Yoichiro Nishida

67 total papers · 2.2k total citations
33 papers, 1.1k citations indexed

About

Yoichiro Nishida is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Yoichiro Nishida has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Neurology and 9 papers in Physiology. Recurrent topics in Yoichiro Nishida's work include Alzheimer's disease research and treatments (8 papers), Multiple Sclerosis Research Studies (6 papers) and Neurological and metabolic disorders (3 papers). Yoichiro Nishida is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Multiple Sclerosis Research Studies (6 papers) and Neurological and metabolic disorders (3 papers). Yoichiro Nishida collaborates with scholars based in Japan, United States and Czechia. Yoichiro Nishida's co-authors include Takanori Yokota, Berislav V. Zloković, Abhay P. Sagare, Robert D. Bell, Jesse D. Sengillo, Darryl C. De Vivo, Ethan A. Winkler, E. Dale Abel, Rosalinda B. Wenby and Sara Hillman and has published in prestigious journals such as Journal of Biological Chemistry, Nature Neuroscience and PLoS ONE.

In The Last Decade

Yoichiro Nishida

25 papers receiving 1.1k citations

Hit Papers

GLUT1 reductions exacerba... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Yoichiro Nishida 450 288 281 276 216 33 1.1k
Mak Adam Daulatzai 597 1.3× 239 0.8× 277 1.0× 313 1.1× 79 0.4× 22 1.2k
Antonio Di Meco 438 1.0× 154 0.5× 404 1.4× 145 0.5× 91 0.4× 24 1.0k
Carmen Noelker 416 0.9× 195 0.7× 349 1.2× 337 1.2× 171 0.8× 30 1.4k
Danian Zhu 177 0.4× 152 0.5× 314 1.1× 234 0.8× 77 0.4× 48 1.2k
Li Wang 289 0.6× 179 0.6× 409 1.5× 58 0.2× 76 0.4× 53 1.4k
Chunmei Xia 264 0.6× 85 0.3× 447 1.6× 232 0.8× 52 0.2× 58 1.4k
Sujira Mukda 235 0.5× 131 0.5× 422 1.5× 243 0.9× 46 0.2× 43 1.2k
Wei Liu 118 0.3× 128 0.4× 255 0.9× 197 0.7× 115 0.5× 27 1.0k
Linnea R. Freeman 590 1.3× 99 0.3× 288 1.0× 299 1.1× 42 0.2× 23 1.3k
Karen Schmitt 427 0.9× 143 0.5× 449 1.6× 93 0.3× 124 0.6× 18 1.1k

Countries citing papers authored by Yoichiro Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Yoichiro Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoichiro Nishida

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