Yan Chen
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 33
- Endocrinology top 1%
- Microbiology top 1%
- Antimicrobial Peptides and Activities 8
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus 46
- SARS-CoV-2 and COVID-19 Research 9
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- Bacterial biofilms and quorum sensing 44
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- Bacterial Identification and Susceptibility Testing 13
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- Bacteriophages and microbial interactions 12
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- Pharmaceutical and Antibiotic Environmental Impacts 10
- Co-authors
- Yan JiangYunsong YuZhihui ZhouYang YuHaiping WangYing FuLu SunZhi Ruan
- Journals
- Journal of Antimicrobial Chemotherapy (10 papers)Antimicrobial Agents and Chemotherapy (8 papers)Infection and Drug Resistance (6 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yan Chen
175 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 158
- Molecular Medicine 1.0k
- Endocrinology 432
- Microbiology 401
- Applied Microbiology and Biotechnology 124
- Infectious Diseases 881
Countries citing papers authored by Yan Chen
This map shows the geographic impact of Yan 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 Yan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Chen more than expected).
Fields of papers citing papers by Yan Chen
This network shows the impact of papers produced by Yan 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 Yan Chen. The network helps show where Yan Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 39 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 0 | |
| 11 | 2021 | 21 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 31 | |
| 15 | 2020 | 88 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 21 | |
| 18 | 2019 | 7 | |
| 19 | [An epidemiological survey on management and insights of asthma in China in 2009 to 2010]. | 2015 | 2 |
| 20 | Effect of Oxytetracycline Hydrochloride on Pine Wood Nematode Disease | 2004 | 1 |
About Yan Chen
Yan Chen is a scholar working on Molecular Medicine, Infectious Diseases and Microbiology, having authored 187 papers that have together received 3.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (46 papers), Bacterial biofilms and quorum sensing (44 papers), Antibiotic Resistance in Bacteria (33 papers), Bacterial Identification and Susceptibility Testing (13 papers), Bacteriophages and microbial interactions (12 papers), Pharmaceutical and Antibiotic Environmental Impacts (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Antimicrobial Peptides and Activities (8 papers). The work is most often cited by research in Molecular Medicine (1.0k citations), Endocrinology (432 citations) and Microbiology (401 citations). Yan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yan Jiang, Yunsong Yu, Zhihui Zhou, Yang Yu, Haiping Wang, Ying Fu, Lu Sun, Zhi Ruan, Gary Wong and Jingjing Quan. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, Infection and Drug Resistance, International Journal of Antimicrobial Agents and Frontiers in Microbiology.
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.