Akiyoshi Kunugi

16 total papers · 639 total citations
13 papers, 505 citations indexed

About

Akiyoshi Kunugi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Akiyoshi Kunugi has authored 13 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 3 papers in Biological Psychiatry. Recurrent topics in Akiyoshi Kunugi's work include Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (4 papers) and Tryptophan and brain disorders (3 papers). Akiyoshi Kunugi is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (4 papers) and Tryptophan and brain disorders (3 papers). Akiyoshi Kunugi collaborates with scholars based in Japan and United Kingdom. Akiyoshi Kunugi's co-authors include Norihito Shintani, Hitoshi Hashimoto, Akemichi Baba, Megumi Hirose, Shuhei Tomimoto, Wakaba Mori, Kyohei Yamamoto, Toshio Matsuda, Masaki Sakaue and Hitoshi Niwa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Akiyoshi Kunugi

12 papers receiving 501 citations

Author Peers

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

Author						Papers	Cites
Akiyoshi Kunugi	413	247	112	65	56	13	505
Olga Tjurmina	305 0.7×	161 0.7×	134 1.2×	20 0.3×	36 0.6×	11	479
Keith A. Markey	359 0.9×	242 1.0×	70 0.6×	30 0.5×	35 0.6×	13	608
Joel A. Saydoff	281 0.7×	182 0.7×	86 0.8×	44 0.7×	15 0.3×	28	536
Jakob Lindberg	283 0.7×	255 1.0×	45 0.4×	18 0.3×	40 0.7×	10	532
Béatrice Botia	371 0.9×	288 1.2×	27 0.2×	24 0.4×	27 0.5×	14	580
Jean-Claude do-Rego	359 0.9×	335 1.4×	45 0.4×	51 0.8×	78 1.4×	20	575
N M Appel	401 1.0×	226 0.9×	54 0.5×	56 0.9×	14 0.3×	12	533
John M. Farah	287 0.7×	265 1.1×	85 0.8×	20 0.3×	67 1.2×	25	608
Alberto Meli	297 0.7×	186 0.8×	45 0.4×	37 0.6×	12 0.2×	16	601
Juergen Wichmann	514 1.2×	434 1.8×	31 0.3×	37 0.6×	45 0.8×	12	571

Countries citing papers authored by Akiyoshi Kunugi

Since Specialization

Citations

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

Fields of papers citing papers by Akiyoshi Kunugi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiyoshi Kunugi

This figure shows the co-authorship network connecting the top 25 collaborators of Akiyoshi Kunugi. A scholar is included among the top collaborators of Akiyoshi Kunugi 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 Akiyoshi Kunugi. Akiyoshi Kunugi 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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