Won Hee Lee

9.4k citations
144 papers · 4.6k · h-index 35

Impact in

Papers in

    • Pluripotent Stem Cells Research 8
    • Transcranial Magnetic Stimulation Studies 17
    • Neuroinflammation and Neurodegeneration Mechanisms 9

Won Hee Lee

137 papers receiving 4.5k citations

Peers

Won Hee Lee
Comparison fields: 5 of 179
  • Neurology 522
  • Nutrition and Dietetics 468
  • Cancer Research 425
  • Developmental Neuroscience 103
  • Cognitive Neuroscience 476
Replace Min Goo Lee with:
Min Goo Lee South Korea
Kenji Sunagawa Japan
Kenji Kondo Japan
Caroline Hayward United Kingdom
Mark S. Brown United States
Masaaki Arakawa Japan
Fulvio Magni Italy
Pankaj J. Pasricha United States
David Mary United Kingdom
Wei Zhang China
Won Hee Lee relative to Min Goo Lee South Korea Min Goo Lee's profile →
Citations per field
00.5×1.6×
Min Goo Lee · 1×
Citations per year

Countries citing papers authored by Won Hee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003454
2 2003431
3 2004407
4 2014183
5 2010160
6 2014137
7 2019108
8 2018100
9 201392
10 200885
11 201784
12 201183
13 201280
14 201575
15 201274
16 201971
17 201266
18 201865
19 201260
20 201659

About Won Hee Lee

Won Hee Lee is a scholar working on Molecular Biology, Neurology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health, having authored 144 papers that have together received 4.6k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (17 papers), Functional Brain Connectivity Studies (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Advanced MRI Techniques and Applications (8 papers), Pluripotent Stem Cells Research (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers), 3D Surveying and Cultural Heritage (6 papers) and Electroconvulsive Therapy Studies (6 papers). The work is most often cited by research in Neurology (522 citations), Nutrition and Dietetics (468 citations), Cancer Research (425 citations), Developmental Neuroscience (103 citations) and Cognitive Neuroscience (476 citations). Won Hee Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Daniel Hwang, Joo Young Lee, Sophia Frangou, Hyung S. Youn, Ling Zhao, Yong Woo Lee, Joseph C. Wu, William E. Sonntag, Sang‐Ging Ong and Prithiva Chanmugam. Their work appears in journals such as The FASEB Journal, IEEE Electron Device Letters, Circulation, NeuroImage and Stem Cell Reports.

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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