Ben Tsuda

687 total citations
5 papers, 293 citations indexed

About

Ben Tsuda is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ben Tsuda has authored 5 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cognitive Neuroscience and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Ben Tsuda's work include Neural dynamics and brain function (2 papers), Memory and Neural Mechanisms (2 papers) and melanin and skin pigmentation (1 paper). Ben Tsuda is often cited by papers focused on Neural dynamics and brain function (2 papers), Memory and Neural Mechanisms (2 papers) and melanin and skin pigmentation (1 paper). Ben Tsuda collaborates with scholars based in United States, Switzerland and South Africa. Ben Tsuda's co-authors include Terrence J. Sejnowski, Albertha J.M. Walhout, Lesley T. MacNeil, Keith R. Yamamoto, H. Efsun Arda, Stefan Taubert, Reynaldo Sequerra, Colin C. Conine, Lynn Doucette‐Stamm and Kay M. Tye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and PLoS Computational Biology.

In The Last Decade

Ben Tsuda

5 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ben Tsuda United States	4	191	58	58	54	42	5	293
Ralda Nehme United States	12	245 1.3×	61 1.1×	16 0.3×	70 1.3×	27 0.6×	22	387
Eun Chan Park South Korea	12	155 0.8×	78 1.3×	49 0.8×	68 1.3×	7 0.2×	24	372
Philipp Christoph Janiesch Germany	9	424 2.2×	39 0.7×	24 0.4×	97 1.8×	25 0.6×	10	531
Manuel Belmadani Canada	5	220 1.2×	23 0.4×	40 0.7×	19 0.4×	35 0.8×	8	270
Jingjun Li United States	9	193 1.0×	44 0.8×	18 0.3×	215 4.0×	32 0.8×	13	406
Marty G. Yang United States	7	383 2.0×	18 0.3×	27 0.5×	44 0.8×	40 1.0×	10	450
Francesca Cargnin United States	8	175 0.9×	12 0.2×	38 0.7×	50 0.9×	24 0.6×	9	281
Tina Lai United States	6	185 1.0×	25 0.4×	36 0.6×	103 1.9×	21 0.5×	6	332
Jennifer S. Ziegenfuss United States	5	169 0.9×	20 0.3×	36 0.6×	103 1.9×	10 0.2×	7	380
Katherine E. Savell United States	9	364 1.9×	17 0.3×	49 0.8×	113 2.1×	43 1.0×	10	477

Countries citing papers authored by Ben Tsuda

Since Specialization

Citations

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

Fields of papers citing papers by Ben Tsuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Tsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Tsuda. A scholar is included among the top collaborators of Ben 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 Ben Tsuda. Ben Tsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Tsuda, Ben, Barry J. Richmond, & Terrence J. Sejnowski. (2023). Exploring strategy differences between humans and monkeys with recurrent neural networks. PLoS Computational Biology. 19(11). e1011618–e1011618. 3 indexed citations

2.

Tsuda, Ben, Kay M. Tye, Hava T. Siegelmann, & Terrence J. Sejnowski. (2020). A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex. Proceedings of the National Academy of Sciences. 117(47). 29872–29882. 26 indexed citations

3.

Trujillo, Cleber A., Jason W. Adams, Priscilla D. Negraes, et al.. (2020). Pharmacological reversal of synaptic and network pathology in human MECP2 ‐KO neurons and cortical organoids. EMBO Molecular Medicine. 13(1). e12523–e12523. 71 indexed citations

4.

Busskamp, Volker, Jacek Król, Tamás Szikra, et al.. (2014). miRNAs 182 and 183 Are Necessary to Maintain Adult Cone Photoreceptor Outer Segments and Visual Function. Neuron. 83(3). 586–600. 110 indexed citations

5.

Arda, H. Efsun, Stefan Taubert, Lesley T. MacNeil, et al.. (2010). Functional modularity of nuclear hormone receptors in a Caenorhabditis elegans metabolic gene regulatory network. Molecular Systems Biology. 6(1). 367–367. 83 indexed citations

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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