Hisashi Koda

27 total papers · 412 total citations
17 papers, 351 citations indexed

About

Hisashi Koda is a scholar working on Cellular and Molecular Neuroscience, Physiology and Genetics. According to data from OpenAlex, Hisashi Koda has authored 17 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 6 papers in Physiology and 5 papers in Genetics. Recurrent topics in Hisashi Koda's work include Neuropeptides and Animal Physiology (8 papers), Pain Mechanisms and Treatments (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers). Hisashi Koda is often cited by papers focused on Neuropeptides and Animal Physiology (8 papers), Pain Mechanisms and Treatments (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers). Hisashi Koda collaborates with scholars based in Japan. Hisashi Koda's co-authors include Kazue Mizumura, Takao Kumazawa, T. Kumazawa, Ratan K. Banik, Rocı́o Girón, Kimiaki Katanosaka, Makoto Tominaga, Yasuo Kiso, Akira Hara and Akira Niijima and has published in prestigious journals such as Journal of Neurophysiology, Brain Research and Neuroscience Letters.

In The Last Decade

Hisashi Koda

17 papers receiving 349 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hisashi Koda 234 164 116 78 49 17 351
Tayler D. Sheahan 227 1.0× 147 0.9× 81 0.7× 32 0.4× 32 0.7× 14 351
Akihiko Furukawa 175 0.7× 113 0.7× 131 1.1× 66 0.8× 18 0.4× 19 396
Zsófia Hajna 163 0.7× 123 0.8× 104 0.9× 74 0.9× 41 0.8× 15 369
Ann M. Gregus 186 0.8× 100 0.6× 96 0.8× 67 0.9× 49 1.0× 16 331
N. A. Hayes 146 0.6× 81 0.5× 107 0.9× 25 0.3× 16 0.3× 14 363
Luke A. Pattison 144 0.6× 81 0.5× 143 1.2× 38 0.5× 25 0.5× 20 350
R Rathsack 210 0.9× 232 1.4× 113 1.0× 42 0.5× 7 0.1× 26 399
J.C. Péchadre 155 0.7× 119 0.7× 65 0.6× 27 0.3× 39 0.8× 14 397
Violeta Ristoiu 180 0.8× 122 0.7× 101 0.9× 50 0.6× 19 0.4× 23 378
R. Yu. Yukhananov 221 0.9× 191 1.2× 131 1.1× 34 0.4× 24 0.5× 18 371

Countries citing papers authored by Hisashi Koda

Since Specialization
Citations

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

Fields of papers citing papers by Hisashi Koda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisashi Koda

This figure shows the co-authorship network connecting the top 25 collaborators of Hisashi Koda. A scholar is included among the top collaborators of Hisashi Koda 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 Hisashi Koda. Hisashi Koda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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