M. Kuno

4.8k citations
84 papers · 4.3k · h-index 42

Impact in

Papers in

M. Kuno

82 papers receiving 3.6k citations

Peers

M. Kuno
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 2.8k
  • Developmental Neuroscience 297
  • Neurology 521
  • Endocrine and Autonomic Systems 414
  • Cognitive Neuroscience 849
Replace John B. Munson with:
John B. Munson United States
Monique Touret France
A. Calas France
G. ten Bruggencate Germany
Robert E.W. Fyffe United States
Eric Rinvik Norway
Jean‐Pierre Hornung Switzerland
Keiji Satoh Japan
J.D. Leah Australia
Hitoo Nishino Japan
M. Kuno relative to John B. Munson United States John B. Munson's profile →
Citations per field
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John B. Munson · 1×
Citations per year

Countries citing papers authored by M. Kuno

Since Specialization
Citations

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

Fields of papers citing papers by M. Kuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Kuno, 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 M. Kuno Line = papers co-authored together M. Kuno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971273
2 1970208
3 1964191
4 1974158
5 1970150
6 1959136
7 1964134
8 1978125
9 1971123
10 1985117
11 1986114
12 1975105
13 1987102
14 198896
15 197793
16 196393
17 196386
18 197984
19 198983
20 195981

About M. Kuno

M. Kuno is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Biomedical Engineering, having authored 84 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (23 papers), Neuroscience and Neuropharmacology Research (20 papers), Ion channel regulation and function (17 papers), Neural dynamics and brain function (16 papers), Nerve injury and regeneration (14 papers), Muscle activation and electromyography studies (14 papers), Pain Mechanisms and Treatments (12 papers) and Neurobiology and Insect Physiology Research (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Developmental Neuroscience (297 citations), Neurology (521 citations), Endocrine and Autonomic Systems (414 citations) and Cognitive Neuroscience (849 citations). M. Kuno has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoichi Miyata, R. Llinás, J. N. Weakly, Y Kashihara, J. T. Miyahara, E. J. Muñoz‐Martínez, Stuart A. Turkanis, Norio Kudo, Roberto Gallego and Carlton C. Hunt. Their work appears in journals such as The Journal of Physiology, Journal of Neuroscience, World Journal of Surgical Oncology, Journal of Neurophysiology and Anticancer Research.

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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