Kye Won Park

130 papers receiving 4.1k citations

Peers

Kye Won Park
Comparison fields: 5 of 139
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 181
  • Molecular Biology 2.4k
  • Cell Biology 527
  • Biochemistry 176
Replace Keith R. Martin with:
Keith R. Martin United Kingdom
Do Sik Min South Korea
Mariarosa Anna Beatrice Melone Italy
Yaping Wang China
Gregory J. Dusting Australia
Wei‐Chien Huang Taiwan
Lina Wang China
Hongyu Zhang China
Xiao Han China
Brij B. Singh United States
Kye Won Park relative to Keith R. Martin United Kingdom Keith R. Martin's profile →
Citations per field
00.5×1.7×
Keith R. Martin · 1×
Citations per year

Countries citing papers authored by Kye Won Park

Since Specialization
Citations

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

Fields of papers citing papers by Kye Won Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008300
2 2006281
3 2004270
4 2003255
5 2007168
6 2005165
7 2008121
8 200896
9 201381
10 200978
11 201877
12 200572
13 199972
14 201365
15 201764
16 201161
17 200360
18 202058
19 201257
20 200857

About Kye Won Park

Kye Won Park is a scholar working on Molecular Biology, Physiology, Epidemiology, Cellular and Molecular Neuroscience and Safety, Risk, Reliability and Quality, having authored 143 papers that have together received 4.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (21 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers), Fire dynamics and safety research (11 papers), Axon Guidance and Neuronal Signaling (8 papers), Phytochemicals and Antioxidant Activities (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Angiogenesis and VEGF in Cancer (6 papers) and Sirtuins and Resveratrol in Medicine (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (181 citations), Molecular Biology (2.4k citations), Cell Biology (527 citations) and Biochemistry (176 citations). Kye Won Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dean Y. Li, Peter Tontonoz, Lise K. Sorensen, Chi‐Bin Chien, No‐Joon Song, Joung‐Woo Hong, Lisa D. Urness, Christopher A. Jones, Hironori Waki and Ui Jeong Yun. Their work appears in journals such as BMB Reports, Scientific Reports, Nutrients, Biochemical and Biophysical Research Communications and Proceedings of the National Academy of Sciences.

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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