So-Yoon Won

1.8k citations
33 papers · 1.3k · h-index 21

Impact in

Papers in

So-Yoon Won

33 papers receiving 1.3k citations

Peers

So-Yoon Won
Comparison fields: 5 of 96
  • Neurology 286
  • Biological Psychiatry 45
  • Neurology 258
  • Cellular and Molecular Neuroscience 294
  • Pharmacology 179
Replace Eugene Bok with:
Eugene Bok South Korea
Luigi Formisano Italy
Marina Benarese Italy
Yan Zheng China
Rui‐Ping Pang China
Sakura Minami United States
Paige E. Cramer United States
Sudhakar Subramaniam United States
Cristina Malagelada Spain
Henryk Jęśko Poland
So-Yoon Won relative to Eugene Bok South Korea Eugene Bok's profile →
Citations per field
00.5×1.5×1.8×
Eugene Bok · 1×
Citations per year

Countries citing papers authored by So-Yoon Won

Since Specialization
Citations

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

Fields of papers citing papers by So-Yoon Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by So-Yoon 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 So-Yoon Won. The network helps show where So-Yoon Won may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018167
2 2011114
3 2017101
4 2016101
5 201698
6 201490
7 201964
8 202060
9 202155
10 201550
11 202147
12 201944
13 200940
14 201838
15 202032
16 200730
17 201723
18 201323
19 201622
20 201721

About So-Yoon Won

So-Yoon Won is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Neurology and Physiology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Nerve injury and regeneration (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Retinal Development and Disorders (4 papers), Alzheimer's disease research and treatments (3 papers), Nuclear Receptors and Signaling (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Neurology (286 citations), Biological Psychiatry (45 citations), Neurology (258 citations), Cellular and Molecular Neuroscience (294 citations) and Pharmacology (179 citations). So-Yoon Won has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Sang Ryong Kim, Byung Kwan Jin, Eugene Bok, Young Cheul Chung, Won-Ho Shin, Jeong Yeob Baek, Eung‐Gook Kim, Eun‐Young Shin, Kyoung Sang Cho and Min‐Tae Jeon. Their work appears in journals such as International Journal of Molecular Sciences, Experimental Neurobiology, Experimental & Molecular Medicine, Journal of Neuroimmunology and PLoS ONE.

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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