Brett J Winborn

1.9k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Brett J Winborn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Brett J Winborn has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Brett J Winborn's work include Mitochondrial Function and Pathology (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Autophagy in Disease and Therapy (3 papers). Brett J Winborn is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Autophagy in Disease and Therapy (3 papers). Brett J Winborn collaborates with scholars based in United States, Portugal and United Kingdom. Brett J Winborn's co-authors include Sokol V. Todi, Sue M. Travis, Henry L. Paulson, K. Matthew Scaglione, J. Paul Taylor, Nael H. Alami, Rebecca B. Smith, Junmin Peng, Anderson Kanagaraj and Evangelos Kiskinis and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and The EMBO Journal.

In The Last Decade

Brett J Winborn

8 papers receiving 1.1k citations

Hit Papers

Axonal Transport of TDP-4... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brett J Winborn United States 7 890 442 323 244 208 8 1.2k
Anny Devoy United Kingdom 14 824 0.9× 628 1.4× 230 0.7× 321 1.3× 211 1.0× 16 1.3k
Silvia Rathke‐Hartlieb Germany 9 554 0.6× 317 0.7× 325 1.0× 159 0.7× 63 0.3× 9 979
Sara K. Custer United States 9 444 0.5× 276 0.6× 214 0.7× 208 0.9× 97 0.5× 13 692
Junko Kurisu Japan 13 463 0.5× 285 0.6× 137 0.4× 152 0.6× 64 0.3× 16 802
Éléonore Eymard-Pierre France 16 685 0.8× 272 0.6× 180 0.6× 215 0.9× 57 0.3× 38 1.1k
Edgardo Rodríguez-Lebrón United States 15 944 1.1× 171 0.4× 566 1.8× 89 0.4× 71 0.3× 17 1.1k
Benjamin M. Schwenk Germany 6 298 0.3× 362 0.8× 141 0.4× 163 0.7× 46 0.2× 6 670
Paul R. Kasher United Kingdom 12 384 0.4× 305 0.7× 178 0.6× 192 0.8× 41 0.2× 29 847
Basar Cenik United States 10 733 0.8× 930 2.1× 115 0.4× 440 1.8× 76 0.4× 13 1.4k
Ines Dierick Belgium 9 677 0.8× 453 1.0× 460 1.4× 362 1.5× 31 0.1× 14 1.2k

Countries citing papers authored by Brett J Winborn

Since Specialization
Citations

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

Fields of papers citing papers by Brett J Winborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brett J Winborn. 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 Brett J Winborn. The network helps show where Brett J Winborn may publish in the future.

Co-authorship network of co-authors of Brett J Winborn

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

All Works

8 of 8 papers shown
1.
Hsu, Cynthia L., Kohta Ohnishi, Jill Meisenhelder, et al.. (2023). MAP4K3 inhibits Sirtuin-1 to repress the LKB1–AMPK pathway to promote amino acid-dependent activation of the mTORC1 complex. Life Science Alliance. 6(8). e202201525–e202201525. 2 indexed citations
2.
Joshi, Aashish, Rekha Iyengar, Joung Hyuck Joo, et al.. (2015). Nuclear ULK1 promotes cell death in response to oxidative stress through PARP1. Cell Death and Differentiation. 23(2). 216–230. 62 indexed citations
3.
Alami, Nael H., Rebecca B. Smith, Mónica A. Carrasco, et al.. (2014). Axonal Transport of TDP-43 mRNA Granules Is Impaired by ALS-Causing Mutations. Neuron. 81(3). 536–543. 497 indexed citations breakdown →
4.
Kim, Nam Chul, Emilie Tresse, Regina‐Maria Kolaitis, et al.. (2013). VCP Is Essential for Mitochondrial Quality Control by PINK1/Parkin and this Function Is Impaired by VCP Mutations. Neuron. 78(2). 403–403. 6 indexed citations
5.
Kim, Nam Chul, Emilie Tresse, Amandine Molliex, et al.. (2013). VCP Is Essential for Mitochondrial Quality Control by PINK1/Parkin and this Function Is Impaired by VCP Mutations. Neuron. 78(1). 65–80. 189 indexed citations
6.
Todi, Sokol V., Brett J Winborn, K. Matthew Scaglione, et al.. (2009). Ubiquitination directly enhances activity of the deubiquitinating enzyme ataxin‐3. The EMBO Journal. 28(4). 372–382. 143 indexed citations
7.
Winborn, Brett J, Sue M. Travis, Sokol V. Todi, et al.. (2008). The Deubiquitinating Enzyme Ataxin-3, a Polyglutamine Disease Protein, Edits Lys63 Linkages in Mixed Linkage Ubiquitin Chains. Journal of Biological Chemistry. 283(39). 26436–26443. 213 indexed citations
8.
Todi, Sokol V., Mário Laço, Brett J Winborn, et al.. (2007). Cellular Turnover of the Polyglutamine Disease Protein Ataxin-3 Is Regulated by Its Catalytic Activity. Journal of Biological Chemistry. 282(40). 29348–29358. 43 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026