Masayoshi Goto

83 total papers · 609 total citations
49 papers, 475 citations indexed

About

Masayoshi Goto is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Masayoshi Goto has authored 49 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Masayoshi Goto's work include Neuroscience and Neuropharmacology Research (15 papers), Biochemical effects in animals (6 papers) and Pancreatitis Pathology and Treatment (5 papers). Masayoshi Goto is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Biochemical effects in animals (6 papers) and Pancreatitis Pathology and Treatment (5 papers). Masayoshi Goto collaborates with scholars based in Japan, United States and China. Masayoshi Goto's co-authors include Hideomi Fukuda, Atsuko Yatani, Koki Kato, Kenichi Saito, Itsuro Nakano, Haruo Sato, Tetsuhide Ito, Hajime Nawata, Yutaka Imoto and Hiroya Yamaguchi and has published in prestigious journals such as Brain Research, Life Sciences and Digestive Diseases and Sciences.

In The Last Decade

Masayoshi Goto

48 papers receiving 431 citations

Author Peers

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

Author Last Decade Papers Cites
Masayoshi Goto 202 175 84 82 60 49 475
Eiko Ueno 94 0.5× 162 0.9× 40 0.5× 60 0.7× 63 1.1× 35 430
Á Gecse 81 0.4× 220 1.3× 30 0.4× 68 0.8× 65 1.1× 43 478
J Growcott 149 0.7× 188 1.1× 55 0.7× 89 1.1× 122 2.0× 22 453
Masato Tsutsui 84 0.4× 254 1.5× 52 0.6× 47 0.6× 65 1.1× 35 529
Narumi Hobara 205 1.0× 135 0.8× 136 1.6× 105 1.3× 165 2.8× 34 486
Marcos Arêas Marques 134 0.7× 109 0.6× 77 0.9× 31 0.4× 234 3.9× 52 511
Hongbo Jin 83 0.4× 207 1.2× 35 0.4× 80 1.0× 82 1.4× 33 501
Ming‐Ming Wu 98 0.5× 281 1.6× 46 0.5× 73 0.9× 61 1.0× 32 464
Meijuan Yan 61 0.3× 282 1.6× 46 0.5× 34 0.4× 45 0.8× 49 499
Yuta Sudo 161 0.8× 209 1.2× 40 0.5× 34 0.4× 28 0.5× 31 473

Countries citing papers authored by Masayoshi Goto

Since Specialization
Citations

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

Fields of papers citing papers by Masayoshi Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayoshi Goto

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026