Kunio Koshimura

1.7k citations
85 papers · 1.5k · h-index 21

Impact in

Papers in

Kunio Koshimura

82 papers receiving 1.4k citations

Peers

Kunio Koshimura
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 506
  • Endocrine and Autonomic Systems 149
  • Hematology 200
  • Clinical Biochemistry 121
  • Physiology 379
Replace Anja U. Bräuer with:
Anja U. Bräuer Germany
Lone Helboe Denmark
I. V. Victorov Russia
Lars P. van der Heide Netherlands
Nathalie Bertrand France
Massimo Rizzi Italy
Yoichi Chiba Japan
H. Jürgen Wenzel United States
Maurizio Cammalleri Italy
Osamu Yasuhara Japan
Kunio Koshimura relative to Anja U. Bräuer Germany Anja U. Bräuer's profile →
Citations per field
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Anja U. Bräuer · 1×
Citations per year

Countries citing papers authored by Kunio Koshimura

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Koshimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999159
2 199083
3 199169
4 199763
5 199053
6 200051
7 200046
8 199139
9 200237
10 200230
11 199530
12 199229
13 200029
14 199828
15 200427
16 200025
17 200324
18 199224
19 199923
20 199422

About Kunio Koshimura

Kunio Koshimura is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Nitric Oxide and Endothelin Effects (22 papers), Metabolism and Genetic Disorders (12 papers), Neuropeptides and Animal Physiology (11 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Ion channel regulation and function (9 papers), Adipose Tissue and Metabolism (8 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (506 citations), Endocrine and Autonomic Systems (149 citations), Hematology (200 citations), Clinical Biochemistry (121 citations) and Physiology (379 citations). Kunio Koshimura has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Yuzuru Kato, Yoshio Murakami, Soichi Miwa, Junko Tanaka, Motoi Sohmiya, Ken Lee, Yasuyoshi Watanabe, Junko Tanaka, Masateru Nishiki and Motohatsu Fujiwara. Their work appears in journals such as Journal of Neurochemistry, Brain Research, Neuroscience Research, Regulatory Peptides and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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