Seigo Nakano

49 total papers · 1.2k total citations
30 papers, 707 citations indexed

About

Seigo Nakano is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Seigo Nakano has authored 30 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Psychiatry and Mental health, 9 papers in Cognitive Neuroscience and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Seigo Nakano's work include Dementia and Cognitive Impairment Research (10 papers), Alzheimer's disease research and treatments (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Seigo Nakano is often cited by papers focused on Dementia and Cognitive Impairment Research (10 papers), Alzheimer's disease research and treatments (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Seigo Nakano collaborates with scholars based in Japan, United Kingdom and Canada. Seigo Nakano's co-authors include Hiroshi Matsuda, Takashi Ohnishi, Etsuko Imabayashi, Takashi Asada, Tatsuo Yamada, Hidekazu Kanetaka, Fumiko Tanaka, Fumio Yamashita, Takashi Asada and Noriyuki Kitayama and has published in prestigious journals such as NeuroImage, Analytical Biochemistry and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Seigo Nakano

28 papers receiving 689 citations

Author Peers

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

Author Last Decade Papers Cites
Seigo Nakano 340 245 210 195 111 30 707
Marion Ortner 328 1.0× 242 1.0× 303 1.4× 162 0.8× 75 0.7× 45 729
Bart van Berckel 366 1.1× 152 0.6× 308 1.5× 274 1.4× 106 1.0× 42 799
Catharina Lange 296 0.9× 196 0.8× 250 1.2× 266 1.4× 232 2.1× 51 855
Priya Rajagopalan 281 0.8× 192 0.8× 223 1.1× 185 0.9× 53 0.5× 44 876
Junjie Wu 164 0.5× 350 1.4× 156 0.7× 135 0.7× 62 0.6× 38 786
Sean M. Nestor 333 1.0× 269 1.1× 229 1.1× 216 1.1× 150 1.4× 46 896
Gemma Roberts 282 0.8× 158 0.6× 208 1.0× 108 0.6× 187 1.7× 49 634
Marina Weiler 199 0.6× 301 1.2× 120 0.6× 147 0.8× 55 0.5× 33 628
Jessica C. Foster‐Dingley 320 0.9× 201 0.8× 194 0.9× 172 0.9× 59 0.5× 30 852
Juebin Huang 304 0.9× 158 0.6× 213 1.0× 269 1.4× 131 1.2× 25 701

Countries citing papers authored by Seigo Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Seigo Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seigo Nakano

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