Won-Ja Lee

537 citations
20 papers · 428 · h-index 12

Impact in

    • Vector-borne infectious diseases
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • Dermatological diseases and infestations

Papers in

Won-Ja Lee

20 papers receiving 417 citations

Peers

Won-Ja Lee
Comparison fields: 5 of 56
  • Parasitology 122
  • Infectious Diseases 270
  • Public Health, Environmental and Occupational Health 139
  • Ecology, Evolution, Behavior and Systematics 91
  • Small Animals 17
Replace Lavoisier Akoolo with:
Lavoisier Akoolo United States
Mi Yeoun Park South Korea
Sophie Pradier France
Moussa Moïse Diagne Senegal
Hyeon‐Je Song South Korea
Hee Il Lee South Korea
Anthony L. Schuster United States
Jia-Fu Jiang China
Mansour F. Hussein Saudi Arabia
N Piazak Iran
Won-Ja Lee relative to Lavoisier Akoolo United States Lavoisier Akoolo's profile →
Citations per field
00.5×1.5×2.3×
Lavoisier Akoolo · 1×
Citations per year

Countries citing papers authored by Won-Ja Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won-Ja Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201999
2 201048
3 200641
4 201635
5 201124
6 201023
7 201421
8 201420
9 200720
10 201415
11 201515
12 201414
13 201611
14 201111
15 20139
16 20119
17 20147
18 20163
19 20122
20 20141

About Won-Ja Lee

Won-Ja Lee is a scholar working on Infectious Diseases, Parasitology, Public Health, Environmental and Occupational Health, Molecular Biology and Ecology, having authored 20 papers that have together received 428 indexed citations. Recurring topics across this work include Viral Infections and Vectors (8 papers), Mosquito-borne diseases and control (3 papers), Parasite Biology and Host Interactions (3 papers), Vector-Borne Animal Diseases (2 papers), Malaria Research and Control (2 papers), Vector-borne infectious diseases (2 papers), Parasites and Host Interactions (2 papers) and Fire effects on ecosystems (2 papers). The work is most often cited by research in Parasitology (122 citations), Infectious Diseases (270 citations), Public Health, Environmental and Occupational Health (139 citations), Ecology, Evolution, Behavior and Systematics (91 citations) and Small Animals (17 citations). Won-Ja Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Terry A. Klein, Seok‐Min Yun, Sang‐Eun Lee, Heung-Chul Kim, Young-Il Jeong, David J. Dohm, Christopher N. Mores, Eun-Ha Kim, Young‐Il Kim and Joo-Yeon Lee. Their work appears in journals such as Parasitology Research, Journal of Medical Entomology, Foodborne Pathogens and Disease, Malaria Journal and Veterinary Parasitology.

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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