Rika Suda

59 total papers · 564 total citations
39 papers, 369 citations indexed

About

Rika Suda is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Rika Suda has authored 39 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 20 papers in Cardiology and Cardiovascular Medicine and 7 papers in Genetics. Recurrent topics in Rika Suda's work include Pulmonary Hypertension Research and Treatments (31 papers), Cardiovascular Function and Risk Factors (8 papers) and Vascular Anomalies and Treatments (7 papers). Rika Suda is often cited by papers focused on Pulmonary Hypertension Research and Treatments (31 papers), Cardiovascular Function and Risk Factors (8 papers) and Vascular Anomalies and Treatments (7 papers). Rika Suda collaborates with scholars based in Japan and Netherlands. Rika Suda's co-authors include Koichiro Tatsumi, Seiichiro Sakao, Nobuhiro Tanabe, Ayumi Sekine, Rintaro Nishimura, Takayuki Jujo, Toshihiko Sugiura, Akira Naito, Ayako Shigeta and Hajime Kasai and has published in prestigious journals such as PLoS ONE, Journal of Thoracic and Cardiovascular Surgery and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Rika Suda

35 papers receiving 367 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 Suda 263 134 102 54 44 39 369
Ayumi Sekine 285 1.1× 143 1.1× 109 1.1× 54 1.0× 32 0.7× 36 396
Changming Xiong 296 1.1× 202 1.5× 59 0.6× 50 0.9× 32 0.7× 30 435
Ignacio Hernández‐González 240 0.9× 140 1.0× 65 0.6× 40 0.7× 46 1.0× 46 435
Xi‐Qi Xu 307 1.2× 177 1.3× 46 0.5× 86 1.6× 16 0.4× 24 358
Felix Gerhardt 292 1.1× 226 1.7× 39 0.4× 38 0.7× 13 0.3× 28 409
E. Regañón 116 0.4× 65 0.5× 47 0.5× 32 0.6× 23 0.5× 29 414
Steffen D. Kriechbaum 228 0.9× 223 1.7× 57 0.6× 36 0.7× 8 0.2× 28 334
Aaron W. Trammell 355 1.3× 201 1.5× 77 0.8× 29 0.5× 13 0.3× 21 412
Jian Guo 294 1.1× 124 0.9× 71 0.7× 21 0.4× 36 0.8× 36 417
Satenik Harutyunova 396 1.5× 236 1.8× 38 0.4× 44 0.8× 8 0.2× 33 439

Countries citing papers authored by Rika Suda

Since Specialization
Citations

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

Fields of papers citing papers by Rika Suda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Suda

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