J.K. Chang
Impact in
-
- Regulation of Appetite and Obesity
- Circadian rhythm and melatonin
-
- Neuropeptides and Animal Physiology
Papers in
-
- Neuropeptides and Animal Physiology 11
-
- Receptor Mechanisms and Signaling 11
- 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)Jin Jun Luo (2 shared papers)Rong‐Ming Lyu (2 shared papers)Jun Yang (6 shared papers)Anthony K. Killian (1 shared paper)
- Journals
- Life Sciences (5 papers)Neuroscience (3 papers)Journal of Applied Physiology (2 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Peptides (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
J.K. Chang
34 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Endocrine and Autonomic Systems 554
- Cellular and Molecular Neuroscience 635
- Physiology 453
- Behavioral Neuroscience 63
- Cognitive Neuroscience 288
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 196 | |
| 2 | 1999 | 156 | |
| 3 | 1983 | 131 | |
| 4 | 1999 | 112 | |
| 5 | 1984 | 96 | |
| 6 | 1994 | 91 | |
| 7 | 1982 | 90 | |
| 8 | 1999 | 78 | |
| 9 | 1995 | 73 | |
| 10 | 2000 | 72 | |
| 11 | 1980 | 68 | |
| 12 | 1998 | 66 | |
| 13 | 2013 | 64 | |
| 14 | 2001 | 58 | |
| 15 | 1996 | 49 | |
| 16 | 1992 | 48 | |
| 17 | 2000 | 42 | |
| 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, Molecular Biology, Physiology, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (11 papers), Regulation of Appetite and Obesity (7 papers), Adipose Tissue and Metabolism (5 papers), Heart Failure Treatment and Management (4 papers), Pain Mechanisms and Treatments (4 papers), Sleep and Wakefulness Research (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (554 citations), Cellular and Molecular Neuroscience (635 citations), Physiology (453 citations), Behavioral Neuroscience (63 citations) and Cognitive Neuroscience (288 citations). J.K. Chang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Nae J. Dun, S.L. Dun, E.T. Wei, Ernest H. Kwok, Jin Jun Luo, Rong‐Ming Lyu, Jun Yang, Anthony K. Killian, K J Chang and Yu‐Hsin Chen. Their work appears in journals such as Life Sciences, Neuroscience, Journal of Applied Physiology, Journal of Pharmacology and Experimental Therapeutics and Peptides.
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.