Takehisa Hashimoto

59 total papers · 828 total citations
42 papers, 647 citations indexed

About

Takehisa Hashimoto is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Takehisa Hashimoto has authored 42 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 12 papers in Oncology and 9 papers in Surgery. Recurrent topics in Takehisa Hashimoto's work include Lung Cancer Diagnosis and Treatment (12 papers), Lung Cancer Treatments and Mutations (11 papers) and Medical Imaging and Pathology Studies (5 papers). Takehisa Hashimoto is often cited by papers focused on Lung Cancer Diagnosis and Treatment (12 papers), Lung Cancer Treatments and Mutations (11 papers) and Medical Imaging and Pathology Studies (5 papers). Takehisa Hashimoto collaborates with scholars based in Japan, United States and India. Takehisa Hashimoto's co-authors include Masanori Tsuchida, Jun‐Ichi Hayashi, Tadashi Aoki, Terumoto Koike, Eiju Tsuchiya, Ken Nakagawa, Yoshio Tokuchi, Moriaki Hayashi, Takehiro Watanabe and Yasuhito Kobayashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal Of Pathology and International Journal of Cancer.

In The Last Decade

Takehisa Hashimoto

41 papers receiving 631 citations

Author Peers

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

Author Last Decade Papers Cites
Takehisa Hashimoto 371 230 130 102 99 42 647
C Mossetti 350 0.9× 380 1.7× 130 1.0× 85 0.8× 115 1.2× 31 742
Matteo Perrino 371 1.0× 166 0.7× 137 1.1× 110 1.1× 44 0.4× 48 666
Hiroshi Wataya 359 1.0× 289 1.3× 102 0.8× 59 0.6× 87 0.9× 40 558
Yoshinori Hirashima 241 0.6× 339 1.5× 156 1.2× 44 0.4× 98 1.0× 30 579
I Weng Lao 288 0.8× 189 0.8× 119 0.9× 58 0.6× 57 0.6× 34 588
Marianna Macerelli 232 0.6× 283 1.2× 161 1.2× 202 2.0× 71 0.7× 28 614
Jian Wang 330 0.9× 222 1.0× 163 1.3× 101 1.0× 117 1.2× 62 754
Masahiro Mitsuoka 325 0.9× 191 0.8× 86 0.7× 122 1.2× 237 2.4× 54 657
Jean‐Laurent Deville 254 0.7× 185 0.8× 190 1.5× 38 0.4× 71 0.7× 38 640
Hidenori Mizugaki 230 0.6× 399 1.7× 206 1.6× 123 1.2× 44 0.4× 40 707

Countries citing papers authored by Takehisa Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Takehisa Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehisa Hashimoto

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