Jichun Chen
Impact in
- Aging top 1%
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 38
- Hematopoietic Stem Cell Transplantation 35
- Immunology 37
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 10
- Immune Response and Inflammation 9
- Co-authors
- Dongfeng Gu (69 shared papers)Neal S. Young (46 shared papers)David E. Harrison (9 shared papers)Jianfeng Huang (57 shared papers)Jianxin Li (56 shared papers)Jiang He (33 shared papers)Clinton M. Astle (9 shared papers)Keyvan Keyvanfar (16 shared papers)
- Journals
- Blood (23 papers)Experimental Hematology (20 papers)American Journal of Hypertension (11 papers)Journal of Hypertension (5 papers)Circulation (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jichun Chen
171 papers receiving 6.5k citations
Jichun Chen's Hit Papers
Peers
Comparison fields: 5 of 170
- Aging 186
- Hematology 1.0k
- Nephrology 331
- Immunology 909
- Ceramics and Composites 230
Countries citing papers authored by Jichun Chen
This map shows the geographic impact of Jichun 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 Jichun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jichun Chen more than expected).
Fields of papers citing papers by Jichun Chen
This network shows the impact of papers produced by Jichun 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 Jichun Chen. The network helps show where Jichun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jichun 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 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Augmented Wnt Signaling in a Mammalian Model of Accelerated Aging Hit paper breakdown → | 2007 | 613 |
| 2 | Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese Population Hit paper breakdown → | 2016 | 431 |
| 3 | 2009 | 394 | |
| 4 | 2020 | 231 | |
| 5 | 2005 | 199 | |
| 6 | 2009 | 197 | |
| 7 | 2008 | 190 | |
| 8 | 2005 | 172 | |
| 9 | 2005 | 153 | |
| 10 | 2010 | 136 | |
| 11 | 2019 | 109 | |
| 12 | 2000 | 108 | |
| 13 | 2019 | 102 | |
| 14 | 2018 | 101 | |
| 15 | 2003 | 100 | |
| 16 | 2009 | 90 | |
| 17 | 2010 | 88 | |
| 18 | 2019 | 86 | |
| 19 | 2004 | 86 | |
| 20 | 1999 | 85 |
About Jichun Chen
Jichun Chen is a scholar working on Hematology, Immunology, Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 174 papers that have together received 6.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (35 papers), Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (10 papers), Sodium Intake and Health (10 papers), Immune Response and Inflammation (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Telomeres, Telomerase, and Senescence (9 papers). The work is most often cited by research in Aging (186 citations), Hematology (1.0k citations), Nephrology (331 citations), Immunology (909 citations) and Ceramics and Composites (230 citations). Jichun Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dongfeng Gu, Neal S. Young, David E. Harrison, Jianfeng Huang, Jianxin Li, Jiang He, Clinton M. Astle, Keyvan Keyvanfar, Dongsheng Hu and Xigui Wu. Their work appears in journals such as Blood, Experimental Hematology, American Journal of Hypertension, Journal of Hypertension and Circulation.
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.