Kenei Furukawa

312 total papers · 2.6k total citations
201 papers, 1.9k citations indexed

About

Kenei Furukawa is a scholar working on Oncology, Surgery and Hepatology. According to data from OpenAlex, Kenei Furukawa has authored 201 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Oncology, 98 papers in Surgery and 63 papers in Hepatology. Recurrent topics in Kenei Furukawa's work include Pancreatic and Hepatic Oncology Research (62 papers), Hepatocellular Carcinoma Treatment and Prognosis (47 papers) and Inflammatory Biomarkers in Disease Prognosis (39 papers). Kenei Furukawa is often cited by papers focused on Pancreatic and Hepatic Oncology Research (62 papers), Hepatocellular Carcinoma Treatment and Prognosis (47 papers) and Inflammatory Biomarkers in Disease Prognosis (39 papers). Kenei Furukawa collaborates with scholars based in Japan, United States and South Korea. Kenei Furukawa's co-authors include Koichiro Haruki, Katsuhiko Yanaga, Hiroaki Shiba, Yuki Fujiwara, Takeyuki Misawa, Yoshihiro Shirai, Takeshi Gocho, Toru Ikegami, Ryota Iwase and Shinji Onda and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Kenei Furukawa

175 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Kenei Furukawa 1.1k 719 382 322 312 201 1.9k
Koichiro Haruki 1.1k 1.0× 709 1.0× 341 0.9× 287 0.9× 182 0.6× 199 1.8k
Yoshitsugu Tajima 1.1k 1.0× 1.3k 1.7× 691 1.8× 240 0.7× 342 1.1× 204 2.3k
Hideo Baba 1.0k 0.9× 711 1.0× 654 1.7× 310 1.0× 368 1.2× 118 2.1k
Jung Yong Hong 1.2k 1.1× 403 0.6× 602 1.6× 246 0.8× 500 1.6× 193 2.3k
Sachiko Minamiguchi 601 0.6× 894 1.2× 539 1.4× 498 1.5× 298 1.0× 176 2.6k
Jun Hanaoka 756 0.7× 679 0.9× 651 1.7× 322 1.0× 568 1.8× 201 2.3k
Ryosuke Amano 1.5k 1.4× 929 1.3× 762 2.0× 159 0.5× 326 1.0× 140 2.3k
Serge Évrard 743 0.7× 809 1.1× 473 1.2× 446 1.4× 317 1.0× 126 2.1k
Tadao Manabe 937 0.9× 869 1.2× 402 1.1× 177 0.5× 595 1.9× 149 2.4k
Chul Won Choi 845 0.8× 533 0.7× 658 1.7× 283 0.9× 484 1.6× 190 2.8k

Countries citing papers authored by Kenei Furukawa

Since Specialization
Citations

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

Fields of papers citing papers by Kenei Furukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenei Furukawa

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