Shin‐ei Kudo

35 total papers · 2.6k total citations
22 papers, 1.4k citations indexed

About

Shin‐ei Kudo is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Shin‐ei Kudo has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Oncology. Recurrent topics in Shin‐ei Kudo's work include Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Screening and Detection (7 papers) and Gastroesophageal reflux and treatments (5 papers). Shin‐ei Kudo is often cited by papers focused on Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Screening and Detection (7 papers) and Gastroesophageal reflux and treatments (5 papers). Shin‐ei Kudo collaborates with scholars based in Japan, Philippines and United Kingdom. Shin‐ei Kudo's co-authors include Haruhiro Inoue, Norio Fukami, Shinsuke Usui, Haruo Ikeda, Hiroki Sato, Chiaki Sato, Hitoshi Satodate, Tatsuya Yoshida, Manabu Onimaru and Yasutoshi Kobayashi and has published in prestigious journals such as Gastrointestinal Endoscopy, Journal of the American College of Surgeons and Inflammatory Bowel Diseases.

In The Last Decade

Shin‐ei Kudo

20 papers receiving 1.4k citations

Hit Papers

Per-Oral Endoscopic Myoto... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Shin‐ei Kudo 1.1k 734 594 304 228 22 1.4k
F.C.A. den Hartog Jager 980 0.9× 272 0.4× 1.0k 1.7× 519 1.7× 59 0.3× 37 1.6k
Sri Komanduri 973 0.9× 436 0.6× 953 1.6× 671 2.2× 32 0.1× 42 1.6k
Pieter Scholten 1.1k 1.0× 313 0.4× 715 1.2× 289 1.0× 75 0.3× 27 1.4k
Ayako Tateishi 876 0.8× 799 1.1× 1.5k 2.5× 232 0.8× 26 0.1× 43 1.8k
Yasumasa Ezoe 855 0.8× 187 0.3× 958 1.6× 194 0.6× 40 0.2× 49 1.2k
Tibetha Santucci 398 0.4× 186 0.3× 708 1.2× 236 0.8× 65 0.3× 18 1.1k
Kengo Nagai 722 0.7× 221 0.3× 906 1.5× 201 0.7× 27 0.1× 41 1.1k
Renzo Cestari 885 0.8× 523 0.7× 349 0.6× 217 0.7× 40 0.2× 46 1.3k
Loredana Correale 806 0.8× 466 0.6× 770 1.3× 834 2.7× 244 1.1× 44 1.5k
Kazuhiro Gono 691 0.6× 136 0.2× 619 1.0× 308 1.0× 12 0.1× 13 1.1k

Countries citing papers authored by Shin‐ei Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Shin‐ei Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin‐ei Kudo. 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 Shin‐ei Kudo. The network helps show where Shin‐ei Kudo may publish in the future.

Co-authorship network of co-authors of Shin‐ei Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Shin‐ei Kudo. A scholar is included among the top collaborators of Shin‐ei Kudo 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 Shin‐ei Kudo. Shin‐ei Kudo 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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