Takehiro Matsumoto

156 total papers · 2.6k total citations
69 papers, 1.9k citations indexed

About

Takehiro Matsumoto is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Takehiro Matsumoto has authored 69 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 16 papers in Epidemiology and 14 papers in Molecular Biology. Recurrent topics in Takehiro Matsumoto's work include Heart Failure Treatment and Management (13 papers), Nitric Oxide and Endothelin Effects (10 papers) and Cardiovascular Function and Risk Factors (9 papers). Takehiro Matsumoto is often cited by papers focused on Heart Failure Treatment and Management (13 papers), Nitric Oxide and Endothelin Effects (10 papers) and Cardiovascular Function and Risk Factors (9 papers). Takehiro Matsumoto collaborates with scholars based in Japan, China and Germany. Takehiro Matsumoto's co-authors include Atsuyuki Wada, Masato Ohnishi, Takayoshi Tsutamoto, Masahiko Kinoshita, Masanori Fujii, Takashi Tsutsui, Masaru Hayashi, Naoko Mabuchi, Masahide Sawaki and Keiko Maeda and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Cancer.

In The Last Decade

Takehiro Matsumoto

60 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Takehiro Matsumoto 1.1k 418 332 322 278 69 1.9k
Fiona J. Warner 606 0.6× 398 1.0× 524 1.6× 459 1.4× 243 0.9× 37 2.1k
Hongwei Zhao 521 0.5× 434 1.0× 262 0.8× 219 0.7× 363 1.3× 119 1.9k
Matthias Frick 725 0.7× 290 0.7× 347 1.0× 90 0.3× 496 1.8× 67 1.8k
Rola Saouaf 675 0.6× 407 1.0× 288 0.9× 299 0.9× 350 1.3× 56 2.1k
Shinae Kang 710 0.7× 705 1.7× 548 1.7× 831 2.6× 443 1.6× 75 2.6k
Pedro Moreno 446 0.4× 491 1.2× 395 1.2× 102 0.3× 374 1.3× 78 1.7k
Sanjeev Francis 957 0.9× 236 0.6× 289 0.9× 121 0.4× 472 1.7× 47 2.5k
Pia Clara Pafundi 375 0.4× 529 1.3× 369 1.1× 540 1.7× 238 0.9× 75 1.6k
Norihito Moniwa 807 0.8× 684 1.6× 551 1.7× 513 1.6× 233 0.8× 59 2.0k
Karen Douglas 495 0.5× 258 0.6× 317 1.0× 89 0.3× 215 0.8× 69 2.7k

Countries citing papers authored by Takehiro Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by Takehiro Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiro Matsumoto

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