Jun-Hun Kwon

1.2k citations
42 papers · 938 · h-index 21

Impact in

Papers in

    • Virology and Viral Diseases 13
    • Influenza Virus Research Studies 7
    • Respiratory viral infections research 5
    • Viral gastroenteritis research and epidemiology 13

Jun-Hun Kwon

42 papers receiving 905 citations

Peers

Jun-Hun Kwon
Comparison fields: 5 of 52
  • Animal Science and Zoology 364
  • Agronomy and Crop Science 244
  • Infectious Diseases 419
  • Endocrinology 94
  • Epidemiology 388
Replace Seong-Joon Joh with:
Seong-Joon Joh South Korea
Hsiang‐Jung Tsai Taiwan
Robert J. Eckroade United States
J. K. Rosenberger United States
Véronique Béven France
Jian-hua Zhou China
Sherrill Davison United States
Nguyen Thi Lan Vietnam
Dachrit Nilubol Thailand
Jean-Rémy Sadeyen United Kingdom
Jun-Hun Kwon relative to Seong-Joon Joh South Korea Seong-Joon Joh's profile →
Citations per field
00.5×1.5×2.0×
Seong-Joon Joh · 1×
Citations per year

Countries citing papers authored by Jun-Hun Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Hun Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Hun Kwon. 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 Jun-Hun Kwon. The network helps show where Jun-Hun Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006131
2 200974
3 200858
4 200951
5 201045
6 201040
7 200937
8 201237
9 201037
10 200836
11 200734
12 201132
13 201229
14 200629
15 201029
16 200527
17 200825
18 200823
19 201222
20 201020

About Jun-Hun Kwon

Jun-Hun Kwon is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 42 papers that have together received 938 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (15 papers), Animal Disease Management and Epidemiology (15 papers), Viral gastroenteritis research and epidemiology (13 papers), Virology and Viral Diseases (13 papers), Vector-Borne Animal Diseases (8 papers), Influenza Virus Research Studies (7 papers), Salmonella and Campylobacter epidemiology (5 papers) and Respiratory viral infections research (5 papers). The work is most often cited by research in Animal Science and Zoology (364 citations), Agronomy and Crop Science (244 citations), Infectious Diseases (419 citations), Endocrinology (94 citations) and Epidemiology (388 citations). Jun-Hun Kwon has collaborated with scholars based in South Korea, Mongolia and Cambodia. Frequent co-authors include Yong‐Kuk Kwon, Seong-Joon Joh, Kang-Seuk Choi, Eun‐Kyoung Lee, Anders Lindberg, Min Chul Kim, Sun-Joong Kim, Jae‐Hong Kim, Woo-Jin Jeon and Ok‐Mi Jeong. Their work appears in journals such as Veterinary Microbiology, Journal of Veterinary Science, Avian Diseases, Vaccine and Virus Genes.

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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