Takehide Tsuda

14 total papers · 1.0k total citations
12 papers, 774 citations indexed

About

Takehide Tsuda is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Takehide Tsuda has authored 12 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Takehide Tsuda's work include Alzheimer's disease research and treatments (6 papers), Genetic Neurodegenerative Diseases (3 papers) and Mitochondrial Function and Pathology (2 papers). Takehide Tsuda is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Genetic Neurodegenerative Diseases (3 papers) and Mitochondrial Function and Pathology (2 papers). Takehide Tsuda collaborates with scholars based in Japan, Canada and United States. Takehide Tsuda's co-authors include Yasuto Itoyama, Peter St George‐Hyslop, Junichi Hitomi, Takashi Kudo, Naoya Sato, Taiichi Katayama, Masaya Tohyama, Kazunori Imaizumi, Takashi Morihara and Takunari Yoneda and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Nature Cell Biology.

In The Last Decade

Takehide Tsuda

12 papers receiving 757 citations

Author Peers

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

Author Last Decade Papers Cites
Takehide Tsuda 369 337 314 169 158 12 774
Cynthia Bleiwas 140 0.4× 231 0.7× 341 1.1× 140 0.8× 133 0.8× 17 776
Nahuai Badiola 126 0.3× 356 1.1× 267 0.9× 87 0.5× 143 0.9× 14 824
Julie Dunys 136 0.4× 362 1.1× 460 1.5× 148 0.9× 180 1.1× 22 818
Marc D. Tambini 206 0.6× 538 1.6× 434 1.4× 120 0.7× 168 1.1× 14 815
Kelvin K. Hui 122 0.3× 289 0.9× 320 1.0× 314 1.9× 89 0.6× 21 761
Paul Fraser 197 0.5× 440 1.3× 522 1.7× 86 0.5× 208 1.3× 5 855
Marija Usenovic 109 0.3× 245 0.7× 340 1.1× 122 0.7× 163 1.0× 8 644
ROBERTA FRIEDMAN 126 0.3× 430 1.3× 371 1.2× 45 0.3× 219 1.4× 15 710
Sudarshan C. Upadhya 174 0.5× 496 1.5× 176 0.6× 138 0.8× 224 1.4× 19 903
Emil Adamec 161 0.4× 421 1.2× 225 0.7× 48 0.3× 284 1.8× 14 711

Countries citing papers authored by Takehide Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Takehide Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehide Tsuda

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