Won Jin Lee

223 papers receiving 5.0k citations

Peers

Won Jin Lee
Comparison fields: 5 of 197
  • Health, Toxicology and Mutagenesis 542
  • Cancer Research 476
  • Pollution 389
  • Management Information Systems 313
  • Plant Science 1.2k
Replace Maria Triassi with:
Maria Triassi Italy
Alice S. Whittemore United States
Carlos Alberto de Bragança Pereira Brazil
Qing Ye China
Mary C. White United States
H. S. Weber Germany
Xue Li China
Miquel S. Porta Spain
Michael J. Armstrong United States
Chien‐Jen Chen Taiwan
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Citations per field
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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 242 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002185
2 2017173
3 2004164
4 2004144
5 2004141
6 2005140
7 2008135
8 2007122
9 2015109
10 2013107
11 1998107
12 199390
13 201487
14 200583
15 199383
16 200282
17 200473
18 199867
19 200667
20 200767

About Won Jin Lee

Won Jin Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Plant Science, Radiological and Ultrasound Technology, Public Health, Environmental and Occupational Health and Pollution, having authored 242 papers that have together received 5.3k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (36 papers), Pesticide Exposure and Toxicity (34 papers), Radioactivity and Radon Measurements (10 papers), Occupational and environmental lung diseases (9 papers), Carcinogens and Genotoxicity Assessment (9 papers), Pesticide and Herbicide Environmental Studies (8 papers), Effects of Radiation Exposure (7 papers) and Diverse Approaches in Healthcare and Education Studies (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (542 citations), Cancer Research (476 citations), Pollution (389 citations), Management Information Systems (313 citations) and Plant Science (1.2k citations). Won Jin Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Eun Shil Cha, Daesoo Kim, Michael C.R. Alavanja, Mustafa Dosemeci, Dale P. Sandler, Shu‐Sen Chang, Jane A. Hoppin, Aaron Blair, Jennifer A. Rusiecki and Jae-Young Kim. Their work appears in journals such as Occupational and Environmental Medicine, International Journal of Cancer, Radiation Protection Dosimetry, Journal of Korean Medical Science 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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