Makoto Takei

183 total papers · 2.4k total citations
119 papers, 1.6k citations indexed

About

Makoto Takei is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Makoto Takei has authored 119 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cardiology and Cardiovascular Medicine, 24 papers in Pulmonary and Respiratory Medicine and 19 papers in Molecular Biology. Recurrent topics in Makoto Takei's work include Heart Failure Treatment and Management (40 papers), Cardiovascular Function and Risk Factors (20 papers) and Pulmonary Hypertension Research and Treatments (12 papers). Makoto Takei is often cited by papers focused on Heart Failure Treatment and Management (40 papers), Cardiovascular Function and Risk Factors (20 papers) and Pulmonary Hypertension Research and Treatments (12 papers). Makoto Takei collaborates with scholars based in Japan, United States and Hungary. Makoto Takei's co-authors include Yasuyuki Shiraishi, Motoaki Sano, Yoshihiko Suzuki, Ming‐Rong Zhang, Kazunori Kawamura, Tomoteru Yamasaki, Joji Yui, Akiko Hatori, Keiichi Fukuda and Shun Kohsaka and has published in prestigious journals such as Circulation, Nature Communications and Journal of Neuroscience.

In The Last Decade

Makoto Takei

113 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Makoto Takei 428 353 266 240 211 119 1.6k
Giulio A. Cinotti 367 0.9× 431 1.2× 227 0.9× 144 0.6× 187 0.9× 70 2.0k
Peter C. Brazy 298 0.7× 499 1.4× 171 0.6× 191 0.8× 259 1.2× 53 1.8k
Recep Demirbağ 587 1.4× 223 0.6× 149 0.6× 188 0.8× 230 1.1× 120 1.6k
W. R. Adam 350 0.8× 589 1.7× 388 1.5× 127 0.5× 383 1.8× 131 2.4k
Demetrios Vlahakos 383 0.9× 392 1.1× 128 0.5× 198 0.8× 155 0.7× 71 1.8k
R.G. Shanks 991 2.3× 534 1.5× 269 1.0× 137 0.6× 297 1.4× 84 2.4k
Joseph Cheriyan 566 1.3× 434 1.2× 200 0.8× 122 0.5× 369 1.7× 80 2.0k
Young Ju Suh 201 0.5× 300 0.8× 246 0.9× 148 0.6× 286 1.4× 135 1.9k
Ming Liu 313 0.7× 263 0.7× 122 0.5× 120 0.5× 147 0.7× 98 2.3k
Jawahar L. Mehta 628 1.5× 644 1.8× 210 0.8× 167 0.7× 499 2.4× 95 2.4k

Countries citing papers authored by Makoto Takei

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Takei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Takei

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Takei. A scholar is included among the top collaborators of Makoto Takei 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 Makoto Takei. Makoto Takei 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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2026