Shinya Goto

22 total papers · 477 total citations
15 papers, 253 citations indexed

About

Shinya Goto is a scholar working on Immunology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Shinya Goto has authored 15 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Infectious Diseases and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Shinya Goto's work include T-cell and Retrovirus Studies (6 papers), Immune Cell Function and Interaction (5 papers) and Microbial infections and disease research (3 papers). Shinya Goto is often cited by papers focused on T-cell and Retrovirus Studies (6 papers), Immune Cell Function and Interaction (5 papers) and Microbial infections and disease research (3 papers). Shinya Goto collaborates with scholars based in Japan, Thailand and Brazil. Shinya Goto's co-authors include Kazuhiko Ohashi, Naoya Maekawa, Tomohiro Okagawa, M. Shiro, Satoru Konnai, Asami Nishimori, Junko Kohara, Ryoyo Ikebuchi, Yukinari Kato and Yasuhiko Suzuki and has published in prestigious journals such as PLoS ONE, Infection and Immunity and Frontiers in Immunology.

In The Last Decade

Shinya Goto

15 papers receiving 247 citations

Author Peers

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

Author						Papers	Cites
Shinya Goto	159	65	38	38	36	15	253
Yamato Sajiki	136 0.9×	40 0.6×	8 0.2×	42 1.1×	57 1.6×	21	254
Ibrahim Diallo	41 0.3×	77 1.2×	46 1.2×	45 1.2×	32 0.9×	13	278
Kahrs Rf	119 0.7×	174 2.7×	32 0.8×	62 1.6×	15 0.4×	15	306
Barbara Garré	65 0.4×	48 0.7×	18 0.5×	30 0.8×	35 1.0×	11	319
Darshana Morar-Leather	54 0.3×	27 0.4×	33 0.9×	124 3.3×	7 0.2×	26	216
Armando Heriazon	153 1.0×	70 1.1×	21 0.6×	159 4.2×	15 0.4×	9	327
T Sugiura	46 0.3×	119 1.8×	13 0.3×	88 2.3×	15 0.4×	15	297
Theo Kanellos	182 1.1×	13 0.2×	38 1.0×	36 0.9×	9 0.3×	19	311
Akiko Taniguchi	33 0.2×	58 0.9×	9 0.2×	21 0.6×	26 0.7×	22	298
D. Grégoire	181 1.1×	145 2.2×	6 0.2×	18 0.5×	9 0.3×	13	316

Countries citing papers authored by Shinya Goto

Since Specialization

Citations

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

Fields of papers citing papers by Shinya Goto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Goto

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