Sukwon Lee

40 papers receiving 924 citations

Peers

Sukwon Lee
Comparison fields: 5 of 91
  • Behavioral Neuroscience 207
  • Cellular and Molecular Neuroscience 623
  • Cognitive Neuroscience 564
  • Biological Psychiatry 40
  • Neurology 124
Replace Marieke R. Gilmartin with:
Marieke R. Gilmartin United States
Conor D. Cox United States
Lisa K. Marriott United States
Douglas B. Matthews United States
Melissa Malvaez United States
Matthias Lorez Switzerland
Stephanie A. Maddox United States
Akane Sano Japan
Sanya Fanous United States
Samara Miller United States
Sukwon Lee relative to Marieke R. Gilmartin United States Marieke R. Gilmartin's profile →
Citations per field
00.5×1.6×
Marieke R. Gilmartin · 1×
Citations per year

Countries citing papers authored by Sukwon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sukwon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007212
2 2013125
3 200767
4 200967
5 201758
6 200144
7 201338
8 200735
9 201135
10 201334
11 201123
12 202315
13 201515
14 201314
15 201612
16 200912
17 202011
18 201911
19 201110
20 201210

About Sukwon Lee

Sukwon Lee is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Behavioral Neuroscience and Molecular Biology, having authored 41 papers that have together received 934 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (22 papers), Memory and Neural Mechanisms (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Stress Responses and Cortisol (6 papers), Neuroendocrine regulation and behavior (4 papers), Alzheimer's disease research and treatments (2 papers), Fiscal Policy and Economic Growth (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). The work is most often cited by research in Behavioral Neuroscience (207 citations), Cellular and Molecular Neuroscience (623 citations), Cognitive Neuroscience (564 citations), Biological Psychiatry (40 citations) and Neurology (124 citations). Sukwon Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Sukwoo Choi, Jeongyeon Kim, Ingie Hong, Beomjong Song, Jihye Kim, Kyungjoon Park, Ki Soon Shin, Gi Hoon Son, Kyungjin Kim and Bobae An. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Reports, PLoS ONE, Proceedings of the National Academy of Sciences and Sustainability.

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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