Yoon‐Won Kim

564 citations
19 papers · 349 · h-index 10

Impact in

  • Biophysics top 2%
    • Electromagnetic Fields and Biological Effects
    • Vector-borne infectious diseases

Papers in

Yoon‐Won Kim

18 papers receiving 337 citations

Peers

Yoon‐Won Kim
Comparison fields: 5 of 60
  • Biophysics 167
  • Parasitology 101
  • Physiology 23
  • Infectious Diseases 80
  • Public Health, Environmental and Occupational Health 112
Replace Rita L. Cardoni with:
Rita L. Cardoni Argentina
Youssef Ahmed Egypt
Enara Aguirre Spain
Ava Hosseinzadeh Sweden
Sebastian Hutchinson United Kingdom
Alfredo Panebra United States
Ana Brennand United Kingdom
Vincent A. Streva United States
Jeffrey S. Buguliskis United States
Alex P. McLatchie United Kingdom
Yoon‐Won Kim relative to Rita L. Cardoni Argentina Rita L. Cardoni's profile →
Citations per field
00.5×10×13.9×
Rita L. Cardoni · 1×
Citations per year

Countries citing papers authored by Yoon‐Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yoon‐Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon‐Won Kim. 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 Yoon‐Won Kim. The network helps show where Yoon‐Won Kim may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Effects of 60 Hz electromagnetic field exposure on testicular germ cell apoptosis in mice.
200489
2 200858
3 200340
4 201428
5 201327
6 201622
7 201320
8 199611
9 200910
10 20219
11 20167
12 20167
13 20226
14 20176
15 20174
16
Prevalence of Leptospira interrogans in Wild Rodents in Korea
19992
17 20202
18 20141
19 20180

About Yoon‐Won Kim

Yoon‐Won Kim is a scholar working on Parasitology, Public Health, Environmental and Occupational Health, Biophysics, Epidemiology and Infectious Diseases, having authored 19 papers that have together received 349 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (5 papers), Electromagnetic Fields and Biological Effects (5 papers), Reproductive Biology and Fertility (3 papers), Leptospirosis research and findings (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Computational Drug Discovery Methods (2 papers), Sperm and Testicular Function (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Biophysics (167 citations), Parasitology (101 citations), Physiology (23 citations), Infectious Diseases (80 citations) and Public Health, Environmental and Occupational Health (112 citations). Yoon‐Won Kim has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Kyeong Cheon Jung, Sang Kon Lee, Sungman Park, Nam Kim, Hee‐Sung Kim, Jeong Wan Seo, Young Jin Kim, Jung‐Hee Lee, Bum‐Joon Kim and Won-Jong Jang. Their work appears in journals such as Bioelectromagnetics, Journal of Korean Medical Science, Molecules and Cells, Journal of Hepatology and Journal of Clinical 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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