Jaw-Kang Chang

745 total citations
9 papers, 623 citations indexed

About

Jaw-Kang Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Jaw-Kang Chang has authored 9 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in Jaw-Kang Chang's work include Neuropeptides and Animal Physiology (4 papers), Receptor Mechanisms and Signaling (4 papers) and Sleep and Wakefulness Research (3 papers). Jaw-Kang Chang is often cited by papers focused on Neuropeptides and Animal Physiology (4 papers), Receptor Mechanisms and Signaling (4 papers) and Sleep and Wakefulness Research (3 papers). Jaw-Kang Chang collaborates with scholars based in United States and China. Jaw-Kang Chang's co-authors include Chiung-Tong Chen, Nae J. Dun, Blake A. Gosnell, Willis K. Samson, Zachary T. Resch, Tonya C. Murphy, Ling-Ling Hwang, Ernest H. Kwok, Siok L. Dun and Howard Lippton and has published in prestigious journals such as Brain Research, Biochemical and Biophysical Research Communications and Life Sciences.

In The Last Decade

Jaw-Kang Chang

9 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaw-Kang Chang United States 8 476 460 342 96 95 9 623
SR Bloom United Kingdom 5 281 0.6× 405 0.9× 140 0.4× 113 1.2× 69 0.7× 6 537
Stephen N. Brooks United States 8 423 0.9× 309 0.7× 358 1.0× 30 0.3× 56 0.6× 14 589
Andrea Haynes United Kingdom 11 611 1.3× 740 1.6× 371 1.1× 85 0.9× 90 0.9× 13 933
Zara de Saint Hilaire France 10 228 0.5× 157 0.3× 171 0.5× 97 1.0× 45 0.5× 16 395
Géraldine M. Mang Switzerland 8 290 0.6× 249 0.5× 163 0.5× 73 0.8× 46 0.5× 11 431
George Voren United States 5 170 0.4× 172 0.4× 84 0.2× 99 1.0× 69 0.7× 9 319
T. Schier Germany 9 177 0.4× 187 0.4× 117 0.3× 45 0.5× 28 0.3× 13 344
Philip T. Davey United Kingdom 6 211 0.4× 192 0.4× 122 0.4× 63 0.7× 34 0.4× 9 435
Motoki Kuramochi Japan 6 152 0.3× 343 0.7× 71 0.2× 73 0.8× 22 0.2× 8 393
Stefan Mathias Germany 9 239 0.5× 115 0.3× 155 0.5× 107 1.1× 26 0.3× 9 317

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-authorship network of co-authors of Jaw-Kang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jaw-Kang Chang. A scholar is included among the top collaborators of Jaw-Kang 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 Jaw-Kang Chang. Jaw-Kang Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Sun, Rui-Qing, Chengshui Zhao, Jing Zheng, et al.. (2001). Nocistatin, a peptide reversing acute and chronic morphine tolerance. Neuroreport. 12(8). 1789–1792. 8 indexed citations
2.
Sun, Rui-Qing, Yun Wang, Chengshui Zhao, Jaw-Kang Chang, & Ji-Sheng Han. (2001). Changes in brain content of nociceptin/orphanin FQ and endomorphin 2 in a rat model of neuropathic pain. Neuroscience Letters. 311(1). 13–16. 27 indexed citations
3.
Dun, Nae J., et al.. (2000). Orexins: a role in medullary sympathetic outflow. Regulatory Peptides. 96(1-2). 65–70. 78 indexed citations
4.
Chen, Chiung-Tong, Ling-Ling Hwang, Jaw-Kang Chang, & Nae J. Dun. (2000). Pressor effects of orexins injected intracisternally and to rostral ventrolateral medulla of anesthetized rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 278(3). R692–R697. 175 indexed citations
5.
Samson, Willis K., Blake A. Gosnell, Jaw-Kang Chang, Zachary T. Resch, & Tonya C. Murphy. (1999). Cardiovascular regulatory actions of the hypocretins in brain. Brain Research. 831(1-2). 248–253. 250 indexed citations
6.
Lin, Bin, et al.. (1994). An adrenomedullin fragment retains the systemic vasodepressor activity of rat adrenomedullin. European Journal of Pharmacology. 260(1). 1–4. 18 indexed citations
7.
Chang, Jaw-Kang, et al.. (1994). An adrenomedullin (ADM) fragment retains the systematic vasodilator activity of human ADM. Life Sciences. 54(16). PL265–PL270. 34 indexed citations
8.
Madsen, Berit, et al.. (1989). Development of more potent atrial natriuretic factor (ANF) analogs. European Journal of Pharmacology. 160(1). 141–148. 2 indexed citations
9.
Folkers, Karl, et al.. (1970). Synthesis and relationship of L-glutaminyl-L-histidyl-L-prolinamide to the thyrotropin releasing hormone. Biochemical and Biophysical Research Communications. 39(1). 110–113. 31 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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