J.K. Chang
Impact in
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- Regulation of Appetite and Obesity
- Circadian rhythm and melatonin
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- Neuropeptides and Animal Physiology
Papers in
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- Neuropeptides and Animal Physiology 11
- Physiology 13
- Adipose Tissue and Metabolism 7
- Pain Mechanisms and Treatments 4
- Co-authors
- Nae J. Dun (12 shared papers)S.L. Dun (10 shared papers)E.T. Wei (4 shared papers)Ernest H. Kwok (2 shared papers)Rong‐Ming Lyu (2 shared papers)Jin Jun Luo (2 shared papers)Jun Yang (6 shared papers)Yu‐Hsin Chen (1 shared paper)
- Journals
- Life Sciences (5 papers)Neuroscience (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Peptides (2 papers)Journal of Applied Physiology (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
J.K. Chang
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 82
- Endocrine and Autonomic Systems 560
- Cellular and Molecular Neuroscience 607
- Physiology 460
- Behavioral Neuroscience 62
- Cognitive Neuroscience 276
Countries citing papers authored by J.K. Chang
This map shows the geographic impact of J.K. Chang'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 J.K. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.K. Chang more than expected).
Fields of papers citing papers by J.K. Chang
This network shows the impact of papers produced by J.K. Chang. 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 J.K. Chang. The network helps show where J.K. Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside J.K. Chang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 192 | |
| 2 | 1999 | 146 | |
| 3 | 1983 | 115 | |
| 4 | 1999 | 109 | |
| 5 | 1984 | 90 | |
| 6 | 1982 | 85 | |
| 7 | 1994 | 82 | |
| 8 | 1999 | 73 | |
| 9 | 1995 | 70 | |
| 10 | 2000 | 69 | |
| 11 | 1998 | 65 | |
| 12 | 2013 | 64 | |
| 13 | 1980 | 57 | |
| 14 | 2001 | 56 | |
| 15 | 1996 | 49 | |
| 16 | 1992 | 45 | |
| 17 | 2000 | 41 | |
| 18 | 2000 | 32 | |
| 19 | 1981 | 30 | |
| 20 | 2009 | 25 |
About J.K. Chang
J.K. Chang is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (11 papers), Adipose Tissue and Metabolism (7 papers), Regulation of Appetite and Obesity (7 papers), Heart Failure Treatment and Management (4 papers), Pain Mechanisms and Treatments (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Sleep and Wakefulness Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (560 citations), Cellular and Molecular Neuroscience (607 citations), Physiology (460 citations), Behavioral Neuroscience (62 citations) and Cognitive Neuroscience (276 citations). J.K. Chang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Nae J. Dun, S.L. Dun, E.T. Wei, Ernest H. Kwok, Rong‐Ming Lyu, Jin Jun Luo, Jun Yang, Yu‐Hsin Chen, Howard Lippton and K J Chang. Their work appears in journals such as Life Sciences, Neuroscience, Journal of Pharmacology and Experimental Therapeutics, Peptides and Journal of Applied Physiology.
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.