Jaw‐Kang Chang

2.6k citations
44 papers · 2.2k · h-index 24

Impact in

Papers in

Jaw‐Kang Chang

44 papers receiving 2.0k citations

Peers

Jaw‐Kang Chang
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 1.5k
  • Behavioral Neuroscience 130
  • Endocrine and Autonomic Systems 238
  • Reproductive Medicine 182
  • Physiology 492
Replace J.L. Junien with:
J.L. Junien France
E. Barry Smalstig United States
Stafford McLean United States
A R Wakade United States
M. Brown United States
Abba J. Kastin United States
Alexander T. McKnight United Kingdom
C H Li United States
Elisa Giannini Italy
Angela A. Waterfield United Kingdom
Jaw‐Kang Chang relative to J.L. Junien France J.L. Junien's profile →
Citations per field
00.5×3.4×
J.L. Junien · 1×
Citations per year

Countries citing papers authored by Jaw‐Kang Chang

Since Specialization
Citations

This map shows the geographic impact of Jaw‐Kang 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 Jaw‐Kang Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaw‐Kang Chang more than expected).

Fields of papers citing papers by Jaw‐Kang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaw‐Kang 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 Jaw‐Kang Chang. The network helps show where Jaw‐Kang Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jaw‐Kang Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jaw‐Kang Chang Line = papers co-authored together Jaw‐Kang Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976400
2 1981263
3 1976184
4 2005101
5 198396
6 199690
7 198270
8 199868
9 200465
10 200564
11 200062
12 200551
13 199348
14 200547
15 200436
16 200635
17 200034
18 200434
19 199533
20 198233

About Jaw‐Kang Chang

Jaw‐Kang Chang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (19 papers), Receptor Mechanisms and Signaling (16 papers), Regulation of Appetite and Obesity (7 papers), Hypothalamic control of reproductive hormones (5 papers), Pain Mechanisms and Treatments (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Chemical Synthesis and Analysis (4 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Behavioral Neuroscience (130 citations), Endocrine and Autonomic Systems (238 citations), Reproductive Medicine (182 citations) and Physiology (492 citations). Jaw‐Kang Chang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Agu Pert, Candace B. Pert, Kwen‐Jen Chang, Eli Hazum, Pedro Cuatrecasas, Jun Yang, Jack D. Barchas, Eckard Weber, Chun‐Shui Pan and Howard Lippton. Their work appears in journals such as Peptides, Life Sciences, Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Science.

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.

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