Kennosuke Shirai

9 total papers · 511 total citations
6 papers, 412 citations indexed

About

Kennosuke Shirai is a scholar working on Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kennosuke Shirai has authored 6 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 3 papers in Pathology and Forensic Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kennosuke Shirai's work include Helicobacter pylori-related gastroenterology studies (4 papers), Gastric Cancer Management and Outcomes (3 papers) and Genetic factors in colorectal cancer (2 papers). Kennosuke Shirai is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (4 papers), Gastric Cancer Management and Outcomes (3 papers) and Genetic factors in colorectal cancer (2 papers). Kennosuke Shirai collaborates with scholars based in Japan, United States and Vietnam. Kennosuke Shirai's co-authors include Naoki Ohmiya, Yasumasa Niwa, Akihiro Ito, Yoshiki Hirooka, Hidemi Goto, Ayumu Taguchi, Nobuyuki Mabuchi, Shinji Ohashi, Shozo Okamura and Tetsuro Nagasaka and has published in prestigious journals such as Cancer, Gastrointestinal Endoscopy and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Kennosuke Shirai

6 papers receiving 402 citations

Author Peers

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

Author						Papers	Cites
Kennosuke Shirai	274	127	103	100	91	6	412
Nobuyuki Mabuchi	255 0.9×	120 0.9×	102 1.0×	177 1.8×	82 0.9×	8	480
M Riihelä	322 1.2×	57 0.4×	56 0.5×	88 0.9×	74 0.8×	7	413
María Luisa Campos	329 1.2×	210 1.7×	29 0.3×	50 0.5×	41 0.5×	5	412
Jaw‐Town Lin	235 0.9×	133 1.0×	25 0.2×	179 1.8×	51 0.6×	8	394
Jeffrey J. Goates	315 1.1×	67 0.5×	34 0.3×	39 0.4×	88 1.0×	9	479
Suketami Tominaga	137 0.5×	84 0.7×	19 0.2×	142 1.4×	90 1.0×	7	404
Lorenzo Garosi	203 0.7×	40 0.3×	83 0.8×	107 1.1×	69 0.8×	10	464
JJ Keller	337 1.2×	45 0.4×	137 1.3×	27 0.3×	62 0.7×	7	438
Rosalba Tamayo	73 0.3×	60 0.5×	93 0.9×	108 1.1×	65 0.7×	6	385
X. J. Fan	394 1.4×	235 1.9×	40 0.4×	29 0.3×	26 0.3×	8	442

Countries citing papers authored by Kennosuke Shirai

Since Specialization

Citations

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

Fields of papers citing papers by Kennosuke Shirai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kennosuke Shirai

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