Hideki Furuya

240 total papers · 2.3k total citations
107 papers, 1.6k citations indexed

About

Hideki Furuya is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Hideki Furuya has authored 107 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 28 papers in Molecular Biology and 24 papers in Oncology. Recurrent topics in Hideki Furuya's work include Bladder and Urothelial Cancer Treatments (27 papers), Sphingolipid Metabolism and Signaling (11 papers) and Urinary and Genital Oncology Studies (10 papers). Hideki Furuya is often cited by papers focused on Bladder and Urothelial Cancer Treatments (27 papers), Sphingolipid Metabolism and Signaling (11 papers) and Urinary and Genital Oncology Studies (10 papers). Hideki Furuya collaborates with scholars based in United States, Japan and Denmark. Hideki Furuya's co-authors include Yoshiko Shimizu, Toshihiko Kawamori, Charles J. Rosser, Narito Asanuma, Tsuneo Hino, Steve Goodison, Ian Pagano, Owen Chan, Yunfeng Dai and Yoshiyuki Okamoto and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Hideki Furuya

94 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Hideki Furuya 908 415 295 215 202 107 1.6k
Kayoko Higuchi 790 0.9× 565 1.4× 390 1.3× 207 1.0× 165 0.8× 117 2.2k
Jie Zhang 875 1.0× 218 0.5× 274 0.9× 328 1.5× 290 1.4× 102 2.0k
Reiko Yamamoto 702 0.8× 433 1.0× 470 1.6× 143 0.7× 202 1.0× 108 2.2k
Hideo Shigeishi 673 0.7× 194 0.5× 425 1.4× 178 0.8× 237 1.2× 108 1.7k
Ning Ji 857 0.9× 184 0.4× 215 0.7× 332 1.5× 289 1.4× 101 1.8k
Giovanni Francesco Nicoletti 598 0.7× 514 1.2× 270 0.9× 153 0.7× 178 0.9× 100 2.0k
Xin Li 698 0.8× 258 0.6× 247 0.8× 196 0.9× 337 1.7× 83 1.8k
Jia Guo 830 0.9× 238 0.6× 234 0.8× 164 0.8× 266 1.3× 96 1.6k
Yanqiu Liu 1.1k 1.2× 279 0.7× 312 1.1× 139 0.6× 275 1.4× 106 2.1k
Diana Teti 943 1.0× 150 0.4× 296 1.0× 334 1.6× 228 1.1× 66 1.9k

Countries citing papers authored by Hideki Furuya

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Furuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Furuya

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