Anjun Chen

2.2k citations
38 papers · 1.9k · 1 hit paper · h-index 14

Impact in

Papers in

Anjun Chen

34 papers receiving 1.8k citations

Anjun Chen's Hit Papers

The selecting: vascular adhesion molecules 1995 · 811 citations
8110+10+20Years since publication250500750

Peers

Anjun Chen
Comparison fields: 5 of 137
  • Immunology and Allergy 515
  • Immunology 461
  • Health Informatics 29
  • Molecular Biology 848
  • Biochemistry 58
Replace Oliver Wiedow with:
Oliver Wiedow Germany
Dong Lu China
Paola Nisticò Italy
James M. Grichnik United States
Makram Essafi Tunisia
Toshiya Nakamura Japan
Sari Suomela Finland
Elizabeth A. Chlipala United States
Sarah C. Mullaly Canada
Bernd Bonnekoh Germany
Anjun Chen relative to Oliver Wiedow Germany Oliver Wiedow's profile →
Citations per field
00.5×1.5×2.2×
Oliver Wiedow · 1×
Citations per year

Countries citing papers authored by Anjun Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anjun Chen Line = papers co-authored together Anjun Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The selecting: vascular adhesion molecules
Hit paper breakdown →
1995811
2 1994200
3 1991174
4 1995150
5 1996105
6 199373
7 202242
8 199341
9 202339
10 199434
11 200132
12 200832
13 201122
14 202317
15 202213
16 202110
17 20088
18 20226
19 20226
20 20255

About Anjun Chen

Anjun Chen is a scholar working on Health Informatics, Immunology and Allergy, Molecular Biology, Health Information Management and Artificial Intelligence, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (6 papers), Artificial Intelligence in Healthcare and Education (4 papers), Enzyme Structure and Function (4 papers), Cell Adhesion Molecules Research (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Machine Learning in Healthcare (3 papers), Wireless Signal Modulation Classification (2 papers) and Radar Systems and Signal Processing (2 papers). The work is most often cited by research in Immunology and Allergy (515 citations), Immunology (461 citations), Health Informatics (29 citations), Molecular Biology (848 citations) and Biochemistry (58 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, Pingchiang C. Lyu, Kevin L. Moore, R P McEver, Martha D. Delahunty and Susan R. Watson. Their work appears in journals such as Journal of Biological Chemistry, Food Bioscience, Plant Science, Bioscience Biotechnology and Biochemistry and Cancer Epidemiology Biomarkers & Prevention.

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.

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