Wanjun Chen
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Immunology top 1%
- T-cell and B-cell Immunology
- Psoriasis: Treatment and Pathogenesis
Papers in
-
- HIV/AIDS Research and Interventions 30
- Genetics 13
- Mesenchymal stem cell research 13
- Co-authors
- Sharon M. Wahl (5 shared papers)Lingyun Sun (12 shared papers)Dandan Wang (8 shared papers)Songtao Shi (8 shared papers)Wenwen Jin (6 shared papers)Mark Frank (1 shared paper)Kentaro Akiyama (4 shared papers)Takayoshi Yamaza (3 shared papers)
- Journals
- PLoS ONE (5 papers)JMIR Public Health and Surveillance (4 papers)Scientific Reports (3 papers)Journal of Biological Chemistry (3 papers)Stem Cells (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wanjun Chen
87 papers receiving 5.7k citations
Wanjun Chen's Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 1.6k
- Immunology 1.3k
- Rheumatology 393
- Parasitology 150
- Cancer Research 283
Countries citing papers authored by Wanjun Chen
This map shows the geographic impact of Wanjun Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wanjun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanjun Chen more than expected).
Fields of papers citing papers by Wanjun Chen
This network shows the impact of papers produced by Wanjun Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wanjun Chen. The network helps show where Wanjun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanjun Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Generation of pathogenic TH17 cells in the absence of TGF-β signalling Hit paper breakdown → | 2010 | 1236 |
| 2 | Mesenchymal-Stem-Cell-Induced Immunoregulation Involves FAS-Ligand-/FAS-Mediated T Cell Apoptosis Hit paper breakdown → | 2012 | 614 |
| 3 | 2005 | 495 | |
| 4 | 2001 | 368 | |
| 5 | 2002 | 280 | |
| 6 | 2012 | 260 | |
| 7 | 2013 | 226 | |
| 8 | 2006 | 181 | |
| 9 | 2004 | 152 | |
| 10 | 2015 | 148 | |
| 11 | 2020 | 108 | |
| 12 | 2020 | 95 | |
| 13 | 2020 | 92 | |
| 14 | 2014 | 90 | |
| 15 | 2013 | 86 | |
| 16 | 2014 | 79 | |
| 17 | 2015 | 78 | |
| 18 | 2012 | 71 | |
| 19 | 2015 | 68 | |
| 20 | 2019 | 62 |
About Wanjun Chen
Wanjun Chen is a scholar working on Infectious Diseases, Genetics, Immunology, Virology and Rheumatology, having authored 96 papers that have together received 5.8k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (30 papers), Mesenchymal stem cell research (13 papers), HIV, Drug Use, Sexual Risk (8 papers), T-cell and B-cell Immunology (7 papers), HIV Research and Treatment (6 papers), Adolescent Sexual and Reproductive Health (6 papers), Systemic Lupus Erythematosus Research (6 papers) and TGF-β signaling in diseases (4 papers). The work is most often cited by research in Genetics (1.6k citations), Immunology (1.3k citations), Rheumatology (393 citations), Parasitology (150 citations) and Cancer Research (283 citations). Wanjun Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sharon M. Wahl, Lingyun Sun, Dandan Wang, Songtao Shi, Wenwen Jin, Mark Frank, Kentaro Akiyama, Takayoshi Yamaza, Chider Chen and Cunye Qu. Their work appears in journals such as PLoS ONE, JMIR Public Health and Surveillance, Scientific Reports, Journal of Biological Chemistry and Stem Cells.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.