Kazuyoshi Kawa

714 citations
24 papers · 621 indexed · h-index 15
Topics
Neuroscience and Neuropharmacology Research (13 papers)Ion channel regulation and function (13 papers)Neuroscience and Neural Engineering (6 papers)
Partner nations
JapanGermany

In The Last Decade

Kazuyoshi Kawa

24 papers receiving 596 citations

Peers

Kazuyoshi Kawa
Comparison fields: 5 of 79
  • Molecular Biology 388
  • Cellular and Molecular Neuroscience 331
  • Cardiology and Cardiovascular Medicine 61
  • Reproductive Medicine 61
  • Cognitive Neuroscience 60
Replace Long-Wu Zhou with:
Long-Wu Zhou United States
W. R. A. K. J. S. Rajapaksha United Kingdom
Tatiana Fiordelisio Mexico
Pierrette Lafon France
Peter Cobbett United States
Jean J. Nordmann France
Loredana D’Este Italy
S. Kito Japan
Alejandra Figueroa Mexico
J. Stefan Kaczmarek United States
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Citations per field
00.5×8.7×
Long-Wu Zhou · 1×
Citations per year

Countries citing papers authored by Kazuyoshi Kawa

Since Specialization
Citations

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

Fields of papers citing papers by Kazuyoshi Kawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuyoshi Kawa

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyoshi Kawa. A scholar is included among the top collaborators of Kazuyoshi Kawa 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 Kazuyoshi Kawa. Kazuyoshi Kawa 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 29
2 8
3
Presynaptic nicotinic receptors mediate robust GABA release in autonomic medullary neurons of the rat
1
4 9
5 4
6 24
7 36
8 16
9 90
10 8
11 16
12 13
13 7
14 15
15 27
16 78
17 25
18 46
19 17
20 92

About Kazuyoshi Kawa

Kazuyoshi Kawa is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 24 papers that have together received 621 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Ion channel regulation and function (13 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (331 citations), Physiology (48 citations) and Reproductive Medicine (61 citations). Kazuyoshi Kawa has collaborated with scholars based in Japan and Germany. Frequent co-authors include Jun Fukuda, Susumu Hagiwara, Stephen D. Roper, Kunihiko Obata, Yasuyuki Suzuki, Shunsuke Furuyama, Taiga Yamasaki, Taishin Nomura, Hisayuki Uneyama and Yoshiro Yamashita. Their work appears in journals such as Science, The Journal of Physiology and Journal of Neurophysiology.

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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