Akihiro Sugai

49 total papers · 635 total citations
22 papers, 456 citations indexed

About

Akihiro Sugai is a scholar working on Epidemiology, Neurology and Infectious Diseases. According to data from OpenAlex, Akihiro Sugai has authored 22 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Neurology and 7 papers in Infectious Diseases. Recurrent topics in Akihiro Sugai's work include Virology and Viral Diseases (10 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Viral Infections and Vectors (4 papers). Akihiro Sugai is often cited by papers focused on Virology and Viral Diseases (10 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Viral Infections and Vectors (4 papers). Akihiro Sugai collaborates with scholars based in Japan. Akihiro Sugai's co-authors include Misako Yoneda, Chieko Kai, Hiroki Sato, Osamu Onodera, Takuya Konno, Taisuke Kato, Akio Yokoseki, Tomohiko Ishihara, Masatoyo Nishizawa and Atsushi Shiga and has published in prestigious journals such as Nucleic Acids Research, Neurology and Journal of Virology.

In The Last Decade

Akihiro Sugai

21 papers receiving 452 citations

Author Peers

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

Author Last Decade Papers Cites
Akihiro Sugai 176 166 146 117 113 22 456
Sharon Tamir 90 0.5× 120 0.7× 301 2.1× 74 0.6× 112 1.0× 25 519
S Hawke 145 0.8× 62 0.4× 88 0.6× 40 0.3× 65 0.6× 18 435
Johannes Lampe 76 0.4× 145 0.9× 186 1.3× 38 0.3× 51 0.5× 17 422
B. R. H. Farrow 74 0.4× 100 0.6× 121 0.8× 27 0.2× 60 0.5× 39 517
J. F. Moura Nunes 60 0.3× 111 0.7× 93 0.6× 41 0.4× 68 0.6× 27 547
Fanhua Wei 64 0.4× 97 0.6× 169 1.2× 17 0.1× 71 0.6× 19 420
Shunsuke Takenaka 57 0.3× 123 0.7× 80 0.5× 85 0.7× 36 0.3× 26 483
Zhilong Chen 25 0.1× 126 0.8× 182 1.2× 61 0.5× 44 0.4× 25 414
Parul Kapil 45 0.3× 141 0.8× 139 1.0× 21 0.2× 100 0.9× 14 521
Thomas Lester 25 0.1× 112 0.7× 116 0.8× 35 0.3× 85 0.8× 19 480

Countries citing papers authored by Akihiro Sugai

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Sugai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Sugai

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