Hu Suk Lee

943 citations
41 papers · 623 · h-index 15

Impact in

Papers in

Hu Suk Lee

39 papers receiving 615 citations

Peers

Hu Suk Lee
Comparison fields: 5 of 69
  • Agronomy and Crop Science 251
  • Infectious Diseases 261
  • Animal Science and Zoology 110
  • Modeling and Simulation 42
  • Ecology, Evolution, Behavior and Systematics 158
Replace Weerapong Thanapongtharm with:
Weerapong Thanapongtharm Thailand
Thibaud Porphyre United Kingdom
Gert Jan Boender Netherlands
Hachung Yoon South Korea
Andrea Gervelmeyer Sweden
Moh A. Alkhamis Kuwait
A.A. de Koeijer Netherlands
Davun Holl Cambodia
Fufa Dawo Ethiopia
F. Moutou France
Hu Suk Lee relative to Weerapong Thanapongtharm Thailand Weerapong Thanapongtharm's profile →
Citations per field
00.5×1.5×2.1×
Weerapong Thanapongtharm · 1×
Citations per year

Countries citing papers authored by Hu Suk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hu Suk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hu Suk Lee. 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 Hu Suk Lee. The network helps show where Hu Suk Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201759
2 202157
3 201842
4 201241
5 202237
6 202131
7 201731
8 201724
9 201824
10 201921
11 202021
12 201819
13 202119
14 201917
15 201716
16 201514
17 201913
18 201612
19 202012
20 202010

About Hu Suk Lee

Hu Suk Lee is a scholar working on Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 41 papers that have together received 623 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (25 papers), Vector-Borne Animal Diseases (13 papers), Viral Infections and Immunology Research (12 papers), Viral gastroenteritis research and epidemiology (12 papers), Viral Infections and Vectors (8 papers), Animal Virus Infections Studies (6 papers), Zoonotic diseases and public health (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Agronomy and Crop Science (251 citations), Infectious Diseases (261 citations), Animal Science and Zoology (110 citations), Modeling and Simulation (42 citations) and Ecology, Evolution, Behavior and Systematics (158 citations). Hu Suk Lee has collaborated with scholars based in Vietnam, South Korea and Kenya. Frequent co-authors include Hung Nguyen‐Viet, Delia Grace, Mihye Lee, Barbara Wieland, Anh Ngoc Bui, Vuong Nghia Bui, Krishna K. Thakur, Phuc Pham Ðuc, George E. Moore and Michael Levine. Their work appears in journals such as Frontiers in Veterinary Science, PLoS ONE, BMC Veterinary Research, Transboundary and Emerging Diseases and Veterinary Quarterly.

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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