Algorithm discovery by protein folding game players2011 · 370 citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
2011Proceedings of the National Academy of Sciences
Countries citing papers authored by Foldit Players
Since Specialization
Citations
This map shows the geographic impact of Foldit Players'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 Foldit Players with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Foldit Players more than expected).
This network shows the impact of papers produced by Foldit Players. 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 Foldit Players. The network helps show where Foldit Players may publish in the future.
Co-authors
The 16 scholars most cited alongside Foldit Players, 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 Foldit PlayersLine = papers co-authored togetherFoldit Players links everyone, so they are left out of the graph.
All Works
4 of 4 papers shown
#
Work
1
Predicting protein structures with a multiplayer online game
Foldit Players is a scholar working on Sociology and Political Science, Artificial Intelligence, Organic Chemistry, Communication and Molecular Biology, having authored 4 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Games and Media (3 papers), Artificial Intelligence in Games (2 papers), Data Visualization and Analytics (1 paper), Protein Structure and Dynamics (1 paper), Educational Games and Gamification (1 paper), Click Chemistry and Applications (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper) and Wikis in Education and Collaboration (1 paper). The work is most often cited by research in Computer Science Applications (496 citations), Ecological Modeling (134 citations), Information Systems and Management (107 citations), Human-Computer Interaction (82 citations) and Communication (87 citations). Foldit Players has collaborated with scholars based in United States. Frequent co-authors include Firas Khatib, Seth Cooper, Zoran Popović, David Baker, J. Barbero, Andrew Leaver‐Fay, Jeehyung Lee, Adrien Treuille, Michael D. Tyka and Betty Shen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Biotechnology.
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.