Ken Goto

14 total papers · 719 total citations
11 papers, 563 citations indexed

About

Ken Goto is a scholar working on Surgery, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Ken Goto has authored 11 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Ken Goto's work include Renal and related cancers (2 papers), Urinary and Genital Oncology Studies (2 papers) and Nutritional Studies and Diet (2 papers). Ken Goto is often cited by papers focused on Renal and related cancers (2 papers), Urinary and Genital Oncology Studies (2 papers) and Nutritional Studies and Diet (2 papers). Ken Goto collaborates with scholars based in Japan, United States and South Africa. Ken Goto's co-authors include E. Lynette Wilson, Patricia E. Burger, Sandra Coetzee, Sarah N. Salm, Xiaozhong Xiong, David Moscatelli, Seiji Naito, Hideyuki Akaza, Koji Okumura and Kiyohide Fujimoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Nutrition and The Journal of Urology.

In The Last Decade

Ken Goto

11 papers receiving 538 citations

Author Peers

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

Author						Papers	Cites
Ken Goto	195	184	181	129	84	11	563
Grant N. Stemmerman	151 0.8×	338 1.8×	89 0.5×	224 1.7×	47 0.6×	12	633
X N Zou	127 0.7×	90 0.5×	112 0.6×	43 0.3×	130 1.5×	11	553
Kaneyoshi Akazaki	344 1.8×	139 0.8×	95 0.5×	107 0.8×	24 0.3×	21	628
Joseph F. Fraumeni	128 0.7×	194 1.1×	89 0.5×	162 1.3×	63 0.8×	9	698
M. C. Yu	165 0.8×	143 0.8×	240 1.3×	37 0.3×	25 0.3×	17	572
Kannan Thanikachalam	76 0.4×	211 1.1×	238 1.3×	65 0.5×	24 0.3×	10	557
Barbara G. Fallon	144 0.7×	298 1.6×	155 0.9×	52 0.4×	50 0.6×	18	666
C Menendez-Botet	103 0.5×	88 0.5×	157 0.9×	36 0.3×	98 1.2×	10	541
Robert T. Perri	123 0.6×	142 0.8×	149 0.8×	74 0.6×	132 1.6×	22	647
Fabio Levi	96 0.5×	306 1.7×	79 0.4×	171 1.3×	47 0.6×	12	620

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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