Suketo Sou

31 total papers · 604 total citations
16 papers, 424 citations indexed

About

Suketo Sou is a scholar working on Surgery, Gastroenterology and Genetics. According to data from OpenAlex, Suketo Sou has authored 16 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 8 papers in Gastroenterology and 7 papers in Genetics. Recurrent topics in Suketo Sou's work include Inflammatory Bowel Disease (7 papers), Gastrointestinal disorders and treatments (4 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (4 papers). Suketo Sou is often cited by papers focused on Inflammatory Bowel Disease (7 papers), Gastrointestinal disorders and treatments (4 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (4 papers). Suketo Sou collaborates with scholars based in Japan. Suketo Sou's co-authors include Toshiyuki Matsui, Takashi Nagahama, Kenshi Yao, Hideyuki Nomura, Tsuneyoshi Yao, Yosuke Kikuchi, Akinori Iwashita, Yoichi Kimura, Jun Hayashi and Hiromi Ishibashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and Gastrointestinal Endoscopy.

In The Last Decade

Suketo Sou

16 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Suketo Sou 237 161 151 120 116 16 424
Fiebo JW ten Kate 267 1.1× 126 0.8× 120 0.8× 88 0.7× 77 0.7× 9 387
Decker Butzner 198 0.8× 175 1.1× 112 0.7× 112 0.9× 161 1.4× 11 366
G K Pande 287 1.2× 85 0.5× 82 0.5× 59 0.5× 212 1.8× 17 409
Giovanna Venezia 202 0.9× 226 1.4× 127 0.8× 83 0.7× 172 1.5× 14 462
J. J. Nicolaï 274 1.2× 218 1.4× 70 0.5× 88 0.7× 176 1.5× 23 441
Laurent Rebouissoux 247 1.0× 204 1.3× 112 0.7× 53 0.4× 116 1.0× 18 439
Jorge Brito 278 1.2× 194 1.2× 63 0.4× 66 0.6× 115 1.0× 18 492
J R Lowes 209 0.9× 160 1.0× 34 0.2× 96 0.8× 76 0.7× 19 411
I Janczewska 146 0.6× 144 0.9× 40 0.3× 56 0.5× 110 0.9× 20 369
T. Kanaghinis 182 0.8× 209 1.3× 47 0.3× 80 0.7× 46 0.4× 14 419

Countries citing papers authored by Suketo Sou

Since Specialization
Citations

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

Fields of papers citing papers by Suketo Sou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suketo Sou

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