Akiyoshi Tani

33 total papers · 838 total citations
21 papers, 560 citations indexed

About

Akiyoshi Tani is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Akiyoshi Tani has authored 21 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Akiyoshi Tani's work include Neuropeptides and Animal Physiology (6 papers), Peptidase Inhibition and Analysis (5 papers) and Diabetes Treatment and Management (4 papers). Akiyoshi Tani is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Peptidase Inhibition and Analysis (5 papers) and Diabetes Treatment and Management (4 papers). Akiyoshi Tani collaborates with scholars based in Japan, United States and Italy. Akiyoshi Tani's co-authors include Kotaro Sakamoto, Yusuke Kamada, Junichi Sakamoto, Munehide Matsuhisa, Tomoari Kamada, Yasushi Ishida, Naohiko Ueda, Mineo Kodama, Miyuki Funami and Hiroyuki Ozaki and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Akiyoshi Tani

21 papers receiving 541 citations

Author Peers

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

Author						Papers	Cites
Akiyoshi Tani	233	122	107	98	97	21	560
R. Tschada	280 1.2×	87 0.7×	53 0.5×	27 0.3×	29 0.3×	28	583
Renan B. Ferreira	335 1.4×	53 0.4×	129 1.2×	64 0.7×	53 0.5×	27	678
Suzan K. Hanna	276 1.2×	210 1.7×	18 0.2×	70 0.7×	34 0.4×	25	652
Richard E. Toomey	387 1.7×	31 0.3×	53 0.5×	129 1.3×	20 0.2×	22	680
Kimio Tohyama	191 0.8×	274 2.2×	26 0.2×	115 1.2×	18 0.2×	36	697
Yuliya Dobrydneva	294 1.3×	116 1.0×	22 0.2×	34 0.3×	37 0.4×	17	671
Wu-Hsiung Huang	442 1.9×	45 0.4×	24 0.2×	51 0.5×	71 0.7×	24	606
Cinzia Pellizzoni	250 1.1×	133 1.1×	66 0.6×	14 0.1×	25 0.3×	18	614
María C. Ramos	252 1.1×	47 0.4×	56 0.5×	26 0.3×	25 0.3×	35	646
Lucrecia Márquez‐Rosado	471 2.0×	94 0.8×	43 0.4×	24 0.2×	118 1.2×	12	673

Countries citing papers authored by Akiyoshi Tani

Since Specialization

Citations

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

Fields of papers citing papers by Akiyoshi Tani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiyoshi Tani

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