J.K. Chang

1.9k total citations
37 papers, 1.6k citations indexed

About

J.K. Chang is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, J.K. Chang has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 13 papers in Physiology and 12 papers in Molecular Biology. Recurrent topics in J.K. Chang's work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (11 papers) and Regulation of Appetite and Obesity (7 papers). J.K. Chang is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (11 papers) and Regulation of Appetite and Obesity (7 papers). J.K. Chang collaborates with scholars based in United States, China and Singapore. J.K. Chang's 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, Albert L. Hyman and Anthony K. Killian and has published in prestigious journals such as Brain Research, FEBS Letters and Journal of Applied Physiology.

In The Last Decade

J.K. Chang

35 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J.K. Chang United States	21	607	573	560	460	276	37	1.6k
Nadav Zamir United States	23	1.2k 1.9×	825 1.4×	482 0.9×	700 1.5×	221 0.8×	41	2.4k
Mohammad Ghatei United Kingdom	19	433 0.7×	232 0.4×	539 1.0×	273 0.6×	228 0.8×	40	1.4k
Kazuhiko Shibata Japan	22	647 1.1×	430 0.8×	180 0.3×	357 0.8×	195 0.7×	82	1.5k
B Baranowska Poland	21	285 0.5×	199 0.3×	605 1.1×	426 0.9×	115 0.4×	115	1.5k
Ron P.A. Gaykema United States	14	357 0.6×	318 0.6×	289 0.5×	387 0.8×	106 0.4×	14	1.6k
Fang Yuan China	19	349 0.6×	385 0.7×	367 0.7×	280 0.6×	150 0.5×	72	1.1k
Shoichiro Nosaka Japan	22	357 0.6×	221 0.4×	714 1.3×	358 0.8×	227 0.8×	49	1.6k
Hidefumi Waki Japan	24	215 0.4×	261 0.5×	653 1.2×	438 1.0×	165 0.6×	89	1.7k
Robert A. Neff United States	18	342 0.6×	589 1.0×	539 1.0×	202 0.4×	165 0.6×	34	1.5k
Michael C. Koss United States	26	561 0.9×	621 1.1×	164 0.3×	481 1.0×	198 0.7×	115	1.9k

Countries citing papers authored by J.K. Chang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of J.K. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of J.K. Chang. A scholar is included among the top collaborators of J.K. Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.K. Chang. J.K. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Zitao, et al.. (2025). Deciphering significances of autophagy in the development and metabolism of adipose tissue. Experimental Cell Research. 446(2). 114478–114478.

Duan, Fenghai, J.K. Chang, Zitao Liu, et al.. (2024). Deciphering endocrine function of adipose tissue and its significant influences in obesity-related diseases caused by its dysfunction. Differentiation. 141. 100832–100832. 4 indexed citations

Lyu, Rong‐Ming, Xu‐Feng Huang, Ying Zhang, et al.. (2013). Phoenixin: A novel peptide in rodent sensory ganglia. Neuroscience. 250. 622–631. 64 indexed citations

Dun, S.L., Rong‐Ming Lyu, Yu‐Hsin Chen, et al.. (2013). Irisin-immunoreactivity in neural and non-neural cells of the rodent. Neuroscience. 240. 155–162. 192 indexed citations

Huang, Xiao, Jun Yang, J.K. Chang, & Nae J. Dun. (2009). Amylin suppresses acetic acid-induced visceral pain and spinal c-fos expression in the mouse. Neuroscience. 165(4). 1429–1438. 25 indexed citations

Gao, Xin, G. Cristina Brailoiu, Eugen Brailoiu, et al.. (2008). Copeptin Immunoreactivity and Calcium Mobilisation in Hypothalamic Neurones of the Rat. Journal of Neuroendocrinology. 20(11). 1242–1251. 3 indexed citations

Ng, Yen Kaow, G. Cristina Brailoiu, S.L. Dun, et al.. (2006). Beacon immunoreactivity in the rat hypothalamus. Journal of Neuroscience Research. 83(6). 1106–1117. 6 indexed citations

Dun, S.L., G. Cristina Brailoiu, Jun Yang, J.K. Chang, & Nae J. Dun. (2001). Urotensin II-immunoreactivity in the brainstem and spinal cord of the rat. Neuroscience Letters. 305(1). 9–12. 56 indexed citations

Dun, Nae J., S.L. Dun, P.Y.D. Wong, Jun Yang, & J.K. Chang. (2000). Cocaine- and Amphetamine-Regulated Transcript Peptide in the Rat Epididymis: An Immunohistochemical and Electrophysiological Study1. Biology of Reproduction. 63(5). 1518–1524. 32 indexed citations

10.

Dun, Nae J., S.L. Dun, Ernest H. Kwok, Jun Yang, & J.K. Chang. (2000). Cocaine- and amphetamine-regulated transcript-immunoreactivity in the rat sympatho-adrenal axis. Neuroscience Letters. 283(2). 97–100. 69 indexed citations

11.

Dun, S.L., Deoclécio Alves Chianca, Nae J. Dun, Jun Yang, & J.K. Chang. (2000). Differential expression of cocaine- and amphetamine-regulated transcript-immunoreactivity in the rat spinal preganglionic nuclei. Neuroscience Letters. 294(3). 143–146. 41 indexed citations

12.

Dun, S.L., et al.. (1999). Prolactin-releasing peptide-immunoreactivity in A1 and A2 noradrenergic neurons of the rat medulla. Brain Research. 822(1-2). 276–279. 109 indexed citations

13.

Dun, Nae J., et al.. (1999). Hypothalamic orexin A-immunoreactive neurons project to the rat dorsal medulla. Neuroscience Letters. 273(1). 17–20. 73 indexed citations

14.

Dun, S.L., et al.. (1999). Orexin A-like immunoreactivity in the rat brain. Neuroscience Letters. 260(3). 161–164. 146 indexed citations

15.

Samson, Willis K., et al.. (1996). A 35 amino acid fragment of leptin inhibits feeding in the rat.. Endocrinology. 137(11). 5182–5185. 49 indexed citations

16.

Tian, Qiuyue, Di Zhao, Jinhui Yang, et al.. (1995). Vasodilator effect of human adrenomedullin(13 – 52) on hypertensive rats. Canadian Journal of Physiology and Pharmacology. 73(7). 1065–1069. 17 indexed citations

17.

Wei, Yufei, et al.. (1995). Hemodynamic Effects of Centrally Administered Adrenomedullin (13–52) in Anesthetized Rats. Neurosignals. 4(6). 338–344. 4 indexed citations

18.

Chou, Jonathan, et al.. (1991). Big Endothelin in Plasma and Amniotic Fluid. Journal of Cardiovascular Pharmacology. 17. S430–433. 3 indexed citations

19.

Chang, J.K., et al.. (1986). Atrial natriuretic polypeptide-like material in rat lung. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 1 indexed citations

20.

Chang, K J, E.T. Wei, Anthony K. Killian, & J.K. Chang. (1983). Potent morphiceptin analogs: structure activity relationships and morphine-like activities.. Journal of Pharmacology and Experimental Therapeutics. 227(2). 403–408. 115 indexed citations

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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