So-Yoon Won

1.8k citations
34 papers · 1.2k indexed · h-index 20

Impact in

Papers in

So-Yoon Won

33 papers receiving 1.2k citations

Peers

So-Yoon Won
Comparison fields: 5 of 97
  • Neurology 296
  • Biological Psychiatry 49
  • Neurology 264
  • Cellular and Molecular Neuroscience 309
  • Developmental Neuroscience 45
Replace Yanrong Zheng with:
Yanrong Zheng China
Eugene Bok South Korea
Yan Zheng China
Marina Benarese Italy
Cristina Malagelada Spain
Luigi Formisano Italy
Chun‐Yi Jiang China
Rosa de Hoz Spain
Xiangyu Zheng China
So-Yoon Won relative to Yanrong Zheng China Yanrong Zheng's profile →
Citations per field
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Yanrong Zheng · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018157
2 2011111
3 201696
4 201696
5 201789
6 201478
7 201965
8 202058
9 201549
10 202147
11 201944
12 202140
13 200940
14 201836
15 200729
16 202029
17 201722
18 201322
19 201622
20 201721

About So-Yoon Won

So-Yoon Won is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Neurology and Physiology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Neuroscience and Neuropharmacology Research (7 papers), Nerve injury and regeneration (6 papers), Retinal Development and Disorders (4 papers), Alzheimer's disease research and treatments (3 papers), Neurological disorders and treatments (3 papers) and Nuclear Receptors and Signaling (3 papers). The work is most often cited by research in Neurology (296 citations), Biological Psychiatry (49 citations), Neurology (264 citations), Cellular and Molecular Neuroscience (309 citations) and Developmental Neuroscience (45 citations). So-Yoon Won has collaborated with scholars based in South Korea, Australia and United States. 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, Min‐Tae Jeon and Kyoung Sang Cho. Their work appears in journals such as International Journal of Molecular Sciences, Experimental Neurobiology, Experimental & Molecular Medicine, Scientific Reports and Cell Death and Disease.

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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