Ken Sakata

20 total papers · 921 total citations
14 papers, 814 citations indexed

About

Ken Sakata is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Ken Sakata has authored 14 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 8 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Ken Sakata's work include Genetic factors in colorectal cancer (10 papers), Cancer-related gene regulation (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). Ken Sakata is often cited by papers focused on Genetic factors in colorectal cancer (10 papers), Cancer-related gene regulation (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). Ken Sakata collaborates with scholars based in Japan and United States. Ken Sakata's co-authors include Ryoichi Satodate, Chihaya Maesawa, Yasushi Suzuki, Masanori Terashima, Satoshi Nishizuka, Gen Tamura, Gen Tamura, Satoshi Ogasawara, Masahiro Kashiwaba and Takeshi Iwaya and has published in prestigious journals such as Oncogene, The Journal of Pathology and Genes Chromosomes and Cancer.

In The Last Decade

Ken Sakata

14 papers receiving 805 citations

Author Peers

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

Author						Papers	Cites
Ken Sakata	494	358	258	155	149	14	814
Kara N. Smolinski	386 0.8×	341 1.0×	219 0.8×	202 1.3×	88 0.6×	15	770
Eiichi Tahara	399 0.8×	280 0.8×	342 1.3×	335 2.2×	201 1.3×	14	976
Brent F.G. Treiger	329 0.7×	129 0.4×	122 0.5×	166 1.1×	276 1.9×	11	764
Sonja Candidus	629 1.3×	188 0.5×	118 0.5×	256 1.7×	186 1.2×	12	985
Wiljo J. F. de Leeuw	405 0.8×	246 0.7×	77 0.3×	204 1.3×	82 0.6×	15	828
Emílio Marcelo Pereira	236 0.5×	298 0.8×	147 0.6×	422 2.7×	122 0.8×	19	912
Gordon T. Sakamoto	323 0.7×	82 0.2×	171 0.7×	174 1.1×	161 1.1×	20	966
Sylvia A. Bleuming	636 1.3×	194 0.5×	160 0.6×	303 2.0×	62 0.4×	10	891
H. Lamlum	444 0.9×	402 1.1×	85 0.3×	425 2.7×	90 0.6×	16	923
Wendy van Veelen	673 1.4×	164 0.5×	116 0.4×	401 2.6×	63 0.4×	20	1.0k

Countries citing papers authored by Ken Sakata

Since Specialization

Citations

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

Fields of papers citing papers by Ken Sakata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Sakata

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