Anjun Chen
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Immunology top 5%
- Immune Response and Inflammation
- Atherosclerosis and Cardiovascular Diseases
Papers in
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- Artificial Intelligence in Healthcare and Education 3
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- Artificial Intelligence in Healthcare 3
- Co-authors
- Thomas F. TedderPablo EngelDouglas A. SteeberC. Dale PoulterPing‐Chiang LyuNeville R. KallenbachKevin L. MooreMartha Delahunty
- Journals
- Journal of Biological Chemistry (2 papers)Scientific Reports (1 paper)JAMA Network Open (1 paper)The Journal of Experimental Medicine (1 paper)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Anjun Chen
30 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Immunology and Allergy 526
- Immunology 496
- Health Informatics 26
- Molecular Biology 833
- Hematology 111
Countries citing papers authored by Anjun Chen
This map shows the geographic impact of Anjun 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 Anjun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anjun Chen more than expected).
Fields of papers citing papers by Anjun Chen
This network shows the impact of papers produced by Anjun 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 Anjun Chen. The network helps show where Anjun Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anjun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 20 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2011 | 20 | |
| 14 | 2008 | 29 | |
| 15 | 1996 | 98 | |
| 16 | 1995 | 140 | |
| 17 | 1994 | 31 | |
| 18 | 1994 | 192 | |
| 19 | 1993 | 37 | |
| 20 | 1992 | 3 |
About Anjun Chen
Anjun Chen is a scholar working on Health Informatics, Health Information Management, Immunology and Allergy, Artificial Intelligence and Molecular Biology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (6 papers), Machine Learning in Healthcare (5 papers), Enzyme Structure and Function (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Artificial Intelligence in Healthcare (3 papers), Biomedical Text Mining and Ontologies (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Immunology and Allergy (526 citations), Immunology (496 citations), Health Informatics (26 citations), Molecular Biology (833 citations) and Hematology (111 citations). Anjun Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Thomas F. Tedder, Pablo Engel, Douglas A. Steeber, C. Dale Poulter, Ping‐Chiang Lyu, Neville R. Kallenbach, Kevin L. Moore, Martha Delahunty, Susan R. Watson and R P McEver. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, JAMA Network Open, The Journal of Experimental Medicine and Archives of Biochemistry and Biophysics.
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.