Chen Tan
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Microbiology top 1%
- Microbial infections and disease research
Papers in
-
- Streptococcal Infections and Treatments 30
- Co-authors
- Huanchun Chen (105 shared papers)Xiangru Wang (60 shared papers)Ruicheng Yang (29 shared papers)Huixin Yu (4 shared papers)Xiufeng Lin (4 shared papers)Zhengwu Wang (3 shared papers)Guo-xian Cao (3 shared papers)Weicheng Bei (23 shared papers)
- Journals
- Veterinary Microbiology (7 papers)International Journal of Molecular Sciences (7 papers)Microbial Pathogenesis (7 papers)Journal of Neuroinflammation (6 papers)ACS Infectious Diseases (5 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Chen Tan
154 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 112
- Endocrinology 444
- Microbiology 419
- Molecular Medicine 302
- Neurology 259
- Infectious Diseases 335
Countries citing papers authored by Chen Tan
This map shows the geographic impact of Chen Tan'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 Chen Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Tan more than expected).
Fields of papers citing papers by Chen Tan
This network shows the impact of papers produced by Chen Tan. 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 Chen Tan. The network helps show where Chen Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Tan, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 237 | |
| 2 | 2010 | 195 | |
| 3 | 2013 | 105 | |
| 4 | 2022 | 104 | |
| 5 | 2011 | 77 | |
| 6 | 2006 | 74 | |
| 7 | 2011 | 67 | |
| 8 | 2022 | 66 | |
| 9 | 2023 | 58 | |
| 10 | 2015 | 58 | |
| 11 | 2016 | 54 | |
| 12 | 2010 | 50 | |
| 13 | 2015 | 50 | |
| 14 | 2023 | 45 | |
| 15 | 2019 | 45 | |
| 16 | 2016 | 45 | |
| 17 | 2011 | 42 | |
| 18 | 2016 | 40 | |
| 19 | 2013 | 39 | |
| 20 | 2012 | 38 |
About Chen Tan
Chen Tan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Endocrinology, Microbiology and Infectious Diseases, having authored 161 papers that have together received 3.3k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (30 papers), Escherichia coli research studies (26 papers), Microbial infections and disease research (21 papers), Antibiotic Resistance in Bacteria (19 papers), Bacteriophages and microbial interactions (14 papers), Cancer-related molecular mechanisms research (11 papers), Vibrio bacteria research studies (10 papers) and Barrier Structure and Function Studies (10 papers). The work is most often cited by research in Endocrinology (444 citations), Microbiology (419 citations), Molecular Medicine (302 citations), Neurology (259 citations) and Infectious Diseases (335 citations). Chen Tan has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Huanchun Chen, Xiangru Wang, Ruicheng Yang, Huixin Yu, Xiufeng Lin, Zhengwu Wang, Guo-xian Cao, Weicheng Bei, Li Zhang and Jiyang Fu. Their work appears in journals such as Veterinary Microbiology, International Journal of Molecular Sciences, Microbial Pathogenesis, Journal of Neuroinflammation and ACS Infectious Diseases.
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.