Hideyuki Hattori

91 total papers · 1.4k total citations
53 papers, 821 citations indexed

About

Hideyuki Hattori is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Hideyuki Hattori has authored 53 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Psychiatry and Mental health, 12 papers in Physiology and 7 papers in Cognitive Neuroscience. Recurrent topics in Hideyuki Hattori's work include Dementia and Cognitive Impairment Research (20 papers), Alzheimer's disease research and treatments (10 papers) and Functional Brain Connectivity Studies (4 papers). Hideyuki Hattori is often cited by papers focused on Dementia and Cognitive Impairment Research (20 papers), Alzheimer's disease research and treatments (10 papers) and Functional Brain Connectivity Studies (4 papers). Hideyuki Hattori collaborates with scholars based in Japan, Germany and Spain. Hideyuki Hattori's co-authors include Shigeo Hashimoto, Shiro Hariguchi, Yu Nakamura, Tsuyoshi Nishimura, Masatoshi Takeda, Hideo Suzuki, Kunitoshi Tada, Fumihiko Yasuno, Yukihiko Washimi and Hiroyuki Minami and has published in prestigious journals such as Brain, Acta Neuropathologica and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Hideyuki Hattori

51 papers receiving 801 citations

Author Peers

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

Author Last Decade Papers Cites
Hideyuki Hattori 193 186 132 126 95 53 821
Yanlin Bi 198 1.0× 204 1.1× 79 0.6× 90 0.7× 177 1.9× 62 762
Alexander Tzabazis 139 0.7× 301 1.6× 57 0.4× 148 1.2× 68 0.7× 37 977
Aleksandra Klimkowicz‐Mrowiec 164 0.8× 100 0.5× 66 0.5× 100 0.8× 178 1.9× 53 863
Yi‐Cheng Wu 106 0.5× 100 0.5× 82 0.6× 80 0.6× 108 1.1× 33 700
Elizabeta B. Mukaetova‐Ladinska 180 0.9× 202 1.1× 75 0.6× 134 1.1× 50 0.5× 66 948
Christian Lange‐Asschenfeldt 205 1.1× 155 0.8× 107 0.8× 146 1.2× 27 0.3× 57 773
Arianna Casini 212 1.1× 200 1.1× 95 0.7× 136 1.1× 21 0.2× 48 918
Daniel Alonso‐Alconada 95 0.5× 53 0.3× 127 1.0× 84 0.7× 100 1.1× 42 967
Rui Yang 59 0.3× 129 0.7× 246 1.9× 305 2.4× 68 0.7× 40 1.0k
David Skvarc 114 0.6× 68 0.4× 45 0.3× 102 0.8× 221 2.3× 77 886

Countries citing papers authored by Hideyuki Hattori

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Hattori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Hattori

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