Taketo Yamada

276 total papers · 9.3k total citations
177 papers, 7.4k citations indexed

About

Taketo Yamada is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Taketo Yamada has authored 177 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 47 papers in Oncology and 33 papers in Surgery. Recurrent topics in Taketo Yamada's work include Peptidase Inhibition and Analysis (24 papers), Pancreatic function and diabetes (20 papers) and Multiple Myeloma Research and Treatments (14 papers). Taketo Yamada is often cited by papers focused on Peptidase Inhibition and Analysis (24 papers), Pancreatic function and diabetes (20 papers) and Multiple Myeloma Research and Treatments (14 papers). Taketo Yamada collaborates with scholars based in Japan, United States and France. Taketo Yamada's co-authors include Shigeo Koyasu, Masashi Ohtani, Tsutomu Takeuchi, M. Tanabe, Kazuyo Moro, Hideki Fujii, Tomokatsu Ikawa, Hiroshi Kawamoto, Masayuki Amagai and Masahiro Kizaki and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Taketo Yamada

172 papers receiving 7.3k citations

Hit Papers

Innate production of TH2 ... 2009 2026 2014 2020 2009 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Taketo Yamada 2.7k 2.1k 1.7k 1.2k 777 177 7.4k
Robert L. Reddick 1.9k 0.7× 2.3k 1.1× 2.1k 1.3× 1.3k 1.0× 693 0.9× 148 8.9k
Kunihiro Yamaoka 2.5k 0.9× 1.4k 0.7× 593 0.4× 1.6k 1.3× 568 0.7× 206 7.2k
A. J. H. Gearing 2.9k 1.1× 2.9k 1.4× 775 0.5× 2.0k 1.6× 517 0.7× 90 10.0k
Aida Habtezion 2.3k 0.9× 2.2k 1.0× 2.5k 1.5× 1.9k 1.6× 434 0.6× 105 7.2k
Peter Petzelbauer 1.8k 0.7× 2.0k 1.0× 521 0.3× 1.4k 1.1× 596 0.8× 146 6.1k
Matthias Clauss 2.4k 0.9× 4.8k 2.3× 971 0.6× 1.1k 0.9× 393 0.5× 107 9.3k
Paul J. Higgins 1.1k 0.4× 4.0k 1.9× 835 0.5× 1.2k 0.9× 626 0.8× 225 8.5k
Ursula Fearon 3.0k 1.1× 2.7k 1.3× 552 0.3× 1.3k 1.0× 377 0.5× 164 8.3k
G Steiner 3.6k 1.3× 3.9k 1.8× 626 0.4× 2.1k 1.7× 831 1.1× 285 11.7k
Ming Zhao 3.7k 1.4× 3.7k 1.8× 460 0.3× 901 0.7× 704 0.9× 240 8.7k

Countries citing papers authored by Taketo Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Taketo Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taketo Yamada

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