Y. Takemoto

158 total papers · 6.3k total citations
32 papers, 710 citations indexed

About

Y. Takemoto is a scholar working on Surgery, Molecular Biology and Immunology. According to data from OpenAlex, Y. Takemoto has authored 32 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Y. Takemoto's work include Immune Response and Inflammation (7 papers), Coronary Interventions and Diagnostics (5 papers) and Dark Matter and Cosmic Phenomena (5 papers). Y. Takemoto is often cited by papers focused on Immune Response and Inflammation (7 papers), Coronary Interventions and Diagnostics (5 papers) and Dark Matter and Cosmic Phenomena (5 papers). Y. Takemoto collaborates with scholars based in Japan, United States and Russia. Y. Takemoto's co-authors include Takumi Taniguchi, Hiroko Kanakura, Manabu Horii, Ken Yamamoto, Hiroyuki Kawata, Yoshihiko Saito, Shiro Uemura, Yukiji Takeda, Kenji Onoue and Satoshi Somekawa and has published in prestigious journals such as Circulation, The Journal of Immunology and Journal of the American College of Cardiology.

In The Last Decade

Y. Takemoto

29 papers receiving 694 citations

Author Peers

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

Author						Papers	Cites
Y. Takemoto	165	149	124	123	98	32	710
Boris Rogachev	129 0.8×	162 1.1×	118 1.0×	53 0.4×	148 1.5×	44	827
Elena M. Egorina	207 1.3×	107 0.7×	135 1.1×	96 0.8×	88 0.9×	23	835
Inmaculada Noguera	247 1.5×	83 0.6×	111 0.9×	68 0.6×	53 0.5×	32	739
Edward A. Ganio	315 1.9×	176 1.2×	259 2.1×	75 0.6×	53 0.5×	19	868
Dominik Kentrup	224 1.4×	143 1.0×	61 0.5×	84 0.7×	196 2.0×	29	838
Shinya Tsuchida	178 1.1×	136 0.9×	32 0.3×	178 1.4×	355 3.6×	44	897
Uta Hillebrand	248 1.5×	123 0.8×	59 0.5×	149 1.2×	125 1.3×	25	897
Han Huang	113 0.7×	167 1.1×	40 0.3×	49 0.4×	41 0.4×	37	654
F. Feihl	82 0.5×	131 0.9×	61 0.5×	171 1.4×	314 3.2×	31	743
Daniel Schock‐Kusch	147 0.9×	78 0.5×	41 0.3×	74 0.6×	98 1.0×	17	700

Countries citing papers authored by Y. Takemoto

Since Specialization

Citations

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

Fields of papers citing papers by Y. Takemoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Takemoto

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