Hyuk Chu

781 citations
36 papers · 608 · h-index 15

Impact in

    • Vector-borne infectious diseases
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Vector-borne infectious diseases 15
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 5
    • Toxin Mechanisms and Immunotoxins 4

Hyuk Chu

36 papers receiving 593 citations

Peers

Hyuk Chu
Comparison fields: 5 of 82
  • Parasitology 187
  • Infectious Diseases 185
  • Immunology 131
  • Endocrinology 27
  • Small Animals 38
Replace Sarah Thomson with:
Sarah Thomson United Kingdom
Kun‐Wei Chan Taiwan
Mário Augusto Ono Brazil
Jianmei Yang China
Rodrigo P. Baptista United States
Gustavo Fontecha Honduras
Huanqin Zheng China
Shailendra Kumar Verma India
S. K. Dutta United States
Mahmoud Mohamed Bahgat Egypt
Hyuk Chu relative to Sarah Thomson United Kingdom Sarah Thomson's profile →
Citations per field
00.5×10.5×
Sarah Thomson · 1×
Citations per year

Countries citing papers authored by Hyuk Chu

Since Specialization
Citations

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

Fields of papers citing papers by Hyuk Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201759
2 201054
3 200852
4 200940
5 200637
6 201832
7 200526
8 201524
9 201223
10 201323
11 200521
12 200820
13 201917
14 201117
15 201316
16 201914
17 201913
18 201713
19 201512
20 201811

About Hyuk Chu

Hyuk Chu is a scholar working on Parasitology, Immunology, Infectious Diseases, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 36 papers that have together received 608 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (15 papers), Viral Infections and Vectors (6 papers), Vector-Borne Animal Diseases (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Brucella: diagnosis, epidemiology, treatment (4 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Parasitology (187 citations), Infectious Diseases (185 citations), Immunology (131 citations), Endocrinology (27 citations) and Small Animals (38 citations). Hyuk Chu has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Cheol‐Heui Yun, Seung Hyun Han, Kyu Jam Hwang, Myung‐Sik Choi, Nam‐Hyuk Cho, Mi‐Yeoun Park, Sung‐Moo Park, Yoon-Chul Kye, Chong‐Su Cho and I S Kim. Their work appears in journals such as Osong Public Health and Research Perspectives, Immune Network, Molecular Immunology, The Journal of Microbiology and The Journal of Infectious Diseases.

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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