Takuma Ishihara

207 total papers · 2.1k total citations
118 papers, 1.2k citations indexed

About

Takuma Ishihara is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Takuma Ishihara has authored 118 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 23 papers in Surgery and 23 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Takuma Ishihara's work include Pancreatic and Hepatic Oncology Research (10 papers), Nutrition and Health in Aging (7 papers) and Colorectal Cancer Treatments and Studies (7 papers). Takuma Ishihara is often cited by papers focused on Pancreatic and Hepatic Oncology Research (10 papers), Nutrition and Health in Aging (7 papers) and Colorectal Cancer Treatments and Studies (7 papers). Takuma Ishihara collaborates with scholars based in Japan, United States and United Kingdom. Takuma Ishihara's co-authors include Yohei Doi, Aki Sakurai, Ayumi Shintani, Mitsunaga Iwata, Shigeo Kato, Toshiharu Sasaki, Zenichi Morise, Masamichi Hayashi, Kouji Yamamoto and Masayuki Matsuo and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Takuma Ishihara

103 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Takuma Ishihara 247 242 234 178 174 118 1.2k
Lei Shu 265 1.1× 238 1.0× 199 0.9× 303 1.7× 142 0.8× 69 1.4k
Gabriel Rodrigues 231 0.9× 190 0.8× 536 2.3× 152 0.9× 123 0.7× 131 1.4k
Andrea Boccatonda 216 0.9× 94 0.4× 307 1.3× 123 0.7× 171 1.0× 87 1.2k
Qiang Guo 377 1.5× 145 0.6× 298 1.3× 332 1.9× 177 1.0× 93 1.4k
Savita Verma 240 1.0× 445 1.8× 220 0.9× 233 1.3× 116 0.7× 76 1.3k
M. Godin 222 0.9× 129 0.5× 222 0.9× 258 1.4× 89 0.5× 94 1.4k
Hayne Cho Park 154 0.6× 104 0.4× 140 0.6× 179 1.0× 149 0.9× 88 1.2k
Cristian Băicuş 149 0.6× 141 0.6× 290 1.2× 107 0.6× 216 1.2× 122 1.4k
Vincent A. DeBari 342 1.4× 92 0.4× 229 1.0× 155 0.9× 239 1.4× 102 1.4k
Ji Li 236 1.0× 284 1.2× 306 1.3× 289 1.6× 90 0.5× 121 1.4k

Countries citing papers authored by Takuma Ishihara

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Ishihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuma Ishihara

This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Ishihara. A scholar is included among the top collaborators of Takuma Ishihara 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 Takuma Ishihara. Takuma Ishihara 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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2026