Takayuki Suto

99 total papers · 669 total citations
60 papers, 503 citations indexed

About

Takayuki Suto is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Takayuki Suto has authored 60 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 13 papers in Pulmonary and Respiratory Medicine and 13 papers in Oncology. Recurrent topics in Takayuki Suto's work include Cholangiocarcinoma and Gallbladder Cancer Studies (20 papers), Genetic factors in colorectal cancer (10 papers) and Hernia repair and management (6 papers). Takayuki Suto is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (20 papers), Genetic factors in colorectal cancer (10 papers) and Hernia repair and management (6 papers). Takayuki Suto collaborates with scholars based in Japan, United States and Poland. Takayuki Suto's co-authors include Senji Kanno, Tamotsu Sugai, Hiroyuki Nitta, Kazuyoshi Saito, Shinichi Nakamura, Osamu Funato, Ryoko Sasaki, Akira Sasaki, Noriyuki Uesugi and Wataru Habano and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.

In The Last Decade

Takayuki Suto

50 papers receiving 487 citations

Author Peers

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

Author Last Decade Papers Cites
Takayuki Suto 350 211 142 96 94 60 503
M Sianesi 331 0.9× 162 0.8× 172 1.2× 79 0.8× 53 0.6× 79 613
Tivadar Bara 235 0.7× 212 1.0× 180 1.3× 84 0.9× 76 0.8× 68 535
A Kondi-Pafiti 194 0.6× 167 0.8× 103 0.7× 51 0.5× 55 0.6× 57 599
Kohji Tanakaya 196 0.6× 178 0.8× 198 1.4× 178 1.9× 103 1.1× 69 530
Kohji Konishi 305 0.9× 216 1.0× 212 1.5× 72 0.8× 44 0.5× 58 586
Nobuyuki Ozaki 258 0.7× 182 0.9× 137 1.0× 104 1.1× 36 0.4× 37 581
Takaharu Kato 183 0.5× 304 1.4× 184 1.3× 166 1.7× 114 1.2× 62 555
Kazuyuki Kawamoto 205 0.6× 158 0.7× 121 0.9× 76 0.8× 37 0.4× 70 447
Feng Wang 193 0.6× 217 1.0× 103 0.7× 56 0.6× 154 1.6× 41 494
Rose Chami 240 0.7× 117 0.6× 145 1.0× 87 0.9× 64 0.7× 42 524

Countries citing papers authored by Takayuki Suto

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Suto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Suto

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