Tyler C. Brown

21 total papers · 4.4k total citations
11 papers, 695 citations indexed

About

Tyler C. Brown is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Tyler C. Brown has authored 11 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Tyler C. Brown's work include Neuroscience and Neuropharmacology Research (6 papers), Cellular transport and secretion (3 papers) and Photoreceptor and optogenetics research (3 papers). Tyler C. Brown is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Cellular transport and secretion (3 papers) and Photoreceptor and optogenetics research (3 papers). Tyler C. Brown collaborates with scholars based in United States, Canada and Germany. Tyler C. Brown's co-authors include José A. Esteban, Donald S. Backos, Susana S. Correia, Silvia Bassani, Maria Passafaro, Mónica Fernández‐Monreal, Alaa El-Husseini, María Royo, Richard I. Hume and Susanne Schmid and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Tyler C. Brown

10 papers receiving 689 citations

Author Peers

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

Author Last Decade Papers Cites
Tyler C. Brown 458 400 277 66 49 11 695
Aline Bréchet 469 1.0× 471 1.2× 157 0.6× 44 0.7× 18 0.4× 7 696
Jeanne Ster 412 0.9× 330 0.8× 121 0.4× 99 1.5× 17 0.3× 18 630
G.A. Hortopan 298 0.7× 248 0.6× 327 1.2× 61 0.9× 75 1.5× 7 746
Nathan J. Lautermilch 438 1.0× 384 1.0× 101 0.4× 51 0.8× 21 0.4× 13 581
Thomas C. Südhof 349 0.8× 524 1.3× 385 1.4× 99 1.5× 31 0.6× 6 773
Christian Heuss 333 0.7× 339 0.8× 95 0.3× 57 0.9× 132 2.7× 9 609
Chih-Chun Lin 344 0.8× 396 1.0× 167 0.6× 64 1.0× 16 0.3× 19 767
Moritz Armbruster 473 1.0× 378 0.9× 259 0.9× 122 1.8× 37 0.8× 16 714
Kristin L. Arendt 421 0.9× 422 1.1× 155 0.6× 128 1.9× 16 0.3× 13 695
Nobutake Hosoi 530 1.2× 532 1.3× 216 0.8× 87 1.3× 27 0.6× 17 768

Countries citing papers authored by Tyler C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Tyler C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler C. Brown. 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 Tyler C. Brown. The network helps show where Tyler C. Brown may publish in the future.

Co-authorship network of co-authors of Tyler C. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler C. Brown. A scholar is included among the top collaborators of Tyler C. Brown 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 Tyler C. Brown. Tyler C. Brown 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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