Yasuhiro Takeda

163 total papers · 2.2k total citations
104 papers, 1.6k citations indexed

About

Yasuhiro Takeda is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Yasuhiro Takeda has authored 104 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Surgery and 16 papers in Physiology. Recurrent topics in Yasuhiro Takeda's work include Muscle metabolism and nutrition (13 papers), Infant Nutrition and Health (10 papers) and Colorectal Cancer Surgical Treatments (8 papers). Yasuhiro Takeda is often cited by papers focused on Muscle metabolism and nutrition (13 papers), Infant Nutrition and Health (10 papers) and Colorectal Cancer Surgical Treatments (8 papers). Yasuhiro Takeda collaborates with scholars based in Japan, Bulgaria and China. Yasuhiro Takeda's co-authors include Hirohisa Izumi, Hiroshi Iwamoto, Kazuyoshi Namba, Muneya Tsuda, Yohei Sato, Nobuyoshi Kosaka, Takahiro Ochiya, Yasuaki Wada, Hiroshi Nakase and Norimitsu Uza and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yasuhiro Takeda

94 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Yasuhiro Takeda 585 248 241 232 207 104 1.6k
Jieru E. Lin 699 1.2× 157 0.6× 265 1.1× 230 1.0× 297 1.4× 69 1.8k
Kun Yu 651 1.1× 212 0.9× 193 0.8× 251 1.1× 197 1.0× 86 2.1k
Hui Jiang 897 1.5× 217 0.9× 321 1.3× 325 1.4× 237 1.1× 110 2.2k
Youli Wang 777 1.3× 433 1.7× 226 0.9× 220 0.9× 295 1.4× 96 2.2k
Rui Tian 590 1.0× 215 0.9× 173 0.7× 351 1.5× 368 1.8× 99 1.9k
Luis G. Guijarro 935 1.6× 169 0.7× 268 1.1× 280 1.2× 274 1.3× 127 2.2k
David H. Barkla 695 1.2× 133 0.5× 204 0.8× 196 0.8× 352 1.7× 64 1.8k
Angela Catizone 725 1.2× 119 0.5× 300 1.2× 230 1.0× 185 0.9× 88 1.7k
Jianhua Zhao 1.0k 1.8× 209 0.8× 227 0.9× 265 1.1× 279 1.3× 69 2.1k
Liping Liang 884 1.5× 133 0.5× 372 1.5× 201 0.9× 237 1.1× 59 2.0k

Countries citing papers authored by Yasuhiro Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Takeda

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