Tomoki Otani

9 total papers · 1.3k total citations
6 papers, 917 citations indexed

About

Tomoki Otani is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tomoki Otani has authored 6 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Developmental Neuroscience and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Tomoki Otani's work include Pluripotent Stem Cells Research (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Gene Regulatory Network Analysis (1 paper). Tomoki Otani is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Gene Regulatory Network Analysis (1 paper). Tomoki Otani collaborates with scholars based in United Kingdom, United States and Austria. Tomoki Otani's co-authors include Frederick J. Livesey, Alexander William Phillips, E. Hilary Gustafson, Madeline A. Lancaster, Juergen A. Knoblich, Nina S. Corsini, Thomas R. Burkard, Maria C. Marchetto, Fred H. Gage and Benjamin D. Simons and has published in prestigious journals such as Cell, Nature Biotechnology and Cell stem cell.

In The Last Decade

Tomoki Otani

6 papers receiving 909 citations

Hit Papers

Guided self-organization ... 2017 2026 2020 2023 2017 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
Tomoki Otani 646 300 208 204 72 6 917
Elisabeth M. Walczak 610 0.9× 260 0.9× 182 0.9× 138 0.7× 100 1.4× 8 897
Stefano L. Giandomenico 685 1.1× 257 0.9× 233 1.1× 207 1.0× 79 1.1× 9 952
Bruna Paulsen 806 1.2× 283 0.9× 207 1.0× 217 1.1× 91 1.3× 15 1.1k
Kimberly R. Cordes Metzler 751 1.2× 305 1.0× 224 1.1× 205 1.0× 114 1.6× 3 1.0k
Daniel Reumann 570 0.9× 309 1.0× 159 0.8× 150 0.7× 50 0.7× 11 824
Daphne Quang 618 1.0× 333 1.1× 232 1.1× 238 1.2× 49 0.7× 5 995
Mayuri Vijay Thete 605 0.9× 309 1.0× 248 1.2× 164 0.8× 73 1.0× 9 890
Rebecca M. Marton 581 0.9× 234 0.8× 236 1.1× 305 1.5× 42 0.6× 10 1000
Cooper W Bloyd 612 0.9× 308 1.0× 261 1.3× 260 1.3× 65 0.9× 3 960
Neal D. Amin 583 0.9× 240 0.8× 232 1.1× 178 0.9× 48 0.7× 14 885

Countries citing papers authored by Tomoki Otani

Since Specialization
Citations

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

Fields of papers citing papers by Tomoki Otani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoki Otani

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