Chen‐Chung Chu

964 citations
30 papers · 685 indexed · h-index 18

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
  • Hematology top 10%
    • Blood groups and transfusion

Papers in

    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 6
    • Immunodeficiency and Autoimmune Disorders 3
    • Blood groups and transfusion 6

Chen‐Chung Chu

30 papers receiving 675 citations

Peers

Chen‐Chung Chu
Comparison fields: 5 of 70
  • Immunology 288
  • Hematology 126
  • Genetics 193
  • Hepatology 38
  • Infectious Diseases 79
Replace Marta Zelazko with:
Marta Zelazko Argentina
H. Makni Tunisia
Ren Zhu France
Alex So United Kingdom
Licinio Contu Italy
Laura Horváth Hungary
S. F. Goldmann Germany
Michał Abel France
J.M. Moulds United States
Chantal Dumestre‐Pérard France
Chen‐Chung Chu relative to Marta Zelazko Argentina Marta Zelazko's profile →
Citations per field
00.5×1.5×2.2×
Marta Zelazko · 1×
Citations per year

Countries citing papers authored by Chen‐Chung Chu

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Chung Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20203
2 201910
3 201574
4 201410
5 201422
6 201323
7 201157
8 201011
9 200928
10 200916
11 200814
12 200812
13 200823
14 200772
15 200714
16 200645
17 200631
18 20053
19 200120
20 199918

About Chen‐Chung Chu

Chen‐Chung Chu is a scholar working on Immunology, Hematology, Genetics, Hepatology and Gastroenterology, having authored 30 papers that have together received 685 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (6 papers), Blood groups and transfusion (6 papers), Kawasaki Disease and Coronary Complications (4 papers), Blood disorders and treatments (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Immunology (288 citations), Hematology (126 citations), Genetics (193 citations), Hepatology (38 citations) and Infectious Diseases (79 citations). Chen‐Chung Chu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Marie Lin, Yann‐Jinn Lee, Hsin‐Fu Liu, Tzu‐Yang Chang, Yuh‐Cheng Yang, Wei‐Shiung Yang, Pei‐Lung Chen, Cathy S.J. Fann, Chien-Ching Chang and Tien‐Chun Chang. Their work appears in journals such as Transfusion, Human Immunology, Journal of Clinical Immunology, Vox Sanguinis and Journal of 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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