Kazuhiro Terai

53 total papers · 1.8k total citations
41 papers, 1.4k citations indexed

About

Kazuhiro Terai is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Kazuhiro Terai has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Neurology and 10 papers in Physiology. Recurrent topics in Kazuhiro Terai's work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Alzheimer's disease research and treatments (10 papers) and Neuroscience and Neuropharmacology Research (6 papers). Kazuhiro Terai is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Alzheimer's disease research and treatments (10 papers) and Neuroscience and Neuropharmacology Research (6 papers). Kazuhiro Terai collaborates with scholars based in Japan, Canada and United States. Kazuhiro Terai's co-authors include Patrick L. McGeer, Akinori Matsuo, Douglas G. Walker, Edith G. McGeer, Andrea J. Tenner, Lih‐Fen Lue, Libuse Brachova, Scott D. Webster, Bonnie M. Bradt and Neil R. Cooper and has published in prestigious journals such as Brain Research, Neuroscience and British Journal of Pharmacology.

In The Last Decade

Kazuhiro Terai

39 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Kazuhiro Terai 575 513 492 241 223 41 1.4k
Alessandra Cadete Martini 571 1.0× 669 1.3× 374 0.8× 286 1.2× 173 0.8× 50 1.6k
Jun Zhou 536 0.9× 450 0.9× 429 0.9× 251 1.0× 169 0.8× 25 1.2k
Ernesto R. Gonzales 606 1.1× 393 0.8× 484 1.0× 231 1.0× 128 0.6× 29 1.5k
Sriram Balusu 502 0.9× 678 1.3× 551 1.1× 222 0.9× 200 0.9× 26 1.5k
Vitaliy Gavrilyuk 453 0.8× 659 1.3× 559 1.1× 338 1.4× 301 1.3× 22 1.5k
Chengyu Zou 400 0.7× 779 1.5× 367 0.7× 239 1.0× 342 1.5× 25 1.5k
Tsuyoshi Nishioku 290 0.5× 625 1.2× 653 1.3× 207 0.9× 244 1.1× 43 1.8k
Christian Jung 552 1.0× 643 1.3× 423 0.9× 230 1.0× 218 1.0× 31 1.5k
Cinzia Ferri 630 1.1× 574 1.1× 478 1.0× 390 1.6× 216 1.0× 32 1.6k
Gyun Jee Song 261 0.5× 658 1.3× 417 0.8× 200 0.8× 235 1.1× 56 1.6k

Countries citing papers authored by Kazuhiro Terai

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiro Terai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhiro Terai

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