Ritsuko Suyama

16 total papers · 693 total citations
14 papers, 543 citations indexed

About

Ritsuko Suyama is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Ritsuko Suyama has authored 14 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Physiology. Recurrent topics in Ritsuko Suyama's work include Asthma and respiratory diseases (3 papers), RNA Research and Splicing (3 papers) and Protist diversity and phylogeny (2 papers). Ritsuko Suyama is often cited by papers focused on Asthma and respiratory diseases (3 papers), RNA Research and Splicing (3 papers) and Protist diversity and phylogeny (2 papers). Ritsuko Suyama collaborates with scholars based in Japan, Germany and United Kingdom. Ritsuko Suyama's co-authors include Nicholas M. Luscombe, Jop Kind, Asifa Akhtar, Juan M. Vaquerizas, Kota Miura, Naotaka Hamasaki, Mina Akaiwa, Kazuhiko Arima, Bin Yu and Taro Shirakawa and has published in prestigious journals such as The Journal of Cell Biology, Development and Scientific Reports.

In The Last Decade

Ritsuko Suyama

14 papers receiving 535 citations

Author Peers

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

Author Last Decade Papers Cites
Ritsuko Suyama 272 164 156 66 52 14 543
Jason Yasenchak 193 0.7× 100 0.6× 174 1.1× 98 1.5× 78 1.5× 7 534
Assel Biyasheva 181 0.7× 137 0.8× 168 1.1× 116 1.8× 41 0.8× 11 602
Cecília J. de Almeida 261 1.0× 76 0.5× 111 0.7× 38 0.6× 30 0.6× 10 555
Anders Millner 130 0.5× 167 1.0× 105 0.7× 119 1.8× 45 0.9× 16 484
Hadar Reichman 135 0.5× 315 1.9× 126 0.8× 39 0.6× 35 0.7× 17 574
Tony Chu 171 0.6× 92 0.6× 191 1.2× 26 0.4× 38 0.7× 10 515
Masashi Kurimoto 227 0.8× 298 1.8× 28 0.2× 70 1.1× 39 0.8× 10 519
Sanny K. Chan 99 0.4× 122 0.7× 90 0.6× 208 3.2× 79 1.5× 12 501
Yoko Tanigawa 273 1.0× 101 0.6× 66 0.4× 20 0.3× 12 0.2× 16 518
Irene Klein 217 0.8× 225 1.4× 70 0.4× 48 0.7× 41 0.8× 15 559

Countries citing papers authored by Ritsuko Suyama

Since Specialization
Citations

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

Fields of papers citing papers by Ritsuko Suyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritsuko Suyama

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