Yoon Sin Oh
Impact in
-
- Natural Antidiabetic Agents Studies
- Growth Hormone and Insulin-like Growth Factors
- Diet, Metabolism, and Disease
- Aging top 5%
Papers in
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- Natural Antidiabetic Agents Studies 6
- Diet, Metabolism, and Disease 5
- Cell Biology 12
- Caveolin-1 and cellular processes 7
- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Hee‐Sook JunEun‐Young ParkGong Deuk BaeDong Jae BaekSangwon RyuEunhui SeoDonghee KimSang Chul Park
- Journals
- Molecules (6 papers)Nutrients (4 papers)International Journal of Molecular Sciences (4 papers)Evidence-based Complementary and Alternative Medicine (3 papers)PLoS ONE (3 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Yoon Sin Oh
74 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 113
- Endocrinology, Diabetes and Metabolism 489
- Aging 40
- Cell Biology 267
- Physiology 380
- Molecular Biology 972
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 10 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2017 | 7 | |
| 16 | 2017 | 54 | |
| 17 | 2015 | 7 | |
| 18 | 2011 | 51 | |
| 19 | 2011 | 38 | |
| 20 | 2008 | 63 |
About Yoon Sin Oh
Yoon Sin Oh is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Nephrology, Molecular Biology and Neurology, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Sphingolipid Metabolism and Signaling (13 papers), Metabolism, Diabetes, and Cancer (11 papers), Caveolin-1 and cellular processes (7 papers), Natural Antidiabetic Agents Studies (6 papers), Lipid metabolism and disorders (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (489 citations), Aging (40 citations), Cell Biology (267 citations), Physiology (380 citations) and Molecular Biology (972 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, Eunhui Seo, Donghee Kim, Sang Chul Park, Sung Jin Ryu and Kyung A Cho. Their work appears in journals such as Molecules, Nutrients, International Journal of Molecular Sciences, Evidence-based Complementary and Alternative Medicine 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.