Takuya Hashimoto

111 total papers · 733 total citations
63 papers, 469 citations indexed

About

Takuya Hashimoto is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Takuya Hashimoto has authored 63 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 22 papers in Pulmonary and Respiratory Medicine and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Takuya Hashimoto's work include Coronary Interventions and Diagnostics (23 papers), Lipoproteins and Cardiovascular Health (11 papers) and Cardiac Imaging and Diagnostics (8 papers). Takuya Hashimoto is often cited by papers focused on Coronary Interventions and Diagnostics (23 papers), Lipoproteins and Cardiovascular Health (11 papers) and Cardiac Imaging and Diagnostics (8 papers). Takuya Hashimoto collaborates with scholars based in Japan and United States. Takuya Hashimoto's co-authors include Junya Ako, Takao Shimohama, Ryota Kakizaki, Taiki Tojo, Kazuhiro Fujiyoshi, Minako Yamaoka‐Tojo, Kentaro Meguro, Yoshiyasu Minami, S Namba and Takehiro Hashikata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Takuya Hashimoto

57 papers receiving 462 citations

Author Peers

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

Author						Papers	Cites
Takuya Hashimoto	229	177	92	65	51	63	469
Kim Francis Andersen	132 0.6×	126 0.7×	105 1.1×	106 1.6×	77 1.5×	39	472
Mina M. Benjamin	139 0.6×	224 1.3×	62 0.7×	66 1.0×	65 1.3×	45	538
Akira Wakabayashi	103 0.4×	174 1.0×	124 1.3×	84 1.3×	33 0.6×	60	477
Serkan Aslan	140 0.6×	210 1.2×	41 0.4×	51 0.8×	24 0.5×	48	531
L. Fridrich	117 0.5×	263 1.5×	90 1.0×	26 0.4×	84 1.6×	32	532
Łukasz Partyka	226 1.0×	241 1.4×	101 1.1×	136 2.1×	17 0.3×	49	476
Gabriela Borrayo–Sánchez	114 0.5×	233 1.3×	47 0.5×	45 0.7×	48 0.9×	72	452
Jan Skóra	252 1.1×	82 0.5×	37 0.4×	107 1.6×	42 0.8×	57	549
Ana Huelmos	137 0.6×	193 1.1×	35 0.4×	46 0.7×	31 0.6×	44	462
Giovanni Occhipinti	172 0.8×	270 1.5×	80 0.9×	45 0.7×	26 0.5×	30	464

Countries citing papers authored by Takuya Hashimoto

Since Specialization

Citations

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

Fields of papers citing papers by Takuya Hashimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Hashimoto

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