Jun Takahashi

340 total papers · 5.8k total citations
197 papers, 4.2k citations indexed

About

Jun Takahashi is a scholar working on Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Takahashi has authored 197 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Surgery, 46 papers in Molecular Biology and 37 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Takahashi's work include Heart Failure Treatment and Management (20 papers), Scoliosis diagnosis and treatment (20 papers) and Cardiovascular Function and Risk Factors (19 papers). Jun Takahashi is often cited by papers focused on Heart Failure Treatment and Management (20 papers), Scoliosis diagnosis and treatment (20 papers) and Cardiovascular Function and Risk Factors (19 papers). Jun Takahashi collaborates with scholars based in Japan, United States and China. Jun Takahashi's co-authors include Nobuo Hashimoto, Hiroaki Shimokawa, Satoshi Miyata, Yasuhiko Sakata, Kotaro Nochioka, Masanobu Miura, Hiroshi Horiuchi, Kunio Takaoka, Narumichi Murakami and Takao Okada and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Jun Takahashi

183 papers receiving 4.1k citations

Author Peers

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

Author Last Decade Papers Cites
Jun Takahashi 1.2k 788 757 491 427 197 4.2k
Gerhard Walter 756 0.6× 447 0.6× 797 1.1× 494 1.0× 446 1.0× 147 3.1k
Juan P. Cata 926 0.8× 638 0.8× 2.0k 2.7× 836 1.7× 389 0.9× 240 6.4k
Shaohua Wang 849 0.7× 691 0.9× 622 0.8× 201 0.4× 202 0.5× 206 3.9k
Andriy Yabluchanskiy 2.0k 1.6× 1.4k 1.7× 535 0.7× 233 0.5× 815 1.9× 167 6.7k
Carlos B. Mantilla 1.4k 1.2× 734 0.9× 1.8k 2.3× 685 1.4× 273 0.6× 179 6.5k
Tsutomu Araki 1.1k 0.9× 1.7k 2.2× 711 0.9× 465 0.9× 171 0.4× 139 4.7k
Wei Zhu 2.3k 1.9× 320 0.4× 869 1.1× 539 1.1× 1.3k 2.9× 289 6.7k
Yasuo Katayama 1.3k 1.1× 471 0.6× 1.9k 2.5× 704 1.4× 987 2.3× 212 6.4k
Rudolf Kirchmair 2.7k 2.2× 827 1.0× 1.1k 1.4× 1.3k 2.7× 413 1.0× 114 6.1k
J. W. Hopewell 762 0.6× 401 0.5× 897 1.2× 232 0.5× 476 1.1× 234 6.6k

Countries citing papers authored by Jun Takahashi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Takahashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Takahashi

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