Won Jin Lee

214 papers receiving 4.7k citations

Peers

Won Jin Lee
Comparison fields: 5 of 197
  • Health, Toxicology and Mutagenesis 509
  • Management Information Systems 303
  • Cancer Research 432
  • Radiological and Ultrasound Technology 145
  • Plant Science 1.1k
Replace Maria Triassi with:
Maria Triassi Italy
Alice S. Whittemore United States
Qing Ye China
Carlos Alberto de Bragança Pereira Brazil
Mary C. White United States
Xue Li China
Michael J. Armstrong United States
H. Wéber Germany
James A. Scott Canada
Chien‐Jen Chen Taiwan
Won Jin Lee relative to Maria Triassi Italy Maria Triassi's profile →
Citations per field
00.5×5.6×
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Citations per year

Countries citing papers authored by Won Jin Lee

Since Specialization
Citations

This map shows the geographic impact of Won Jin 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 Jin 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 Jin Lee more than expected).

Fields of papers citing papers by Won Jin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 236 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002186
2 2017156
3 2004145
4 2005131
5 2004130
6 2004130
7 2008125
8 2007109
9 1998104
10 2013103
11 2015102
12 199385
13 201481
14 199379
15 200278
16 200573
17 199868
18 200765
19 200662
20 200461

About Won Jin Lee

Won Jin Lee is a scholar working on Plant Science, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Molecular Biology and Electrical and Electronic Engineering, having authored 236 papers that have together received 5.0k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (35 papers), Pesticide Exposure and Toxicity (35 papers), Occupational and environmental lung diseases (10 papers), Radioactivity and Radon Measurements (9 papers), Carcinogens and Genotoxicity Assessment (9 papers), Pesticide and Herbicide Environmental Studies (8 papers), Diverse Approaches in Healthcare and Education Studies (7 papers) and Education and Learning Interventions (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (509 citations), Management Information Systems (303 citations), Cancer Research (432 citations), Radiological and Ultrasound Technology (145 citations) and Plant Science (1.1k citations). Won Jin Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Eun Shil, Daesoo Kim, Michael C.R. Alavanja, Mustafa Dosemeci, Shu‐Sen Chang, Dale P. Sandler, Jane A. Hoppin, Aaron Blair, Jae-Young Kim and Jennifer A. Rusiecki. Their work appears in journals such as Occupational and Environmental Medicine, Journal of Korean Medical Science, International Journal of Cancer, Radiation Protection Dosimetry and International Journal of Environmental Research and Public Health.

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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