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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- Plant biochemistry and biosynthesis 6
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- Machine Learning in Healthcare 3
- Co-authors
- Thomas F. Tedder (4 shared papers)Pablo Engel (3 shared papers)Douglas A. Steeber (1 shared paper)C. Dale Poulter (6 shared papers)Neville R. Kallenbach (1 shared paper)Ping‐Chiang Lyu (1 shared paper)Susan R. Watson (1 shared paper)Martha Delahunty (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Medical Internet Research (1 paper)The Journal of Experimental Medicine (1 paper)Food Hydrocolloids (1 paper)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Anjun Chen
34 papers receiving 1.7k citations
Anjun Chen's Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology and Allergy 519
- Immunology 460
- Health Informatics 23
- Molecular Biology 846
- Hematology 107
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-authors
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
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The selecting: vascular adhesion molecules Hit paper breakdown → | 1995 | 810 |
| 2 | 1994 | 202 | |
| 3 | 1991 | 171 | |
| 4 | 1995 | 146 | |
| 5 | 1996 | 106 | |
| 6 | 1993 | 73 | |
| 7 | 1993 | 39 | |
| 8 | 2022 | 35 | |
| 9 | 1994 | 34 | |
| 10 | 2023 | 34 | |
| 11 | 2008 | 32 | |
| 12 | 2001 | 31 | |
| 13 | 2011 | 22 | |
| 14 | 2023 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2021 | 9 | |
| 17 | 2008 | 8 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 4 |
About Anjun Chen
Anjun Chen is a scholar working on Molecular Biology, Artificial Intelligence, Pharmacology, Computer Vision and Pattern Recognition and Immunology and Allergy, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (6 papers), Enzyme Structure and Function (4 papers), Cell Adhesion Molecules Research (4 papers), Machine Learning in Healthcare (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Electronic Health Records Systems (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Immunology and Allergy (519 citations), Immunology (460 citations), Health Informatics (23 citations), Molecular Biology (846 citations) and Hematology (107 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, Neville R. Kallenbach, Ping‐Chiang Lyu, Susan R. Watson, Martha Delahunty, Lili Tu and R P McEver. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medical Internet Research, The Journal of Experimental Medicine, Food Hydrocolloids 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.