Ming-Chu Chen

419 citations
6 papers · 342 · h-index 4

Impact in

  • Immunology top 10%
    • Reproductive System and Pregnancy
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Reproductive Physiology in Livestock

Papers in

Ming-Chu Chen

6 papers receiving 337 citations

Peers

Ming-Chu Chen
Comparison fields: 5 of 36
  • Immunology 253
  • Agronomy and Crop Science 82
  • Reproductive Medicine 59
  • Virology 29
  • Obstetrics and Gynecology 29
Replace Ibrahim Sadissou with:
Ibrahim Sadissou Brazil
Miguel Alvarez Spain
Prem Nath Sahai India
Martin Berg New Zealand
Baptiste Fouquet France
Matthew W. Breed United States
Terri Rasmussen United States
Julie Fontaine Canada
H. Näher Germany
Erica Rutherford United States
Ming-Chu Chen relative to Ibrahim Sadissou Brazil Ibrahim Sadissou's profile →
Citations per field
00.5×7.3×
Ibrahim Sadissou · 1×
Citations per year

Countries citing papers authored by Ming-Chu Chen

Since Specialization
Citations

This map shows the geographic impact of Ming-Chu 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 Ming-Chu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Chu Chen more than expected).

Fields of papers citing papers by Ming-Chu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Chu 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 Ming-Chu Chen. The network helps show where Ming-Chu Chen may publish in the future.

Co-authors

The 20 scholars most cited alongside Ming-Chu 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 Ming-Chu Chen Line = papers co-authored together Ming-Chu Chen links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Ming-Chu Chen

Ming-Chu Chen is a scholar working on Epidemiology, Molecular Biology, Virology, Animal Science and Zoology and Agronomy and Crop Science, having authored 6 papers that have together received 342 indexed citations. Recurring topics across this work include Virology and Viral Diseases (2 papers), Animal Virus Infections Studies (1 paper), Cell Adhesion Molecules Research (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Plant Stress Responses and Tolerance (1 paper), Reproductive System and Pregnancy (1 paper), HIV Research and Treatment (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Immunology (253 citations), Agronomy and Crop Science (82 citations), Reproductive Medicine (59 citations), Virology (29 citations) and Obstetrics and Gynecology (29 citations). Ming-Chu Chen has collaborated with scholars based in Taiwan, Japan and South Africa. Frequent co-authors include Akiko Ishitani, Ni Lee, Hans Marquardt, Alison R. Malacko, Jürgen Bajorath, Daniel E. Geraghty, Takayuki Miyazawa, Yasuhiro Ikeda, Eiji Takahashi and Tzong‐Fu Kuo. Their work appears in journals such as Plant Science, Immunity, Journal of Veterinary Medical Science, Chinese Journal of Disease Control and Prevention and Clinical and Diagnostic Laboratory Immunology.

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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