Rea‐Min Chu

1.2k citations
31 papers · 1.0k · h-index 19

Impact in

Papers in

    • Immunotherapy and Immune Responses 12
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 3
    • Immune Response and Inflammation 3
    • Veterinary Oncology Research 13

Rea‐Min Chu

31 papers receiving 973 citations

Peers

Rea‐Min Chu
Comparison fields: 5 of 91
  • Small Animals 153
  • Microbiology 102
  • Immunology 332
  • Pulmonary and Respiratory Medicine 340
  • Biotechnology 85
Replace Manuela Martano with:
Manuela Martano Italy
Jonathan Williams United Kingdom
Pedro Faísca Portugal
Ryoyo Ikebuchi Japan
I. Dolka Poland
Andreas Popp Germany
Elizabeth A. Giuliano United States
Tetsuya Koga Japan
Yoshitomi Aida Japan
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Citations per field
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Citations per year

Countries citing papers authored by Rea‐Min Chu

Since Specialization
Citations

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

Fields of papers citing papers by Rea‐Min Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rea‐Min Chu. 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 Rea‐Min Chu. The network helps show where Rea‐Min Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside Rea‐Min Chu, 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 Rea‐Min Chu Line = papers co-authored together Rea‐Min Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200489
2 200584
3 200878
4 200773
5 200267
6 200854
7
Serum acute phase proteins and swine health status.
200354
8 200945
9 200343
10
Serum C-reactive protein in dairy herds.
200341
11 200838
12 200736
13 200734
14 200932
15 200331
16 200730
17 200125
18 200923
19 201019
20 201118

About Rea‐Min Chu

Rea‐Min Chu is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Genetics, Molecular Biology and Biotechnology, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Veterinary Oncology Research (13 papers), Immunotherapy and Immune Responses (12 papers), Virus-based gene therapy research (11 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), TGF-β signaling in diseases (3 papers), Cancer Research and Treatments (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Small Animals (153 citations), Microbiology (102 citations), Immunology (332 citations), Pulmonary and Respiratory Medicine (340 citations) and Biotechnology (85 citations). Rea‐Min Chu has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Kuang‐Wen Liao, Ya-Wen Hsiao, Shao-Wen Hung, Kuang‐Wen Liao, Tong‐Rong Jan, Yu‐Shan Wang, Yu-Shan Wang, Kwan‐Hwa Chi, Liu Ch and Jim‐Min Fang. Their work appears in journals such as Veterinary Immunology and Immunopathology, The Journal of Immunology, Cancer Immunology Immunotherapy, Cancer Letters and PROTEOMICS.

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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