Brigit E. Riley

8.2k total citations · 1 hit paper
16 papers, 1.7k citations indexed

About

Brigit E. Riley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Brigit E. Riley has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Epidemiology. Recurrent topics in Brigit E. Riley's work include Ubiquitin and proteasome pathways (10 papers), Autophagy in Disease and Therapy (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Brigit E. Riley is often cited by papers focused on Ubiquitin and proteasome pathways (10 papers), Autophagy in Disease and Therapy (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Brigit E. Riley collaborates with scholars based in United States, Russia and Australia. Brigit E. Riley's co-authors include Ron R. Kopito, Jennifer Johnston, Atsushi Iwata, Harry T. Orr, Thomas A. Shaler, Stephen E. Kaiser, Huda Y. Zoghbi, Howard Schulman, Christopher H. Becker and Mark S. Hipp and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Genes & Development.

In The Last Decade

Brigit E. Riley

16 papers receiving 1.7k citations

Hit Papers

HDAC6 and Microtubules Are Required for Autophagic Degrad... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brigit E. Riley United States 12 1.3k 707 399 393 311 16 1.7k
Brett A. McCray United States 13 889 0.7× 571 0.8× 393 1.0× 348 0.9× 251 0.8× 23 1.5k
Jeanne M.M. Tan Singapore 14 950 0.8× 594 0.8× 337 0.8× 352 0.9× 542 1.7× 17 1.6k
Misako Okuno Japan 12 874 0.7× 550 0.8× 428 1.1× 295 0.8× 227 0.7× 14 1.4k
José G. Castaño Spain 27 1.8k 1.4× 521 0.7× 581 1.5× 510 1.3× 312 1.0× 49 2.5k
Hyoung Tae Kim United States 16 1.3k 1.0× 416 0.6× 449 1.1× 180 0.5× 303 1.0× 24 1.7k
Lynn Bedford United Kingdom 18 1.1k 0.9× 343 0.5× 361 0.9× 165 0.4× 197 0.6× 21 1.6k
Hikaru Tsuchiya Japan 16 2.1k 1.7× 1.1k 1.5× 524 1.3× 123 0.3× 382 1.2× 21 2.7k
Eszter Zavodszky United Kingdom 12 743 0.6× 456 0.6× 480 1.2× 191 0.5× 231 0.7× 15 1.3k
Attila Lehotzky Hungary 21 944 0.8× 235 0.3× 294 0.7× 172 0.4× 235 0.8× 36 1.6k
Laura C. Bott United States 10 812 0.6× 320 0.5× 370 0.9× 252 0.6× 179 0.6× 18 1.1k

Countries citing papers authored by Brigit E. Riley

Since Specialization
Citations

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

Fields of papers citing papers by Brigit E. Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brigit E. Riley. 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 Brigit E. Riley. The network helps show where Brigit E. Riley may publish in the future.

Co-authorship network of co-authors of Brigit E. Riley

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

All Works

16 of 16 papers shown
1.
Bender, Kristina Oresic, Pallavi Sharma, Baljit Singh, et al.. (2023). Preclinical evaluation of ADVM-062, a novel intravitreal gene therapy vector for the treatment of blue cone monochromacy. Molecular Therapy. 31(7). 2014–2027. 2 indexed citations
2.
Spencer, H. Trent, Brigit E. Riley, & Christopher B. Doering. (2016). State of the art: gene therapy of haemophilia. Haemophilia. 22(S5). 66–71. 27 indexed citations
3.
Riley, Brigit E., Dominique Cartier, Kate Nesbitt, et al.. (2016). Development of an Optimized rAAV2/6 Human Factor 8 cDNA Vector Cassette for Hemophilia a Gene Therapy. Blood. 128(22). 1173–1173. 1 indexed citations
4.
Riley, Brigit E. & James A. Olzmann. (2015). A Polyubiquitin Chain Reaction: Parkin Recruitment to Damaged Mitochondria. PLoS Genetics. 11(1). e1004952–e1004952. 7 indexed citations
5.
Riley, Brigit E., Shyra J. Gardai, Dorothea Emig-Agius, et al.. (2014). Systems-Based Analyses of Brain Regions Functionally Impacted in Parkinson's Disease Reveals Underlying Causal Mechanisms. PLoS ONE. 9(8). e102909–e102909. 65 indexed citations
6.
Regnström, Karin, Jiangli Yan, Lan K. Nguyen, et al.. (2013). Label Free Fragment Screening Using Surface Plasmon Resonance as a Tool for Fragment Finding – Analyzing Parkin, a Difficult CNS Target. PLoS ONE. 8(7). e66879–e66879. 16 indexed citations
7.
Riley, Brigit E., Julie C. Lougheed, Kari Callaway, et al.. (2013). Structure and function of Parkin E3 ubiquitin ligase reveals aspects of RING and HECT ligases. Nature Communications. 4(1). 1982–1982. 290 indexed citations
8.
Hipp, Mark S., Chetan N. Patel, Kirill Bersuker, et al.. (2012). Indirect inhibition of 26S proteasome activity in a cellular model of Huntington’s disease. The Journal of Cell Biology. 196(5). 573–587. 131 indexed citations
9.
Riley, Brigit E., Stephen E. Kaiser, & Ron R. Kopito. (2011). Autophagy inhibition engages Nrf2-p62 Ub-associated signaling. Autophagy. 7(3). 338–340. 20 indexed citations
10.
Kaiser, Stephen E., Brigit E. Riley, Thomas A. Shaler, et al.. (2011). Protein standard absolute quantification (PSAQ) method for the measurement of cellular ubiquitin pools. Nature Methods. 8(8). 691–696. 188 indexed citations
11.
Riley, Brigit E., Stephen E. Kaiser, Thomas A. Shaler, et al.. (2010). Ubiquitin accumulation in autophagy-deficient mice is dependent on the Nrf2-mediated stress response pathway: a potential role for protein aggregation in autophagic substrate selection. The Journal of Cell Biology. 191(3). 537–552. 144 indexed citations
12.
Riley, Brigit E. & Harry T. Orr. (2006). Polyglutamine neurodegenerative diseases and regulation of transcription: assembling the puzzle. Genes & Development. 20(16). 2183–2192. 123 indexed citations
13.
Bennett, Eric J., Mirella Gonzalez‐Zulueta, Howard Schulman, et al.. (2006). [Cellular mechanisms of protein quality control].. PubMed. 46(11). 805–805. 1 indexed citations
14.
Riley, Brigit E., Huda Y. Zoghbi, & Harry T. Orr. (2005). SUMOylation of the Polyglutamine Repeat Protein, Ataxin-1, Is Dependent on a Functional Nuclear Localization Signal. Journal of Biological Chemistry. 280(23). 21942–21948. 73 indexed citations
15.
Iwata, Atsushi, Brigit E. Riley, Jennifer Johnston, & Ron R. Kopito. (2005). HDAC6 and Microtubules Are Required for Autophagic Degradation of Aggregated Huntingtin. Journal of Biological Chemistry. 280(48). 40282–40292. 587 indexed citations breakdown →
16.
Riley, Brigit E., Yifan Xu, Huda Y. Zoghbi, & Harry T. Orr. (2004). The Effects of the Polyglutamine Repeat Protein Ataxin-1 on the UbL-UBA Protein A1Up. Journal of Biological Chemistry. 279(40). 42290–42301. 39 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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