Chia‐Chi Ku

3.0k citations
48 papers · 2.4k indexed · 1 hit paper · h-index 24

Impact in

  • Virology top 2%
    • Poxvirus research and outbreaks
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Chia‐Chi Ku

48 papers receiving 2.3k citations

Hit Papers

Control of Homeostasis of CD8 + Memory T Cells by Opposing Cytokines 2000 · 702 citations
7022000202620082017200400600

Peers

Chia‐Chi Ku
Comparison fields: 5 of 112
  • Virology 268
  • Immunology 1.1k
  • Parasitology 202
  • Epidemiology 932
  • Animal Science and Zoology 144
Replace Graham R. Leggatt with:
Graham R. Leggatt Australia
John E. Oakes United States
Dorothy E. Scott United States
Alice J.A.M. Sijts Netherlands
Takuya Mizuno Japan
Aimin Tang United States
Magdalena Tary‐Lehmann United States
Chae Gyu Park United States
Toshihiro WATARI Japan
Francisco Borrás‐Cuesta Spain
Chia‐Chi Ku relative to Graham R. Leggatt Australia Graham R. Leggatt's profile →
Citations per field
00.5×1.5×2.1×
Graham R. Leggatt · 1×
Citations per year

Countries citing papers authored by Chia‐Chi Ku

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Chi Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Chi Ku. 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 Chia‐Chi Ku. The network helps show where Chia‐Chi Ku may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20241
3 202316
4 20232
5 20232
6 20221
7 20221
8 202122
9 20216
10 201927
11 201612
12 201323
13 201219
14 201065
15 200970
16 2006149
17 200567
18 2004159
19 200161
20 199448

About Chia‐Chi Ku

Chia‐Chi Ku is a scholar working on Virology, Parasitology, Epidemiology, Immunology and Modeling and Simulation, having authored 48 papers that have together received 2.4k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (12 papers), T-cell and B-cell Immunology (6 papers), Influenza Virus Research Studies (5 papers), Immune Cell Function and Interaction (5 papers), Poxvirus research and outbreaks (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Virus-based gene therapy research (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Virology (268 citations), Immunology (1.1k citations), Parasitology (202 citations), Epidemiology (932 citations) and Animal Science and Zoology (144 citations). Chia‐Chi Ku has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Philippa Marrack, John W. Kappler, Akemi Sakamoto, Masaaki Murakami, Ann M. Arvin, Leigh Zerboni, Charles Grose, Hideki Ito, Marvin Sommer and Ming‐Hsien Chien. Their work appears in journals such as Journal of Virology, International Journal of Infectious Diseases, Cancers, Proceedings of the National Academy of Sciences and Vaccine.

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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2026