Hiroshi Takeda

964 total papers · 15.7k total citations
578 papers, 11.9k citations indexed

About

Hiroshi Takeda is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hiroshi Takeda has authored 578 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Molecular Biology, 106 papers in Surgery and 81 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hiroshi Takeda's work include Helicobacter pylori-related gastroenterology studies (42 papers), Stress Responses and Cortisol (36 papers) and Neurotransmitter Receptor Influence on Behavior (27 papers). Hiroshi Takeda is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (42 papers), Stress Responses and Cortisol (36 papers) and Neurotransmitter Receptor Influence on Behavior (27 papers). Hiroshi Takeda collaborates with scholars based in Japan, United States and Canada. Hiroshi Takeda's co-authors include Teruhiko Matsumiya, Minoru Tsuji, Masahiro Asaka, Mototsugu Kato, Masato Inazu, Toshiro Sugiyama, Tatsuya Ohkawara, Shunsuke Ohnishi, David Y. Graham and Tomohisa Hattori and has published in prestigious journals such as Nature, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Hiroshi Takeda

560 papers receiving 11.4k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Hiroshi Takeda 3.0k 2.7k 1.4k 1.3k 1.2k 578 11.9k
Masatoshi Fujishima 2.6k 0.9× 2.5k 0.9× 2.4k 1.7× 2.9k 2.2× 3.2k 2.8× 648 14.6k
Hiroshi Nakano 2.4k 0.8× 2.7k 1.0× 1.5k 1.0× 1.8k 1.3× 555 0.5× 723 12.0k
Hajime Nawata 2.5k 0.8× 4.7k 1.8× 1.2k 0.8× 2.3k 1.7× 1.1k 0.9× 494 14.8k
Ying Li 1.4k 0.5× 2.7k 1.0× 854 0.6× 1.0k 0.8× 783 0.7× 707 12.5k
Takanari Kitazono 1.8k 0.6× 2.9k 1.1× 1.7k 1.2× 2.9k 2.2× 2.9k 2.4× 728 15.1k
Sung Soo Kim 1.7k 0.6× 6.8k 2.6× 1.2k 0.8× 1.7k 1.3× 366 0.3× 542 14.6k
Karen L. Jones 4.5k 1.5× 3.9k 1.4× 1.0k 0.7× 6.0k 4.5× 1.1k 0.9× 481 19.1k
Ping Li 1.1k 0.4× 6.0k 2.2× 1.2k 0.8× 1.2k 0.9× 534 0.5× 622 13.4k
Patrick Tso 3.6k 1.2× 4.3k 1.6× 419 0.3× 3.9k 2.9× 744 0.6× 325 13.9k
Jin Liu 2.3k 0.8× 4.6k 1.7× 1.1k 0.8× 1.4k 1.1× 981 0.8× 806 15.2k

Countries citing papers authored by Hiroshi Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Takeda

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