Chung‐Kil Won

1.3k citations
68 papers · 1.1k · h-index 20

Impact in

Papers in

Chung‐Kil Won

65 papers receiving 1.1k citations

Peers

Chung‐Kil Won
Comparison fields: 5 of 101
  • Biochemistry 120
  • Developmental Neuroscience 78
  • Neurology 119
  • Biological Psychiatry 27
  • Cellular and Molecular Neuroscience 181
Replace Man-Shan Yu with:
Man-Shan Yu Hong Kong
Marta Salinas Spain
Fahad Ali India
Wycliffe O. Opii United States
Sung‐Oh Huh South Korea
Consuelo Santa‐María Spain
Mitsunari Nakajima Japan
Glória Queiróz Portugal
Agrippino Ravagna Italy
Chung‐Kil Won relative to Man-Shan Yu Hong Kong Man-Shan Yu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chung‐Kil Won

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Kil Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Kil Won. 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 Chung‐Kil Won. The network helps show where Chung‐Kil Won may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012105
2 201370
3 201457
4 200056
5 200849
6 200648
7 202238
8 201732
9 200929
10 200629
11 201228
12 200526
13 201426
14 199724
15 201424
16 200722
17 202321
18 201720
19 202120
20 201419

About Chung‐Kil Won

Chung‐Kil Won is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Pharmacology and Neurology, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Nuclear Receptors and Signaling (6 papers), Flavonoids in Medical Research (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Natural product bioactivities and synthesis (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). The work is most often cited by research in Biochemistry (120 citations), Developmental Neuroscience (78 citations), Neurology (119 citations), Biological Psychiatry (27 citations) and Cellular and Molecular Neuroscience (181 citations). Chung‐Kil Won has collaborated with scholars based in South Korea, United States and Hungary. Frequent co-authors include Phil‐Ok Koh, Jae‐Hyeon Cho, Gon Sup Kim, Young S. Oh, Myeong Ok Kim, Kwang‐Il Park, Hyoung Joon Park, Yeoung‐Gyu Ko, Arulkumar Nagappan and Gon-Sup Kim. Their work appears in journals such as Neuroreport, Nutrients, International Journal of Molecular Sciences, Molecules and Journal of Veterinary Science.

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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