Mei‐Chuan Ko

5.7k total citations
121 papers, 4.2k citations indexed

About

Mei‐Chuan Ko is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Mei‐Chuan Ko has authored 121 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Cellular and Molecular Neuroscience, 65 papers in Physiology and 63 papers in Molecular Biology. Recurrent topics in Mei‐Chuan Ko's work include Neuropeptides and Animal Physiology (79 papers), Pain Mechanisms and Treatments (59 papers) and Receptor Mechanisms and Signaling (47 papers). Mei‐Chuan Ko is often cited by papers focused on Neuropeptides and Animal Physiology (79 papers), Pain Mechanisms and Treatments (59 papers) and Receptor Mechanisms and Signaling (47 papers). Mei‐Chuan Ko collaborates with scholars based in United States, Japan and United Kingdom. Mei‐Chuan Ko's co-authors include James H. Woods, Norah N. Naughton, Huiping Ding, Norikazu Kiguchi, J H Woods, Devki Sukhtankar, Eduardo R. Butelman, Stephen M. Husbands, Shiroh Kishioka and John R. Traynor and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Mei‐Chuan Ko

118 papers receiving 4.1k citations

Peers

Mei‐Chuan Ko
Comparison fields: 5 of 119
  • Cellular and Molecular Neuroscience 2.5k
  • Molecular Biology 1.9k
  • Physiology 1.8k
  • Dermatology 564
  • Pharmacology 390
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Citations per field, relative to Mei‐Chuan Ko
Mei‐Chuan Ko · 1×
Citations per year, relative to Mei‐Chuan Ko
Mei‐Chuan Ko · 1×

Countries citing papers authored by Mei‐Chuan Ko

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Chuan Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Chuan Ko. 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 Mei‐Chuan Ko. The network helps show where Mei‐Chuan Ko may publish in the future.

Co-authorship network of co-authors of Mei‐Chuan Ko

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 5
3 5
4
INHIBITORY EFFECTS OF DYNORPHIN-A ON SPINALLY ADMINISTERED BETA-ENDORPHIN-AND GRP-INDUCED SCRATCHING IN NONHUMAN PRIMATES
0
5 86
6 26
7 23
8 27
9 29
10 10
11 41
12 16
13 66
14 40
15 47
16 24
17 37
18 16
19 67
20
Pharmacological assessment of thermal antinociception mediated by kappa opioid receptors in rhesus monkeys.
1

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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