J.S. Kuo

24 papers receiving 407 citations

Peers

J.S. Kuo
Comparison fields: 5 of 65
  • Endocrine and Autonomic Systems 189
  • Geriatrics and Gerontology 39
  • Cellular and Molecular Neuroscience 89
  • Neurology 40
  • Physiology 124
Replace Germán Calderón with:
Germán Calderón United States
Svetlana T. Mihaylova-Todorova United States
Latchezar D. Todorov United States
Aurélie Caillon Switzerland
Yoshihide Sorimachi Japan
Edith Arnold Mexico
Colette Moulin France
G. Campbell Australia
C Nakayama United States
Rachel M. Gwynne Australia
J.S. Kuo relative to Germán Calderón United States Germán Calderón's profile →
Citations per field
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Citations per year

Countries citing papers authored by J.S. Kuo

Since Specialization
Citations

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

Fields of papers citing papers by J.S. Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.S. Kuo. 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.S. Kuo. The network helps show where J.S. Kuo may publish in the future.

Co-authors

The 18 scholars most cited alongside J.S. Kuo, 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 J.S. Kuo Line = papers co-authored together J.S. Kuo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200167
2 198852
3 199340
4 199539
5 198925
6 198924
7 199723
8 198721
9 199218
10 197015
11 196514
12 199411
13 198011
14
Presence of perikarya for vasopressor actions in both the dorsal and ventrolateral regions of medulla oblongata in swine
198910
15 19909
16 19869
17 19867
18 19916
19 19884
20 19894

About J.S. Kuo

J.S. Kuo is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Physiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 25 papers that have together received 422 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (11 papers), Neuropeptides and Animal Physiology (6 papers), Heart Rate Variability and Autonomic Control (4 papers), Anesthesia and Neurotoxicity Research (3 papers), Pain Mechanisms and Treatments (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Study of Mite Species (2 papers) and Cardiac Arrhythmias and Treatments (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (189 citations), Geriatrics and Gerontology (39 citations), Cellular and Molecular Neuroscience (89 citations), Neurology (40 citations) and Physiology (124 citations). J.S. Kuo has collaborated with scholars based in Taiwan, Canada and Czechia. Frequent co-authors include C. Y. Chai, Anya Maan‐Yuh Lin, C.Y. Chai, H. M. Huang, Chun‐Kuei Su, Chyuan Haur Kao, Eminy H.Y. Lee, William C. de Groat, Samuel H.H. Chan and P.K.T. Pang. Their work appears in journals such as Brain Research, Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Atherosclerosis and American Journal of Physiology-Renal 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.

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