Takashi Haneda

178 total papers · 2.1k total citations
85 papers, 1.7k citations indexed

About

Takashi Haneda is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Takashi Haneda has authored 85 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 19 papers in Molecular Biology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Takashi Haneda's work include Cardiac electrophysiology and arrhythmias (11 papers), Cardiovascular Function and Risk Factors (9 papers) and Cardiac pacing and defibrillation studies (9 papers). Takashi Haneda is often cited by papers focused on Cardiac electrophysiology and arrhythmias (11 papers), Cardiovascular Function and Risk Factors (9 papers) and Cardiac pacing and defibrillation studies (9 papers). Takashi Haneda collaborates with scholars based in Japan, United States and India. Takashi Haneda's co-authors include Kenjiro Kikuchi, Yuji Tsutsumi, Takahiro Nishida, Setsuya Miyata, K Yamanishi, Yasutomo Imai, Junzo Osaki, Yoshiko Sakaguchi, Koubun Yasuda and Tomohiro Yoshimoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Takashi Haneda

80 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Takashi Haneda 587 443 344 294 256 85 1.7k
Jing Chen 238 0.4× 925 2.1× 261 0.8× 242 0.8× 199 0.8× 96 2.2k
Dale A. Schuschke 189 0.3× 347 0.8× 132 0.4× 233 0.8× 307 1.2× 85 1.9k
Ming Zhong 242 0.4× 890 2.0× 263 0.8× 180 0.6× 208 0.8× 121 1.9k
Hitoshi Ueno 505 0.9× 592 1.3× 115 0.3× 128 0.4× 112 0.4× 130 1.8k
Aleksandra Piotrowska 98 0.2× 808 1.8× 260 0.8× 134 0.5× 110 0.4× 138 2.0k
Elena Donetti 197 0.3× 787 1.8× 264 0.8× 490 1.7× 265 1.0× 73 1.9k
Takeshi Yoshimoto 114 0.2× 467 1.1× 334 1.0× 143 0.5× 81 0.3× 121 1.9k
Yan Han 376 0.6× 701 1.6× 116 0.3× 163 0.6× 124 0.5× 105 1.9k
Juan Zhou 283 0.5× 610 1.4× 421 1.2× 204 0.7× 194 0.8× 115 2.2k
Jun He 311 0.5× 450 1.0× 129 0.4× 235 0.8× 93 0.4× 70 1.8k

Countries citing papers authored by Takashi Haneda

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Haneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Haneda

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