Tomohisa Nezu

136 total papers · 2.1k total citations
88 papers, 1.2k citations indexed

About

Tomohisa Nezu is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tomohisa Nezu has authored 88 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Epidemiology, 34 papers in Pulmonary and Respiratory Medicine and 24 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tomohisa Nezu's work include Acute Ischemic Stroke Management (42 papers), Cerebrovascular and Carotid Artery Diseases (27 papers) and Intracerebral and Subarachnoid Hemorrhage Research (10 papers). Tomohisa Nezu is often cited by papers focused on Acute Ischemic Stroke Management (42 papers), Cerebrovascular and Carotid Artery Diseases (27 papers) and Intracerebral and Subarachnoid Hemorrhage Research (10 papers). Tomohisa Nezu collaborates with scholars based in Japan, United States and United Kingdom. Tomohisa Nezu's co-authors include Naohisa Hosomi, Shiro Aoki, Masayasu Matsumoto, Hirofumi Maruyama, Kazuo Minematsu, Ḱazunori Toyoda, Hiroki Ueno, Masatoshi Koga, Kazumi Kimura and Naoto Kinoshita and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Tomohisa Nezu

85 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Tomohisa Nezu 523 427 365 227 168 88 1.2k
Shiro Aoki 331 0.6× 280 0.7× 290 0.8× 150 0.7× 171 1.0× 97 1.0k
Tomotaka Tanaka 275 0.5× 189 0.4× 277 0.8× 188 0.8× 187 1.1× 98 1.3k
Céline Guidoux 985 1.9× 619 1.4× 253 0.7× 423 1.9× 35 0.2× 45 1.5k
Jei Kim 502 1.0× 649 1.5× 287 0.8× 366 1.6× 37 0.2× 50 1.3k
Chyi-Huey Bai 221 0.4× 211 0.5× 297 0.8× 102 0.4× 149 0.9× 48 1.4k
Qian Jia 594 1.1× 257 0.6× 405 1.1× 146 0.6× 107 0.6× 60 1.4k
Shoujiang You 630 1.2× 217 0.5× 184 0.5× 344 1.5× 119 0.7× 98 1.5k
Shinichi Wakabayashi 170 0.3× 140 0.3× 236 0.6× 319 1.4× 100 0.6× 75 972
Jay Chol Choi 288 0.6× 216 0.5× 177 0.5× 482 2.1× 47 0.3× 84 1.0k
Myron Mavrikakis 286 0.5× 185 0.4× 363 1.0× 190 0.8× 87 0.5× 39 1.2k

Countries citing papers authored by Tomohisa Nezu

Since Specialization
Citations

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

Fields of papers citing papers by Tomohisa Nezu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohisa Nezu

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