Tetsuya Fukuda

200 total papers · 4.1k total citations
137 papers, 3.2k citations indexed

About

Tetsuya Fukuda is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Tetsuya Fukuda has authored 137 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 26 papers in Genetics and 25 papers in Hematology. Recurrent topics in Tetsuya Fukuda's work include Chronic Lymphocytic Leukemia Research (21 papers), Chronic Myeloid Leukemia Treatments (11 papers) and Immune Cell Function and Interaction (10 papers). Tetsuya Fukuda is often cited by papers focused on Chronic Lymphocytic Leukemia Research (21 papers), Chronic Myeloid Leukemia Treatments (11 papers) and Immune Cell Function and Interaction (10 papers). Tetsuya Fukuda collaborates with scholars based in Japan, United States and Sweden. Tetsuya Fukuda's co-authors include Hiromi Tobita, Hisako Hashimoto, Tohru Miki, Thomas J. Kipps, Takeshi Tokuhisa, Seiji Okada, Masahiko Hatano, Osamu Miura, Shinsaku Hirosawa and Nobuyuki Miyasaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Tetsuya Fukuda

122 papers receiving 3.2k citations

Author Peers

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

Author Last Decade Papers Cites
Tetsuya Fukuda 1.2k 831 526 490 410 137 3.2k
Yoko Aoki 2.9k 2.5× 886 1.1× 576 1.1× 253 0.5× 252 0.6× 170 4.8k
Andree Blaukat 2.1k 1.8× 357 0.4× 801 1.5× 478 1.0× 408 1.0× 94 3.5k
Yasuhisa Fukui 3.4k 2.9× 459 0.6× 802 1.5× 230 0.5× 252 0.6× 85 4.5k
Tohru Sugimoto 1.7k 1.4× 329 0.4× 589 1.1× 150 0.3× 241 0.6× 192 3.6k
Akio Asai 2.3k 2.0× 433 0.5× 902 1.7× 903 1.8× 359 0.9× 145 4.6k
Sven Hermann 1.1k 0.9× 536 0.6× 463 0.9× 128 0.3× 189 0.5× 125 3.4k
Federica Barbieri 1.8k 1.6× 596 0.7× 1.7k 3.1× 611 1.2× 197 0.5× 111 4.2k
Serge Roche 3.1k 2.7× 508 0.6× 1.0k 1.9× 345 0.7× 347 0.8× 92 4.4k
Reinhard Wetzker 1.9k 1.6× 666 0.8× 377 0.7× 252 0.5× 236 0.6× 96 3.3k
Lee F. Allen 2.5k 2.1× 315 0.4× 671 1.3× 267 0.5× 775 1.9× 58 4.3k

Countries citing papers authored by Tetsuya Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Fukuda

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