Won Gu Jang
Impact in
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- Diabetes Treatment and Management
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- Metabolism, Diabetes, and Cancer
- Bone Metabolism and Diseases
- Peroxisome Proliferator-Activated Receptors
Papers in
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- Metabolism, Diabetes, and Cancer 4
- Bone Metabolism and Diseases 2
- Surgery 3
- Pancreatic function and diabetes 2
- Co-authors
- Yong Deuk Kim (3 shared papers)Chul‐Ho Lee (2 shared papers)Don‐Kyu Kim (2 shared papers)Keun‐Gyu Park (5 shared papers)In‐Kyu Lee (5 shared papers)Hueng-Sik Choi (2 shared papers)Eun‐Jung Kim (2 shared papers)Yun‐Yong Park (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Antioxidants and Redox Signaling (2 papers)Pharmacology (1 paper)BMB Reports (1 paper)Diabetes (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Won Gu Jang
12 papers receiving 792 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 173
- Molecular Biology 524
- Cancer Research 100
- Orthopedics and Sports Medicine 56
- Aging 11
Countries citing papers authored by Won Gu Jang
This map shows the geographic impact of Won Gu Jang'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 Won Gu Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Gu Jang more than expected).
Fields of papers citing papers by Won Gu Jang
This network shows the impact of papers produced by Won Gu Jang. 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 Won Gu Jang. The network helps show where Won Gu Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Won Gu Jang, 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 | 2007 | 358 | |
| 2 | 2010 | 161 | |
| 3 | 2007 | 116 | |
| 4 | 2010 | 82 | |
| 5 | 2011 | 26 | |
| 6 | 2006 | 21 | |
| 7 | 2004 | 21 | |
| 8 | 1999 | 10 | |
| 9 | 2010 | 9 | |
| 10 | 2011 | 3 | |
| 11 | 2010 | 2 | |
| 12 | 2006 | 1 |
About Won Gu Jang
Won Gu Jang is a scholar working on Molecular Biology, Surgery, Physiology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 12 papers that have together received 810 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (3 papers), Pancreatic function and diabetes (2 papers), Bone Metabolism and Diseases (2 papers), Biochemical Acid Research Studies (2 papers), Macrophage Migration Inhibitory Factor (2 papers), Polymer Surface Interaction Studies (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (173 citations), Molecular Biology (524 citations), Cancer Research (100 citations), Orthopedics and Sports Medicine (56 citations) and Aging (11 citations). Won Gu Jang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Yong Deuk Kim, Chul‐Ho Lee, Don‐Kyu Kim, Keun‐Gyu Park, In‐Kyu Lee, Hueng-Sik Choi, Eun‐Jung Kim, Yun‐Yong Park, Balachandar Nedumaran and Yong‐Soo Lee. Their work appears in journals such as Biochemical and Biophysical Research Communications, Antioxidants and Redox Signaling, Pharmacology, BMB Reports and Diabetes.
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.