Ken’ichi Takeda

465 total papers · 4.1k total citations
310 papers, 3.1k citations indexed

About

Ken’ichi Takeda is a scholar working on Molecular Biology, Organic Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Ken’ichi Takeda has authored 310 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 70 papers in Organic Chemistry and 42 papers in Electrical and Electronic Engineering. Recurrent topics in Ken’ichi Takeda's work include Steroid Chemistry and Biochemistry (43 papers), Phytochemical Studies and Bioactivities (37 papers) and Semiconductor materials and devices (32 papers). Ken’ichi Takeda is often cited by papers focused on Steroid Chemistry and Biochemistry (43 papers), Phytochemical Studies and Bioactivities (37 papers) and Semiconductor materials and devices (32 papers). Ken’ichi Takeda collaborates with scholars based in Japan, United States and Egypt. Ken’ichi Takeda's co-authors include Isao Horibe, Hitoshi Minato, Itaru Yanagi, Shujiro Seo, Rena Akahori, Atsuko Uomori, Hisao Ishii, Hideo Minato, K. Hinode and Yohko Yoshimura and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Applied Physics Letters.

In The Last Decade

Ken’ichi Takeda

291 papers receiving 2.9k citations

Author Peers

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

Author Last Decade Papers Cites
Ken’ichi Takeda 1.1k 707 447 308 297 310 3.1k
Tiantian Chen 1.5k 1.4× 435 0.6× 490 1.1× 551 1.8× 284 1.0× 188 4.0k
Bin Yang 1.4k 1.2× 812 1.1× 308 0.7× 477 1.5× 252 0.8× 285 4.3k
Lili Shi 1.6k 1.5× 401 0.6× 462 1.0× 678 2.2× 362 1.2× 196 4.4k
Lu Liu 2.1k 1.9× 408 0.6× 317 0.7× 523 1.7× 824 2.8× 366 5.5k
Mitsuo Takahashi 1.1k 1.0× 347 0.5× 260 0.6× 371 1.2× 189 0.6× 234 3.9k
Jianyong Li 2.0k 1.8× 241 0.3× 253 0.6× 262 0.9× 443 1.5× 197 4.4k
Akio Nakamura 1.1k 1.0× 381 0.5× 281 0.6× 271 0.9× 200 0.7× 312 4.5k
Sérgio F. Sousa 2.4k 2.1× 987 1.4× 179 0.4× 260 0.8× 219 0.7× 158 4.8k
Jong Hun Lee 1.7k 1.5× 205 0.3× 292 0.7× 439 1.4× 315 1.1× 180 4.0k
Hirokazu Suzuki 2.2k 2.0× 304 0.4× 621 1.4× 205 0.7× 557 1.9× 258 5.0k

Countries citing papers authored by Ken’ichi Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Ken’ichi Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken’ichi Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Ken’ichi Takeda. A scholar is included among the top collaborators of Ken’ichi 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 Ken’ichi Takeda. Ken’ichi 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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2026