
| 6 |
| 913 |
| 7 |
| 882 |
| 8 |
| 874 |
| 9 |
| 856 |
| 10 |
| 842 |
Top 10 journals of centrality in citation
| Rank | Journals | Centrality |
|---|---|---|
| 1 |
| 0.08 |
| 2 |
| 0.07 |
| 3 |
| 0.07 |
| 4 |
| 0.06 |
| 5 |
| 0.06 |
| 6 |
| 0.05 |
| 7 |
| 0.05 |
| 8 |
| 0.05 |
| 9 |
| 0.05 |
| 10 |
| 0.05 |
Figure 7Keyword co-occurrence map. Identified in the figure are keywords that often appear together.
Top 10 most used keywords
| Rank | Keywords | Frequency |
|---|---|---|
| 1 | expression | 383 |
| 2 | microenvironment | 325 |
| 3 | cancer | 245 |
| 4 | tumor microenvironment | 216 |
| 5 | multiple myeloma | 203 |
| 6 | survival | 192 |
| 7 | bone marrow | 159 |
| 8 | t cell | 153 |
| 9 | activation | 153 |
| 10 |
| 134 |
Top 10 keywords for centrality
| Rank | Keywords | Centrality |
|---|---|---|
| 1 | microenvironment | 0.17 |
| 2 | expression | 0.16 |
| 3 | bone marrow | 0.12 |
| 4 | cell | 0.09 |
| 5 | cytokine | 0.09 |
| 6 | cancer | 0.08 |
| 7 | colony stimulating factor | 0.07 |
| 8 | survival | 0.06 |
| 9 |
| 0.06 |
| 10 | apoptosis | 0.06 |
Figure 8Top 25 keywords with the strongest citation bursts.