Sung‐Jun Han
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
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- Receptor Mechanisms and Signaling 9
- Lipid Membrane Structure and Behavior 2
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- Neuropeptides and Animal Physiology 8
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Jürgen Wess (11 shared papers)Jian Hua Li (5 shared papers)Fadi F. Hamdan (7 shared papers)Dinesh Gautam (6 shared papers)Yinghong Cui (6 shared papers)Chu‐Xia Deng (4 shared papers)Kenneth A. Jacobson (5 shared papers)Jongrye Jeon (3 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Cell Metabolism (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Diabetes (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Sung‐Jun Han
13 papers receiving 617 citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 227
- Endocrine and Autonomic Systems 56
- Endocrinology, Diabetes and Metabolism 118
- Molecular Biology 396
- Physiology 19
Countries citing papers authored by Sung‐Jun Han
This map shows the geographic impact of Sung‐Jun Han'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 Sung‐Jun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Jun Han more than expected).
Fields of papers citing papers by Sung‐Jun Han
This network shows the impact of papers produced by Sung‐Jun Han. 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 Sung‐Jun Han. The network helps show where Sung‐Jun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung‐Jun Han, 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 | 2006 | 224 | |
| 2 | 2008 | 60 | |
| 3 | 2005 | 46 | |
| 4 | 2009 | 43 | |
| 5 | 2008 | 42 | |
| 6 | 2005 | 40 | |
| 7 | 2007 | 38 | |
| 8 | 2012 | 31 | |
| 9 | 2009 | 30 | |
| 10 | 2005 | 28 | |
| 11 | 2006 | 25 | |
| 12 | 2008 | 18 | |
| 13 | 2023 | 1 |
About Sung‐Jun Han
Sung‐Jun Han is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 626 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (8 papers), Neuroscience and Neuropharmacology Research (3 papers), Pancreatic function and diabetes (2 papers), Lipid Membrane Structure and Behavior (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Pituitary Gland Disorders and Treatments (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (227 citations), Endocrine and Autonomic Systems (56 citations), Endocrinology, Diabetes and Metabolism (118 citations), Molecular Biology (396 citations) and Physiology (19 citations). Sung‐Jun Han has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Jürgen Wess, Jian Hua Li, Fadi F. Hamdan, Dinesh Gautam, Yinghong Cui, Chu‐Xia Deng, Kenneth A. Jacobson, Jongrye Jeon, Huiyan Lü and Thomas S. Heard. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Journal of Pharmacology and Experimental Therapeutics, Diabetes and Bioorganic & Medicinal Chemistry Letters.
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.