Eunjin Oh
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Adipose Tissue and Metabolism
- Erythrocyte Function and Pathophysiology
Papers in
- Surgery 30
- Pancreatic function and diabetes 28
-
- Metabolism, Diabetes, and Cancer 16
- Co-authors
- Debbie C. Thurmond (39 shared papers)Jenna L. Jewell (4 shared papers)Zhanxiang Wang (3 shared papers)Latha Ramalingam (6 shared papers)Michael A. Kalwat (4 shared papers)Zhanxiang Wang (2 shared papers)Miwon Ahn (13 shared papers)Jonathan Chernoff (1 shared paper)
- Journals
- Diabetes (9 papers)Journal of Biological Chemistry (9 papers)Diabetologia (3 papers)International Journal of Molecular Sciences (3 papers)Frontiers in Endocrinology (3 papers)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Eunjin Oh
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Cell Biology 583
- Physiology 136
- Surgery 683
- Molecular Biology 864
- Endocrinology, Diabetes and Metabolism 165
Countries citing papers authored by Eunjin Oh
This map shows the geographic impact of Eunjin 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 Eunjin Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunjin Oh more than expected).
Fields of papers citing papers by Eunjin Oh
This network shows the impact of papers produced by Eunjin 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 Eunjin Oh. The network helps show where Eunjin Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunjin 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 130 | |
| 2 | 2011 | 113 | |
| 3 | 2010 | 96 | |
| 4 | 2008 | 93 | |
| 5 | 2005 | 71 | |
| 6 | 2011 | 59 | |
| 7 | 2012 | 59 | |
| 8 | 2007 | 55 | |
| 9 | 2009 | 47 | |
| 10 | 2000 | 46 | |
| 11 | 2008 | 45 | |
| 12 | 2012 | 41 | |
| 13 | 2006 | 41 | |
| 14 | 2011 | 37 | |
| 15 | 2014 | 36 | |
| 16 | 2016 | 35 | |
| 17 | 2024 | 30 | |
| 18 | 2001 | 27 | |
| 19 | 2007 | 27 | |
| 20 | 2020 | 26 |
About Eunjin Oh
Eunjin Oh is a scholar working on Surgery, Molecular Biology, Cell Biology, Physiology and Genetics, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (28 papers), Metabolism, Diabetes, and Cancer (16 papers), Cellular transport and secretion (14 papers), Diabetes and associated disorders (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Calcium signaling and nucleotide metabolism (6 papers), Adipose Tissue and Metabolism (5 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Cell Biology (583 citations), Physiology (136 citations), Surgery (683 citations), Molecular Biology (864 citations) and Endocrinology, Diabetes and Metabolism (165 citations). Eunjin Oh has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Debbie C. Thurmond, Jenna L. Jewell, Zhanxiang Wang, Latha Ramalingam, Michael A. Kalwat, Zhanxiang Wang, Miwon Ahn, Jonathan Chernoff, D. Wade Clapp and Wei Luo. Their work appears in journals such as Diabetes, Journal of Biological Chemistry, Diabetologia, International Journal of Molecular Sciences and Frontiers in Endocrinology.
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.