Ken Goto

44 total papers · 463 total citations
25 papers, 321 citations indexed

About

Ken Goto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Ken Goto has authored 25 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Plant Science. Recurrent topics in Ken Goto's work include Photoreceptor and optogenetics research (8 papers), Photosynthetic Processes and Mechanisms (8 papers) and Circadian rhythm and melatonin (5 papers). Ken Goto is often cited by papers focused on Photoreceptor and optogenetics research (8 papers), Photosynthetic Processes and Mechanisms (8 papers) and Circadian rhythm and melatonin (5 papers). Ken Goto collaborates with scholars based in Japan, United States and France. Ken Goto's co-authors include Danielle Laval‐Martin, Leland N. Edmunds, Shinya Hagiwara, Yulan Zhang, Akihiko Yamagishi, Masayuki Takahashi, Yulan Zhang, Daichi Nakamura, Atsushi Wakita and Marie‐Anne Pou de Crescenzo and has published in prestigious journals such as Science, Annals of the New York Academy of Sciences and Plant and Cell Physiology.

In The Last Decade

Ken Goto

25 papers receiving 301 citations

Author Peers

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

Author						Papers	Cites
Ken Goto	142	117	75	69	55	25	321
Zhaojun Xu	180 1.3×	42 0.4×	39 0.5×	20 0.3×	24 0.4×	22	329
Toshihisa Nomura	128 0.9×	77 0.7×	9 0.1×	44 0.6×	45 0.8×	14	323
Nicole Knabe	163 1.1×	166 1.4×	12 0.2×	59 0.9×	14 0.3×	13	341
Kevin Schneider	146 1.0×	56 0.5×	22 0.3×	43 0.6×	8 0.1×	25	332
Andrew A. Carol	198 1.4×	155 1.3×	28 0.4×	6 0.1×	13 0.2×	18	325
Yue Zhou	131 0.9×	35 0.3×	11 0.1×	24 0.3×	19 0.3×	30	279
J. Perlman	137 1.0×	116 1.0×	56 0.7×	67 1.0×	21 0.4×	13	291
Gyung‐Suk Kil	37 0.3×	26 0.2×	26 0.3×	42 0.6×	24 0.4×	24	360
Liying Zhang	130 0.9×	61 0.5×	42 0.6×	6 0.1×	16 0.3×	29	334
Mingxu Fang	237 1.7×	41 0.4×	24 0.3×	27 0.4×	23 0.4×	24	329

Countries citing papers authored by Ken Goto

Since Specialization

Citations

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

Fields of papers citing papers by Ken Goto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Goto

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