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 8
- 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)Yinghong Cui (6 shared papers)Dinesh Gautam (6 shared papers)Kenneth A. Jacobson (5 shared papers)Huiyan Lü (3 shared papers)Thomas S. Heard (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Molecular Neuroscience (1 paper)Diabetes (1 paper)Cell Metabolism (1 paper)Trends in Pharmacological Sciences (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Sung‐Jun Han
13 papers receiving 622 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 222
- Endocrine and Autonomic Systems 51
- Endocrinology, Diabetes and Metabolism 106
- Molecular Biology 382
- Surgery 171
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 | 228 | |
| 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, Radiology, Nuclear Medicine and Imaging, Neurology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 630 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (8 papers), Neuroscience and Neuropharmacology Research (3 papers), Vagus Nerve Stimulation Research (2 papers), Lipid Membrane Structure and Behavior (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Hypothalamic control of reproductive hormones (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (222 citations), Endocrine and Autonomic Systems (51 citations), Endocrinology, Diabetes and Metabolism (106 citations), Molecular Biology (382 citations) and Surgery (171 citations). Sung‐Jun Han has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Jürgen Wess, Jian Hua Li, Fadi F. Hamdan, Yinghong Cui, Dinesh Gautam, Kenneth A. Jacobson, Huiyan Lü, Thomas S. Heard, Jongrye Jeon and Lanh M. Bloodworth. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Neuroscience, Diabetes, Cell Metabolism and Trends in Pharmacological Sciences.
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.