Takahiro Gotoh

42 total papers · 1.6k total citations
27 papers, 1.2k citations indexed

About

Takahiro Gotoh is a scholar working on Molecular Biology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Takahiro Gotoh has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Neurology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Takahiro Gotoh's work include Neuroblastoma Research and Treatments (13 papers), Cancer therapeutics and mechanisms (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Takahiro Gotoh is often cited by papers focused on Neuroblastoma Research and Treatments (13 papers), Cancer therapeutics and mechanisms (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Takahiro Gotoh collaborates with scholars based in Japan, United States and Netherlands. Takahiro Gotoh's co-authors include Garrett M. Brodeur, Peter S. White, Paul M. Thompson, Marleen Kok, Yukari Yamazaki, Toichiro Takizawa, Hiroyuki Aburatani, Keiko Kaneko, Noriyoshi Kawaguchi and Hiroaki Kanda and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Takahiro Gotoh

26 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Takahiro Gotoh 710 360 345 313 308 27 1.2k
Nathan V. Lee 668 0.9× 323 0.9× 125 0.4× 456 1.5× 311 1.0× 23 1.2k
Didier Surdez 644 0.9× 508 1.4× 120 0.3× 260 0.8× 217 0.7× 32 1.1k
Susan Chilton‐MacNeill 830 1.2× 626 1.7× 134 0.4× 303 1.0× 374 1.2× 24 1.4k
Roberta Sestini 595 0.8× 209 0.6× 403 1.2× 362 1.2× 208 0.7× 45 1.3k
Rebecca Sowers 801 1.1× 458 1.3× 133 0.4× 560 1.8× 267 0.9× 24 1.5k
P. Birner 684 1.0× 261 0.7× 160 0.5× 606 1.9× 460 1.5× 42 1.5k
Simone Hettmer 711 1.0× 505 1.4× 122 0.4× 269 0.9× 192 0.6× 61 1.3k
Maximilian Kauer 591 0.8× 368 1.0× 79 0.2× 237 0.8× 251 0.8× 35 1.1k
Margaret E. Macy 513 0.7× 252 0.7× 323 0.9× 372 1.2× 146 0.5× 56 1.2k
Yanlin Yu 905 1.3× 193 0.5× 192 0.6× 376 1.2× 195 0.6× 34 1.5k

Countries citing papers authored by Takahiro Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Takahiro Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahiro Gotoh

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