Mei‐Ru Chen

3.7k citations
126 papers · 3.0k · h-index 31

Impact in

  • Oncology top 2%
    • Viral-associated cancers and disorders
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments

Papers in

Mei‐Ru Chen

123 papers receiving 3.0k citations

Peers

Mei‐Ru Chen
Comparison fields: 5 of 141
  • Oncology 1.4k
  • Epidemiology 897
  • Immunology 442
  • Pathology and Forensic Medicine 320
  • Infectious Diseases 303
Replace Kazuhiko Hayashi with:
Kazuhiko Hayashi Japan
Aloysius John Klingelhutz United States
Carla A. Herberts Netherlands
Paul J. M. Roholl Netherlands
Deborah A. Knight United States
Hitoshi Takizawa Japan
Ting Ni China
Tomomichi Ono Japan
Sabine Köhler United States
Qi Tang China
Mei‐Ru Chen relative to Kazuhiko Hayashi Japan Kazuhiko Hayashi's profile →
Citations per field
00.5×2×3×4×4.7×
Kazuhiko Hayashi · 1×
Citations per year

Countries citing papers authored by Mei‐Ru Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mei‐Ru Chen Line = papers co-authored together Mei‐Ru Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011144
2 2008120
3 2008104
4 2012103
5 200098
6 199391
7 201683
8 202382
9 201481
10 201166
11 200966
12 201065
13 200765
14 200559
15 201057
16 201255
17 199753
18 200651
19 200848
20 200547

About Mei‐Ru Chen

Mei‐Ru Chen is a scholar working on Oncology, Infectious Diseases, Health, Toxicology and Mutagenesis, Epidemiology and Immunology, having authored 126 papers that have together received 3.0k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (42 papers), Cytomegalovirus and herpesvirus research (15 papers), Parvovirus B19 Infection Studies (13 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 Virus-based gene therapy research (6 papers). The work is most often cited by research in Oncology (1.4k citations), Epidemiology (897 citations), Immunology (442 citations), Pathology and Forensic Medicine (320 citations) and Infectious Diseases (303 citations). Mei‐Ru Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chung‐Pei Lee, Ching-Hwa Ann Tsai, Jen‐Yang Chen, Jiin-Tarng Wang, S. Diane Hayward, Perng‐Jy Tsai, Jaap Michiel Middeldorp, Ching‐Hwa Tsai, Shin-Lian Doong and Su‐Fang Lin. Their work appears in journals such as Journal of Virology, Journal of General Virology, Journal of Biomedical Science, Aerosol and Air Quality Research and Virology.

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.

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