Sho Saito

126 total papers · 2.5k total citations
59 papers, 1.0k citations indexed

About

Sho Saito is a scholar working on Infectious Diseases, Neurology and Epidemiology. According to data from OpenAlex, Sho Saito has authored 59 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Infectious Diseases, 13 papers in Neurology and 10 papers in Epidemiology. Recurrent topics in Sho Saito's work include COVID-19 Clinical Research Studies (26 papers), SARS-CoV-2 and COVID-19 Research (14 papers) and Long-Term Effects of COVID-19 (13 papers). Sho Saito is often cited by papers focused on COVID-19 Clinical Research Studies (26 papers), SARS-CoV-2 and COVID-19 Research (14 papers) and Long-Term Effects of COVID-19 (13 papers). Sho Saito collaborates with scholars based in Japan, Belgium and United States. Sho Saito's co-authors include Kenichi Nishiyama, Yoshiyuki Hirano, Masami Niwa, Masafumi Fujita, Kiichi Watanabe, Minoru Onozuka, Norio Ohmagari, Kayoko Hayakawa, Shinya Tsuzuki and Mari Terada and has published in prestigious journals such as PLoS ONE, Scientific Reports and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Sho Saito

53 papers receiving 983 citations

Author Peers

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

Author Last Decade Papers Cites
Sho Saito 254 246 168 132 120 59 1.0k
Nikolaos Nikitas Giannakopoulos 176 0.7× 28 0.1× 493 2.9× 178 1.3× 61 0.5× 62 1.0k
Ramesh Balasubramaniam 146 0.6× 44 0.2× 169 1.0× 285 2.2× 119 1.0× 56 910
Massimiliano Orso 185 0.7× 27 0.1× 53 0.3× 98 0.7× 82 0.7× 44 999
Martina Ferrillo 375 1.5× 39 0.2× 325 1.9× 235 1.8× 94 0.8× 55 1.1k
Hiroyuki Karibe 140 0.6× 15 0.1× 240 1.4× 160 1.2× 115 1.0× 54 976
Guillaume Sacco 110 0.4× 201 0.8× 4 0.0× 84 0.6× 54 0.5× 55 992
Claudio Curci 294 1.2× 45 0.2× 50 0.3× 121 0.9× 9 0.1× 42 868
Haydar Sur 122 0.5× 44 0.2× 13 0.1× 119 0.9× 203 1.7× 53 1.1k
Shariq Ali Khan 106 0.4× 112 0.5× 4 0.0× 285 2.2× 224 1.9× 32 1.1k
Mario Giannoni 76 0.3× 9 0.0× 212 1.3× 133 1.0× 210 1.8× 47 821

Countries citing papers authored by Sho Saito

Since Specialization
Citations

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

Fields of papers citing papers by Sho Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sho Saito

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