Takuya Miyahara

61 total papers · 728 total citations
40 papers, 541 citations indexed

About

Takuya Miyahara is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Takuya Miyahara has authored 40 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 16 papers in Pulmonary and Respiratory Medicine and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Takuya Miyahara's work include Peripheral Artery Disease Management (10 papers), Aortic aneurysm repair treatments (8 papers) and Venous Thromboembolism Diagnosis and Management (7 papers). Takuya Miyahara is often cited by papers focused on Peripheral Artery Disease Management (10 papers), Aortic aneurysm repair treatments (8 papers) and Venous Thromboembolism Diagnosis and Management (7 papers). Takuya Miyahara collaborates with scholars based in Japan, United States and United Kingdom. Takuya Miyahara's co-authors include Tetsuro Miyata, Kunihiro Shigematsu, Katsuyuki Hoshina, Hirokazu Nagawa, Akihiro Hosaka, Michael S. Conte, Shigeyuki Ishii, Giorgio Mottola, Mian Chen and Anuran Chatterjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and The FASEB Journal.

In The Last Decade

Takuya Miyahara

37 papers receiving 519 citations

Author Peers

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

Author Last Decade Papers Cites
Takuya Miyahara 221 213 126 91 77 40 541
Erik Stoffersen 85 0.4× 109 0.5× 140 1.1× 50 0.5× 103 1.3× 24 549
Bjarne Myrup 61 0.3× 62 0.3× 96 0.8× 104 1.1× 20 0.3× 23 526
Oğuz Karahan 144 0.7× 173 0.8× 218 1.7× 8 0.1× 105 1.4× 76 619
Łukasz Partyka 136 0.6× 226 1.1× 241 1.9× 21 0.2× 25 0.3× 49 476
Anand Prasad 216 1.0× 330 1.5× 118 0.9× 23 0.3× 47 0.6× 39 604
Mehmet Tuğrul İnanç 120 0.5× 106 0.5× 218 1.7× 9 0.1× 34 0.4× 45 487
Wei Wu 180 0.8× 163 0.8× 120 1.0× 18 0.2× 29 0.4× 48 613
B. Imbert 88 0.4× 114 0.5× 70 0.6× 10 0.1× 115 1.5× 37 473
Akimichi Iwamoto 69 0.3× 151 0.7× 239 1.9× 23 0.3× 15 0.2× 24 522
Yaacov Bar‐Khayim 82 0.4× 93 0.4× 82 0.7× 27 0.3× 5 0.1× 41 593

Countries citing papers authored by Takuya Miyahara

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Miyahara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Miyahara

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