Takeshi Hisada

267 total papers · 4.6k total citations
182 papers, 3.7k citations indexed

About

Takeshi Hisada is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Physiology. According to data from OpenAlex, Takeshi Hisada has authored 182 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Pulmonary and Respiratory Medicine, 55 papers in Oncology and 45 papers in Physiology. Recurrent topics in Takeshi Hisada's work include Asthma and respiratory diseases (34 papers), Lung Cancer Treatments and Mutations (31 papers) and Lung Cancer Research Studies (26 papers). Takeshi Hisada is often cited by papers focused on Asthma and respiratory diseases (34 papers), Lung Cancer Treatments and Mutations (31 papers) and Lung Cancer Research Studies (26 papers). Takeshi Hisada collaborates with scholars based in Japan, United States and United Kingdom. Takeshi Hisada's co-authors include Tamotsu Ishizuka, Masatomo Mori, Kyoichi Kaira, Noriaki Sunaga, Noriko Yanagitani, Kunio Dobashi, Kimihiro Shimizu, Noboru Oriuchi, Hisao Imai and Mitsuyoshi Utsugi 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

Takeshi Hisada

173 papers receiving 3.6k citations

Author Peers

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

Author Last Decade Papers Cites
Takeshi Hisada 1.3k 1.3k 984 740 628 182 3.7k
Kunio Dobashi 1.1k 0.8× 1.5k 1.2× 1.0k 1.0× 243 0.3× 793 1.3× 163 4.1k
Tamotsu Ishizuka 1.4k 1.1× 2.5k 1.9× 1.2k 1.2× 944 1.3× 947 1.5× 203 5.5k
Mario Romano 869 0.7× 1.4k 1.1× 795 0.8× 655 0.9× 577 0.9× 139 5.0k
Roberto Barrios 1.7k 1.4× 1.6k 1.3× 716 0.7× 284 0.4× 360 0.6× 110 4.2k
Noriaki Sunaga 1.6k 1.2× 2.4k 1.9× 1.7k 1.7× 1.0k 1.4× 230 0.4× 153 4.7k
Toshiharu Ishii 1.3k 1.0× 1.6k 1.2× 788 0.8× 327 0.4× 482 0.8× 155 5.6k
Izumi Takeyoshi 1.0k 0.8× 1.3k 1.0× 980 1.0× 408 0.6× 216 0.3× 341 4.3k
Jeffrey I. Kreisberg 1.0k 0.8× 3.2k 2.5× 852 0.9× 227 0.3× 493 0.8× 103 5.9k
H Nawata 688 0.5× 1.5k 1.2× 581 0.6× 231 0.3× 1.1k 1.7× 173 5.1k
Shinichi Sakamoto 782 0.6× 1.4k 1.1× 535 0.5× 403 0.5× 141 0.2× 197 3.2k

Countries citing papers authored by Takeshi Hisada

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Hisada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Hisada

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