Rea‐Min Chu

1.2k citations
31 papers · 955 · h-index 18

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 923 citations

Peers

Rea‐Min Chu
Comparison fields: 5 of 91
  • Small Animals 158
  • Microbiology 102
  • Immunology 337
  • Pulmonary and Respiratory Medicine 333
  • Biotechnology 85
Replace I. Dolka with:
I. Dolka Poland
Toshiharu Hayashi Japan
Jonathan Williams United Kingdom
Fernando Constantino‐Casas United Kingdom
R. Lechowski Poland
Jarmo Wahlfors Finland
Elizabeth A. Giuliano United States
James A. DeVoti United States
Thang V. Pham United Kingdom
Anne Mueller United States
Rea‐Min Chu relative to I. Dolka Poland I. Dolka's profile →
Citations per field
00.5×5.3×
I. Dolka · 1×
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 200484
2 200874
3 200573
4 200769
5 200265
6 200854
7
Serum acute phase proteins and swine health status.
200350
8 200942
9 200340
10 200836
11
Serum C-reactive protein in dairy herds.
200336
12 200733
13 200732
14 200930
15 200330
16 200729
17 200124
18 200923
19 200817
20 201017

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 955 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), TGF-β signaling in diseases (3 papers), Cancer Research and Treatments (3 papers), Immune Cell Function and Interaction (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Small Animals (158 citations), Microbiology (102 citations), Immunology (337 citations), Pulmonary and Respiratory Medicine (333 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 Shu‐Hong Lin. Their work appears in journals such as Veterinary Immunology and Immunopathology, Cancer Immunology Immunotherapy, The Journal of Immunology, Cancer Letters and Journal of Veterinary Diagnostic Investigation.

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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