Kiyoshi Matsuno

916 citations
43 papers · 786 indexed · h-index 16
Topics
Pharmacological Receptor Mechanisms and Effects (22 papers)Receptor Mechanisms and Signaling (20 papers)Neuropeptides and Animal Physiology (11 papers)
Partner nations
JapanUnited StatesRussia

In The Last Decade

Kiyoshi Matsuno

42 papers receiving 765 citations

Peers

Kiyoshi Matsuno
Comparison fields: 5 of 82
  • Molecular Biology 576
  • Cellular and Molecular Neuroscience 297
  • Pharmacology 111
  • Physiology 88
  • Genetics 65
Replace Eduardo Karahanian with:
Eduardo Karahanian Chile
Jamshid Eshraghi United States
Magnus Doverskog Sweden
Maria Smirnova France
Richard D. Swayze Canada
Takatoshi Ohkuri Japan
Marek Noga Netherlands
Seymour Ehrenpreis United States
Christopher A. Carroll United States
Bailey W. Miller United States
Kiyoshi Matsuno relative to Eduardo Karahanian Chile Eduardo Karahanian's profile →
Citations per field
00.5×1.5×2.2×
Eduardo Karahanian · 1×
Citations per year

Countries citing papers authored by Kiyoshi Matsuno

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Matsuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kiyoshi Matsuno. 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 Kiyoshi Matsuno. The network helps show where Kiyoshi Matsuno may publish in the future.

Co-authorship network of co-authors of Kiyoshi Matsuno

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Matsuno. A scholar is included among the top collaborators of Kiyoshi Matsuno 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 Kiyoshi Matsuno. Kiyoshi Matsuno 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
#WorkIndexed citations
1 2
2 6
3 34
4 51
5 22
6 11
7 93
8 16
9 70
10 3
11 2
12 63
13 1
14 5
15 5
16 13
17 16
18 3
19 16
20
[Pharmacological actions of eptazocine (l-1,4-dimethyl-10-hydroxy-2,3,4,5,6,7-hexahydro-1,6-methano-1,H-4-benzazonine). 4. Antagonistic action of naloxone on eptazocine analgesia].
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About Kiyoshi Matsuno

Kiyoshi Matsuno is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Computational Theory and Mathematics, having authored 43 papers that have together received 786 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (22 papers), Receptor Mechanisms and Signaling (20 papers) and Neuropeptides and Animal Physiology (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (297 citations), Biological Psychiatry (34 citations) and Molecular Biology (576 citations). Kiyoshi Matsuno has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Toshitaka Nabeshima, Tsutomu Kameyama, Abraham L. Sonenshein, Kazunori Kawamura, Toshihiko Senda, Shiro Mita, Akira Sugimoto, Tadayuki Kobayashi, Kiichi Ishiwata and Makoto Ukai. Their work appears in journals such as Journal of Biological Chemistry, Brain Research and Journal of Bacteriology.

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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