Chen Tan
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Microbiology top 1%
- Microbial infections and disease research
- Bacterial Infections and Vaccines
Papers in
-
- Escherichia coli research studies 26
- Microbiology 28
- Microbial infections and disease research 18
- Co-authors
- Huanchun Chen (108 shared papers)Xiangru Wang (67 shared papers)Ruicheng Yang (31 shared papers)Xiufeng Lin (4 shared papers)Huixin Yu (4 shared papers)Guo-xian Cao (3 shared papers)Zhengwu Wang (3 shared papers)Weicheng Bei (23 shared papers)
- Journals
- International Journal of Molecular Sciences (8 papers)Veterinary Microbiology (7 papers)Microbial Pathogenesis (7 papers)ACS Infectious Diseases (6 papers)Journal of Neuroinflammation (6 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Chen Tan
172 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 107
- Endocrinology 386
- Microbiology 377
- Neurology 398
- Molecular Medicine 283
- Small Animals 105
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 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 238 | |
| 2 | 2010 | 195 | |
| 3 | 2022 | 112 | |
| 4 | 2013 | 106 | |
| 5 | 2011 | 78 | |
| 6 | 2006 | 77 | |
| 7 | 2022 | 71 | |
| 8 | 2011 | 67 | |
| 9 | 2023 | 67 | |
| 10 | 2015 | 62 | |
| 11 | 2016 | 54 | |
| 12 | 2015 | 51 | |
| 13 | 2010 | 50 | |
| 14 | 2023 | 50 | |
| 15 | 2016 | 47 | |
| 16 | 2019 | 47 | |
| 17 | 2011 | 45 | |
| 18 | 2016 | 44 | |
| 19 | 2013 | 39 | |
| 20 | 2012 | 38 |
About Chen Tan
Chen Tan is a scholar working on Endocrinology, Microbiology, Neurology, Molecular Medicine and Public Health, Environmental and Occupational Health, having authored 179 papers that have together received 3.5k 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 (18 papers), Barrier Structure and Function Studies (17 papers), Antibiotic Resistance in Bacteria (12 papers), Tuberculosis Research and Epidemiology (8 papers), Animal Virus Infections Studies (8 papers) and Chromosomal and Genetic Variations (8 papers). The work is most often cited by research in Endocrinology (386 citations), Microbiology (377 citations), Neurology (398 citations), Molecular Medicine (283 citations) and Small Animals (105 citations). Chen Tan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Huanchun Chen, Xiangru Wang, Ruicheng Yang, Xiufeng Lin, Huixin Yu, Guo-xian Cao, Zhengwu Wang, Weicheng Bei, Jiyang Fu and Manli Liu. Their work appears in journals such as International Journal of Molecular Sciences, Veterinary Microbiology, Microbial Pathogenesis, ACS Infectious Diseases and Journal of Neuroinflammation.
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.