Mei‐Ru Chen
Impact in
- Oncology top 2%
- Viral-associated cancers and disorders
- Epidemiology top 2%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
- Oncology 51
- Viral-associated cancers and disorders 41
- Polyomavirus and related diseases 5
- Co-authors
- Chung‐Pei Lee (18 shared papers)Ching-Hwa Tsai (16 shared papers)Jiin-Tarng Wang (10 shared papers)Jen‐Yang Chen (11 shared papers)S. Diane Hayward (3 shared papers)Perng‐Jy Tsai (9 shared papers)Jaap M. Middeldorp (3 shared papers)Su‐Fang Lin (6 shared papers)
- Journals
- Journal of Virology (23 papers)Journal of General Virology (9 papers)Journal of Biomedical Science (4 papers)Virology (3 papers)Veterinary Sciences (3 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Mei‐Ru Chen
119 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 139
- Oncology 1.3k
- Epidemiology 870
- Immunology 413
- Pathology and Forensic Medicine 295
- Infectious Diseases 282
Countries citing papers authored by Mei‐Ru Chen
This map shows the geographic impact of Mei‐Ru 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 Mei‐Ru Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Ru Chen more than expected).
Fields of papers citing papers by Mei‐Ru Chen
This network shows the impact of papers produced by Mei‐Ru 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 Mei‐Ru Chen. The network helps show where Mei‐Ru Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei‐Ru 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 138 | |
| 2 | 2008 | 116 | |
| 3 | 2008 | 102 | |
| 4 | 2012 | 100 | |
| 5 | 2000 | 89 | |
| 6 | 1993 | 88 | |
| 7 | 2016 | 76 | |
| 8 | 2023 | 75 | |
| 9 | 2014 | 73 | |
| 10 | 2010 | 64 | |
| 11 | 2007 | 64 | |
| 12 | 2009 | 63 | |
| 13 | 2011 | 60 | |
| 14 | 2005 | 59 | |
| 15 | 2012 | 53 | |
| 16 | 1997 | 53 | |
| 17 | 2010 | 51 | |
| 18 | 2006 | 48 | |
| 19 | 2008 | 46 | |
| 20 | 2019 | 45 |
About Mei‐Ru Chen
Mei‐Ru Chen is a scholar working on Oncology, Molecular Biology, Epidemiology, Infectious Diseases and Health, Toxicology and Mutagenesis, having authored 122 papers that have together received 2.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (41 papers), Cytomegalovirus and herpesvirus research (14 papers), Parvovirus B19 Infection Studies (12 papers), Air Quality and Health Impacts (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Herpesvirus Infections and Treatments (9 papers), Histiocytic Disorders and Treatments (7 papers) and Polyomavirus and related diseases (5 papers). The work is most often cited by research in Oncology (1.3k citations), Epidemiology (870 citations), Immunology (413 citations), Pathology and Forensic Medicine (295 citations) and Infectious Diseases (282 citations). Mei‐Ru Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chung‐Pei Lee, Ching-Hwa Tsai, Jiin-Tarng Wang, Jen‐Yang Chen, S. Diane Hayward, Perng‐Jy Tsai, Jaap M. Middeldorp, Su‐Fang Lin, Shin-Lian Doong and Ching‐Hwa Tsai. Their work appears in journals such as Journal of Virology, Journal of General Virology, Journal of Biomedical Science, Virology and Veterinary Sciences.
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.