Stephen Ra

915 citations
4 papers · 499 · 1 hit paper · h-index 4

Impact in

Papers in

Stephen Ra

4 papers receiving 489 citations

Stephen Ra's Hit Papers

OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization 2024 · 213 citations
2130+1Years since publication50100150200

Peers

Stephen Ra
Comparison fields: 5 of 40
  • Pharmacology 144
  • Behavioral Neuroscience 6
  • Molecular Biology 133
  • Computational Theory and Mathematics 27
  • Cognitive Neuroscience 18
Replace Stéphanie Monlezun with:
Stéphanie Monlezun France
Guangzhong Zhang China
Joanna Yu Canada
Yunting Yang Sweden
Lisa K. Dvorak United States
David Reiner‐Link Germany
Alexandra M. Thomas United States
Rixing Lin Canada
Claudia Sippel Germany
Terrence Kenakin United States
Stephen Ra relative to Stéphanie Monlezun France Stéphanie Monlezun's profile →
Citations per field
00.5×2×4×6×7×
Stéphanie Monlezun · 1×
Citations per year

Countries citing papers authored by Stephen Ra

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Ra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Ra, 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 Stephen Ra Line = papers co-authored together Stephen Ra links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 2015242
2
OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization
Hit paper breakdown →
2024213
3 201140
4 20234

About Stephen Ra

Stephen Ra is a scholar working on Pharmacology, Computational Mechanics, Genetics, Molecular Biology and Nuclear Energy and Engineering, having authored 4 papers that have together received 499 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (1 paper), Cannabis and Cannabinoid Research (1 paper), 3D Shape Modeling and Analysis (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Pharmacology (144 citations), Behavioral Neuroscience (6 citations), Molecular Biology (133 citations), Computational Theory and Mathematics (27 citations) and Cognitive Neuroscience (18 citations). Stephen Ra has collaborated with scholars based in United States and Canada. Frequent co-authors include Deqiang Jing, Francis S. Lee, Ruirong Yang, Andrew T. Drysdale, Charles E. Glatt, Catherine A. Hartley, Iva Dincheva, Benjamin F. Cravatt, B.J. Casey and Matthew N. Hill. Their work appears in journals such as Behavioural Brain Research, Nature Communications, Nature Methods and neural information processing systems.

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