Chang-Won Lee

434 citations
21 papers · 352 · h-index 12

Impact in

Papers in

    • Influenza Virus Research Studies 13
    • Respiratory viral infections research 7
    • Viral gastroenteritis research and epidemiology 5
    • Viral Infections and Vectors 3

Chang-Won Lee

21 papers receiving 345 citations

Peers

Chang-Won Lee
Comparison fields: 5 of 52
  • Animal Science and Zoology 106
  • Infectious Diseases 143
  • Epidemiology 179
  • Agronomy and Crop Science 55
  • Immunology 66
Replace Joshua D. Yoder with:
Joshua D. Yoder United States
Qiuyan Lin China
Anna Pikuła Poland
Ana Paula Ravazzolo Brazil
Xiumiao He China
Eveline D. de Geus Netherlands
Jinyou Ma China
Enrique Montiel United States
A.A.W.M. van Loon Netherlands
Chang-Won Lee relative to Joshua D. Yoder United States Joshua D. Yoder's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chang-Won Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Won 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 Chang-Won Lee. The network helps show where Chang-Won Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200572
2 201441
3 201832
4 201624
5 201022
6 201020
7 201820
8 201720
9 201216
10 201916
11 201313
12 201911
13 202010
14 20159
15 20139
16 20199
17 20234
18 20231
19 20181
20 20231

About Chang-Won Lee

Chang-Won Lee is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Agronomy and Crop Science, having authored 21 papers that have together received 352 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Immune Response and Inflammation (4 papers), vaccines and immunoinformatics approaches (3 papers), Viral Infections and Vectors (3 papers), Animal Disease Management and Epidemiology (3 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Animal Science and Zoology (106 citations), Infectious Diseases (143 citations), Epidemiology (179 citations), Agronomy and Crop Science (55 citations) and Immunology (66 citations). Chang-Won Lee has collaborated with scholars based in United States, Egypt and South Korea. Frequent co-authors include John M. Ngunjiri, Hyesun Jang, Amir Ghorbani, Philip I. Marcus, Mohamed Elaish, Michael C. Abundo, Mahesh KC, Scott A. Callison, Mark W. Jackwood and Deborah A. Hilt. Their work appears in journals such as Avian Diseases, PLoS ONE, Vaccine, Journal of Virology and The American Journal of Chinese Medicine.

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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