Xuejun Chen
Impact in
- Virology top 1%
- HIV Research and Treatment
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
- Epidemiology 19
- Pneumonia and Respiratory Infections 6
- Cytomegalovirus and herpesvirus research 4
- Immunology 14
- Immune Cell Function and Interaction 7
- Co-authors
- Swamy Yeleswaram (12 shared papers)William V. Williams (7 shared papers)Peggy Scherle (5 shared papers)Naresh Punwani (8 shared papers)Jack Shi (5 shared papers)Thomas Emm (4 shared papers)Yvonne Lo (4 shared papers)Shigaku Ikeda (4 shared papers)
- Journals
- The Journal of Clinical Pharmacology (6 papers)Journal of Virology (4 papers)Coronary Artery Disease (2 papers)Nature Communications (2 papers)iScience (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Xuejun Chen
61 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Virology 479
- Microbiology 254
- Immunology 509
- Genetics 207
- Hematology 171
Countries citing papers authored by Xuejun Chen
This map shows the geographic impact of Xuejun 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 Xuejun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuejun Chen more than expected).
Fields of papers citing papers by Xuejun Chen
This network shows the impact of papers produced by Xuejun 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 Xuejun Chen. The network helps show where Xuejun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuejun 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 173 | |
| 2 | 2014 | 171 | |
| 3 | 2014 | 166 | |
| 4 | 2007 | 138 | |
| 5 | 2011 | 125 | |
| 6 | 2011 | 88 | |
| 7 | 2015 | 75 | |
| 8 | 2015 | 74 | |
| 9 | 2016 | 63 | |
| 10 | 2003 | 60 | |
| 11 | 2019 | 59 | |
| 12 | 2015 | 58 | |
| 13 | 2017 | 43 | |
| 14 | 2015 | 40 | |
| 15 | 2017 | 38 | |
| 16 | 2014 | 33 | |
| 17 | 2013 | 32 | |
| 18 | 2016 | 30 | |
| 19 | 2013 | 27 | |
| 20 | 2019 | 26 |
About Xuejun Chen
Xuejun Chen is a scholar working on Epidemiology, Immunology, Virology, Genetics and Hematology, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (13 papers), Immune Cell Function and Interaction (7 papers), Pneumonia and Respiratory Infections (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Dermatology and Skin Diseases (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Virology (479 citations), Microbiology (254 citations), Immunology (509 citations), Genetics (207 citations) and Hematology (171 citations). Xuejun Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Swamy Yeleswaram, William V. Williams, Peggy Scherle, Naresh Punwani, Jack Shi, Thomas Emm, Yvonne Lo, Shigaku Ikeda, Hideoki Ogawa and Hiroko Ushio. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Virology, Coronary Artery Disease, Nature Communications and iScience.
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.