Yoon Sin Oh
Impact in
-
- Natural Antidiabetic Agents Studies
- Growth Hormone and Insulin-like Growth Factors
- Diabetes Treatment and Management
- Aging top 5%
Papers in
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- Sphingolipid Metabolism and Signaling 13
- Metabolism, Diabetes, and Cancer 7
- Surgery 13
- Pancreatic function and diabetes 13
- Co-authors
- Hee‐Sook Jun (32 shared papers)Eun‐Young Park (27 shared papers)Gong Deuk Bae (8 shared papers)Dong Jae Baek (18 shared papers)Sangwon Ryu (4 shared papers)Donghee Kim (5 shared papers)Eunhui Seo (6 shared papers)Sang Chul Park (5 shared papers)
- Journals
- Molecules (6 papers)International Journal of Molecular Sciences (4 papers)Nutrients (4 papers)PLoS ONE (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Yoon Sin Oh
75 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 445
- Aging 39
- Cell Biology 255
- Physiology 352
- Molecular Biology 897
Countries citing papers authored by Yoon Sin Oh
This map shows the geographic impact of Yoon Sin Oh'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 Yoon Sin Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoon Sin Oh more than expected).
Fields of papers citing papers by Yoon Sin Oh
This network shows the impact of papers produced by Yoon Sin Oh. 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 Yoon Sin Oh. The network helps show where Yoon Sin Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoon Sin Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 228 | |
| 2 | 2004 | 178 | |
| 3 | 2017 | 165 | |
| 4 | 2015 | 85 | |
| 5 | 2007 | 82 | |
| 6 | 1994 | 76 | |
| 7 | 2008 | 64 | |
| 8 | 2014 | 58 | |
| 9 | 2017 | 54 | |
| 10 | 2019 | 51 | |
| 11 | 2011 | 51 | |
| 12 | 2019 | 45 | |
| 13 | 2016 | 43 | |
| 14 | 2017 | 39 | |
| 15 | 2011 | 38 | |
| 16 | 2008 | 37 | |
| 17 | 1992 | 37 | |
| 18 | 2015 | 36 | |
| 19 | 2001 | 35 | |
| 20 | 2013 | 33 |
About Yoon Sin Oh
Yoon Sin Oh is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cell Biology and Immunology, having authored 79 papers that have together received 2.1k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (13 papers), Pancreatic function and diabetes (13 papers), Metabolism, Diabetes, and Cancer (7 papers), Caveolin-1 and cellular processes (7 papers), Adipose Tissue and Metabolism (5 papers), Lipid metabolism and disorders (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Carbohydrate Chemistry and Synthesis (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (445 citations), Aging (39 citations), Cell Biology (255 citations), Physiology (352 citations) and Molecular Biology (897 citations). Yoon Sin Oh has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hee‐Sook Jun, Eun‐Young Park, Gong Deuk Bae, Dong Jae Baek, Sangwon Ryu, Donghee Kim, Eunhui Seo, Sang Chul Park, Sung Jin Ryu and Kyung A Cho. Their work appears in journals such as Molecules, International Journal of Molecular Sciences, Nutrients, PLoS ONE and Evidence-based Complementary and Alternative Medicine.
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.