Kunio Koshimura

1.7k citations
87 papers · 1.5k · h-index 22

Impact in

Papers in

Kunio Koshimura

83 papers receiving 1.5k citations

Peers

Kunio Koshimura
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 528
  • Endocrine and Autonomic Systems 151
  • Clinical Biochemistry 130
  • Hematology 205
  • Physiology 394
Replace Anja U. Bräuer with:
Anja U. Bräuer Germany
Lone Helboe Denmark
Armando P. Signore United States
Lars P. van der Heide Netherlands
Massimo Rizzi Italy
José‐Luis González de Aguilar France
I. V. Victorov Russia
H. Jürgen Wenzel United States
Douglas N. Ishii United States
Philippe G. Vallet Switzerland
Kunio Koshimura relative to Anja U. Bräuer Germany Anja U. Bräuer's profile →
Citations per field
00.5×5.3×
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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999164
2 199087
3 199171
4 199767
5 199056
6 200052
7 200046
8 199140
9 200237
10 199532
11 200231
12 199829
13 199229
14 200029
15 200427
16 200026
17 200325
18 199424
19 199224
20 199923

About Kunio Koshimura

Kunio Koshimura is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 87 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 (14 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 (528 citations), Endocrine and Autonomic Systems (151 citations), Clinical Biochemistry (130 citations), Hematology (205 citations) and Physiology (394 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, Motohatsu Fujiwara and Masateru Nishiki. Their work appears in journals such as Journal of Neurochemistry, Brain Research, Naunyn-Schmiedeberg s Archives of Pharmacology, Regulatory Peptides and Neuroscience 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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