Yan Chen
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Oncology top 5%
- Viral-associated cancers and disorders
- Cancer Cells and Metastasis
Papers in
-
- MicroRNA in disease regulation 13
- Oncology 22
- Cancer-related Molecular Pathways 6
- Co-authors
- Rebecca L. Skalsky (4 shared papers)Deyue Yan (4 shared papers)Zhugang Wang (9 shared papers)Xinyuan Zhu (3 shared papers)Siyan Zhan (1 shared paper)Takao Sakai (1 shared paper)Reinhard Faessler (1 shared paper)Daniel B. Rifkin (1 shared paper)
- Journals
- PLoS ONE (6 papers)Poultry Science (4 papers)Scientific Reports (3 papers)Cellular Immunology (3 papers)PLoS Pathogens (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yan Chen
179 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 140
- Cancer Research 368
- Oncology 387
- Reproductive Medicine 169
- Aging 25
- Obstetrics and Gynecology 129
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-authors
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
Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 192 | |
| 2 | 2005 | 155 | |
| 3 | 2011 | 120 | |
| 4 | 2012 | 120 | |
| 5 | 2016 | 103 | |
| 6 | 2010 | 95 | |
| 7 | Drug-metabolising enzyme polymorphisms and predisposition to anti-tuberculosis drug-induced liver injury: a meta-analysis. | 2008 | 86 |
| 8 | 2017 | 74 | |
| 9 | 2021 | 73 | |
| 10 | 2012 | 70 | |
| 11 | 2017 | 69 | |
| 12 | 2024 | 63 | |
| 13 | 2017 | 59 | |
| 14 | 2019 | 59 | |
| 15 | 2011 | 56 | |
| 16 | 2022 | 56 | |
| 17 | 2024 | 56 | |
| 18 | 2005 | 54 | |
| 19 | 2012 | 53 | |
| 20 | 2015 | 53 |
About Yan Chen
Yan Chen is a scholar working on Cancer Research, Oncology, Obstetrics and Gynecology, Health, Toxicology and Mutagenesis and Cellular and Molecular Neuroscience, having authored 193 papers that have together received 3.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Heavy Metal Exposure and Toxicity (7 papers), Cancer-related Molecular Pathways (6 papers), Microplastics and Plastic Pollution (5 papers), Maternal and Perinatal Health Interventions (5 papers), Spine and Intervertebral Disc Pathology (5 papers), IL-33, ST2, and ILC Pathways (4 papers) and Urological Disorders and Treatments (4 papers). The work is most often cited by research in Cancer Research (368 citations), Oncology (387 citations), Reproductive Medicine (169 citations), Aging (25 citations) and Obstetrics and Gynecology (129 citations). Yan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rebecca L. Skalsky, Deyue Yan, Zhugang Wang, Xinyuan Zhu, Siyan Zhan, Takao Sakai, Reinhard Faessler, Daniel B. Rifkin, Petra Prijatelj and Lynn Y. Sakai. Their work appears in journals such as PLoS ONE, Poultry Science, Scientific Reports, Cellular Immunology and PLoS Pathogens.
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.