Yu‐Jin Won

487 citations
16 papers · 384 · h-index 12

Impact in

Papers in

Yu‐Jin Won

16 papers receiving 380 citations

Peers

Yu‐Jin Won
Comparison fields: 5 of 67
  • Biological Psychiatry 12
  • Physiology 124
  • Cellular and Molecular Neuroscience 89
  • Reproductive Medicine 26
  • Endocrinology, Diabetes and Metabolism 45
Replace Sha Liu with:
Sha Liu China
Yuki Higuchi Japan
Béatrice Guardiola France
Germán Domínguez-Vías Spain
Salim A. Kanaan Lebanon
K. Miyasaka Japan
Antonio J. López-Gambero Spain
Emanuela Talamonti Italy
Sutthasinee Poonyachoti Thailand
Ching‐Tien Lee Taiwan
Yu‐Jin Won relative to Sha Liu China Sha Liu's profile →
Citations per field
00.5×1.5×2.3×
Sha Liu · 1×
Citations per year

Countries citing papers authored by Yu‐Jin Won

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Jin Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2013122
2 201542
3 200924
4 201524
5 201423
6 201523
7 200919
8 201018
9 201515
10 200614
11 201213
12 201112
13 201411
14 201511
15 200410
16 20093

About Yu‐Jin Won

Yu‐Jin Won is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 384 indexed citations. Recurring topics across this work include Ion channel regulation and function (4 papers), Neuroscience and Neural Engineering (3 papers), Ginseng Biological Effects and Applications (3 papers), Ovarian function and disorders (2 papers), Sperm and Testicular Function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pain Mechanisms and Treatments (2 papers) and Ion Channels and Receptors (2 papers). The work is most often cited by research in Biological Psychiatry (12 citations), Physiology (124 citations), Cellular and Molecular Neuroscience (89 citations), Reproductive Medicine (26 citations) and Endocrinology, Diabetes and Metabolism (45 citations). Yu‐Jin Won has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Stephen R. Ikeda, Henry L. Puhl, Van B. Lu, Seock‐Yeon Hwang, Fumihito Ono, Si‐Kwan Kim, Kyu-Min Cha, Spandana Rajendra Kopalli, Chang-Kyun Han and Seong‐Woo Jeong. Their work appears in journals such as Experimental Gerontology, Journal of Neuroscience, PLoS ONE, Journal of Visualized Experiments and Scientific Reports.

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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