Jung‐Guk Kim
Impact in
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- Diabetes Treatment and Management
- Family Practice top 5%
Papers in
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- Metabolism, Diabetes, and Cancer 4
- Kruppel-like factors research 3
- Peroxisome Proliferator-Activated Receptors 3
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- Distributed systems and fault tolerance 4
- Co-authors
- Keun‐Gyu Park (28 shared papers)In‐Kyu Lee (30 shared papers)Yeon‐Kyung Choi (17 shared papers)Ji-Yun Jeong (5 shared papers)Mi Kyung Kim (5 shared papers)Daniel J. Drucker (2 shared papers)Laurie L. Baggio (2 shared papers)Won-Kee Lee (4 shared papers)
- Journals
- Diabetes Research and Clinical Practice (6 papers)Diabetes (4 papers)PLoS ONE (2 papers)Atherosclerosis (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jung‐Guk Kim
62 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 122
- Endocrinology, Diabetes and Metabolism 349
- Family Practice 36
- Physiology 512
- Biochemistry 119
- Cancer Research 138
Countries citing papers authored by Jung‐Guk Kim
This map shows the geographic impact of Jung‐Guk Kim'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 Jung‐Guk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung‐Guk Kim more than expected).
Fields of papers citing papers by Jung‐Guk Kim
This network shows the impact of papers produced by Jung‐Guk Kim. 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 Jung‐Guk Kim. The network helps show where Jung‐Guk Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jung‐Guk Kim, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 355 | |
| 2 | 2003 | 185 | |
| 3 | 2007 | 116 | |
| 4 | 2016 | 113 | |
| 5 | 2004 | 77 | |
| 6 | 2007 | 72 | |
| 7 | 2014 | 65 | |
| 8 | 2017 | 64 | |
| 9 | 2017 | 63 | |
| 10 | 2007 | 52 | |
| 11 | 2010 | 51 | |
| 12 | 2018 | 47 | |
| 13 | 2011 | 31 | |
| 14 | 2011 | 26 | |
| 15 | 2014 | 26 | |
| 16 | 2014 | 25 | |
| 17 | 2011 | 24 | |
| 18 | 2015 | 22 | |
| 19 | 2011 | 22 | |
| 20 | 2021 | 21 |
About Jung‐Guk Kim
Jung‐Guk Kim is a scholar working on Molecular Biology, Computer Networks and Communications, Hardware and Architecture, Endocrinology, Diabetes and Metabolism and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (11 papers), Adipose Tissue and Metabolism (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Biochemical Acid Research Studies (4 papers), Distributed systems and fault tolerance (4 papers), Kruppel-like factors research (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (349 citations), Family Practice (36 citations), Physiology (512 citations), Biochemistry (119 citations) and Cancer Research (138 citations). Jung‐Guk Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Keun‐Gyu Park, In‐Kyu Lee, Yeon‐Kyung Choi, Ji-Yun Jeong, Mi Kyung Kim, Daniel J. Drucker, Laurie L. Baggio, Won-Kee Lee, Hyun-Ae Seo and Kwi Hyun Bae. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetes, PLoS ONE, Atherosclerosis and Biochemical and Biophysical Research Communications.
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.