Rika Kawakami

171 total papers · 3.2k total citations
93 papers, 2.3k citations indexed

About

Rika Kawakami is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Rika Kawakami has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Cardiology and Cardiovascular Medicine, 18 papers in Molecular Biology and 16 papers in Epidemiology. Recurrent topics in Rika Kawakami's work include Heart Failure Treatment and Management (34 papers), Cardiovascular Function and Risk Factors (15 papers) and Tuberculosis Research and Epidemiology (10 papers). Rika Kawakami is often cited by papers focused on Heart Failure Treatment and Management (34 papers), Cardiovascular Function and Risk Factors (15 papers) and Tuberculosis Research and Epidemiology (10 papers). Rika Kawakami collaborates with scholars based in Japan, New Zealand and United States. Rika Kawakami's co-authors include Yoshihiko Saito, Desmond M. Collins, Masaki Harada, Koichiro Kuwahara, Nobuki Takahashi, Satoshi Okayama, Ichiro Kishimoto, William R. Jacobs, Barry R. Bloom and Kazuwa Nakao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Rika Kawakami

93 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Rika Kawakami 1.1k 765 455 379 285 93 2.3k
Yi‐Juan Hu 610 0.6× 834 1.1× 423 0.9× 294 0.8× 254 0.9× 88 2.5k
Antonio Cannatà 1.1k 1.0× 502 0.7× 204 0.4× 417 1.1× 362 1.3× 112 2.4k
Wei‐Ting Chang 733 0.7× 571 0.7× 208 0.5× 127 0.3× 321 1.1× 154 1.9k
Fernándo Domínguez 847 0.8× 666 0.9× 331 0.7× 147 0.4× 332 1.2× 113 2.0k
María G. Barderas 625 0.6× 1.1k 1.4× 330 0.7× 114 0.3× 237 0.8× 123 2.4k
Dan Ye 582 0.5× 1.1k 1.4× 389 0.9× 186 0.5× 599 2.1× 123 2.8k
Richard J. Gumina 867 0.8× 1.1k 1.4× 141 0.3× 726 1.9× 413 1.4× 90 3.1k
Ståle Nygård 529 0.5× 818 1.1× 410 0.9× 140 0.4× 356 1.2× 81 2.2k
M Kawamura 517 0.5× 816 1.1× 357 0.8× 526 1.4× 429 1.5× 121 2.9k
Alessandra Vecchié 709 0.6× 808 1.1× 645 1.4× 671 1.8× 419 1.5× 70 3.0k

Countries citing papers authored by Rika Kawakami

Since Specialization
Citations

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

Fields of papers citing papers by Rika Kawakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Kawakami

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