Brigit E. Riley

8.3k citations
15 papers · 1.7k · h-index 11

Impact in

Papers in

Brigit E. Riley

15 papers receiving 1.6k citations

Peers

Brigit E. Riley
Comparison fields: 5 of 90
  • Cell Biology 384
  • Epidemiology 711
  • Neurology 293
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 301
Replace Jeanne M.M. Tan with:
Jeanne M.M. Tan Singapore
Natalie J. Kolawa United States
Hikaru Tsuchiya Japan
Emélie Braschi Canada
Lynn Bedford United Kingdom
Roberta Tufi United Kingdom
Jin‐Mi Heo United States
Holger Lorenz Germany
Laura C. Bott United States
Claudia Dall’Armi United States
Brigit E. Riley relative to Jeanne M.M. Tan Singapore Jeanne M.M. Tan's profile →
Citations per field
00.5×1.5×1.9×
Jeanne M.M. Tan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Brigit E. Riley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brigit E. Riley Line = papers co-authored together Brigit E. Riley links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2005607
2 2013310
3 2011197
4 2010147
5 2012141
6 200578
7 201465
8 200441
9 201630
10 201120
11 201319
12 20157
13 20232
14
[Cellular mechanisms of protein quality control].
20061
15 20161

About Brigit E. Riley

Brigit E. Riley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Neurology and Genetics, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Autophagy in Disease and Therapy (5 papers), Genetic Neurodegenerative Diseases (4 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Virus-based gene therapy research (2 papers), CRISPR and Genetic Engineering (1 paper), Hemophilia Treatment and Research (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Cell Biology (384 citations), Epidemiology (711 citations), Neurology (293 citations), Molecular Biology (1.2k citations) and Cellular and Molecular Neuroscience (301 citations). Brigit E. Riley has collaborated with scholars based in United States, Poland and Russia. Frequent co-authors include Ron R. Kopito, Jennifer A. Johnston, Atsushi Iwata, Thomas A. Shaler, Stephen E. Kaiser, Harry T. Orr, Huda Yahya Zoghbi, Howard Schulman, Christopher H. Becker and Mark S. Hipp. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, The Journal of Cell Biology, Haemophilia and Autophagy.

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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