Kyoko Iinuma

29 total papers · 486 total citations
23 papers, 370 citations indexed

About

Kyoko Iinuma is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Kyoko Iinuma has authored 23 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Neurology. Recurrent topics in Kyoko Iinuma's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Alzheimer's disease research and treatments (5 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Kyoko Iinuma is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Alzheimer's disease research and treatments (5 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Kyoko Iinuma collaborates with scholars based in Japan, South Korea and Netherlands. Kyoko Iinuma's co-authors include Ryo Yamasaki, Jun‐ichi Kira, Yasumasa Ohyagi, Takuya Matsushita, Norimichi Nakamura, Kazuhiro Irie, Kazuma Murakami, Naoko Soejima, Toru Iwaki and Nobutaka Sakae and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Neurology and Journal of Neurochemistry.

In The Last Decade

Kyoko Iinuma

22 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Kyoko Iinuma 150 121 103 74 64 23 370
Enji Zhang 156 1.0× 132 1.1× 46 0.4× 107 1.4× 74 1.2× 19 385
Faye E. Mendelson 188 1.3× 117 1.0× 81 0.8× 40 0.5× 69 1.1× 20 382
Swati Naphade 118 0.8× 182 1.5× 86 0.8× 96 1.3× 53 0.8× 19 415
M M Esiri 127 0.8× 83 0.7× 97 0.9× 67 0.9× 68 1.1× 17 440
Danielle N. Lyons 230 1.5× 166 1.4× 80 0.8× 118 1.6× 54 0.8× 12 392
Bolati Kuerban 183 1.2× 177 1.5× 46 0.4× 69 0.9× 69 1.1× 17 405
Evgeniya I. Fedotova 92 0.6× 208 1.7× 129 1.3× 98 1.3× 71 1.1× 21 401
K. Sullivan 182 1.2× 84 0.7× 85 0.8× 86 1.2× 33 0.5× 13 437
Zhongya Wei 147 1.0× 126 1.0× 41 0.4× 155 2.1× 37 0.6× 13 381
Marija Sajic 100 0.7× 147 1.2× 48 0.5× 76 1.0× 58 0.9× 17 366

Countries citing papers authored by Kyoko Iinuma

Since Specialization
Citations

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

Fields of papers citing papers by Kyoko Iinuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyoko Iinuma

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