Jeehyung Lee

2.0k citations
8 papers · 1.2k indexed · 1 hit paper · h-index 7

Impact in

Papers in

Jeehyung Lee

7 papers receiving 1.1k citations

Hit Papers

Predicting protein structures with a multiplayer online game 2010 · 869 citations
8692010202620152020250500750

Peers

Jeehyung Lee
Comparison fields: 5 of 148
  • Computer Science Applications 404
  • Ecological Modeling 106
  • Information Systems and Management 90
  • Human-Computer Interaction 68
  • Communication 69
Replace Foldit Players with:
Foldit Players United States
J. Barbero Spain
Firas Khatib United States
Seth Cooper United States
Kevin Page United Kingdom
Christopher Collins Canada
Markus Luczak–Roesch New Zealand
Jane Greenberg United States
Szymon Krzywda Poland
Linda C. Smith United States
Jeehyung Lee relative to Foldit Players United States Foldit Players's profile →
Citations per field
00.5×1.5×
Foldit Players · 1×
Citations per year

Countries citing papers authored by Jeehyung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jeehyung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

8 of 8 papers shown
#Work
1 202263
2 201652
3 20159
4 2014182
5
Predicting protein structures with a multiplayer online game
Hit paper breakdown →
2010869
6 200813
7 20071
8 200413

About Jeehyung Lee

Jeehyung Lee is a scholar working on Communication, Hematology, Automotive Engineering, Molecular Biology and Pharmacology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Digital Games and Media (1 paper), Signaling Pathways in Disease (1 paper), Estrogen and related hormone effects (1 paper), Vehicle Dynamics and Control Systems (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Computer Science Applications (404 citations), Ecological Modeling (106 citations), Information Systems and Management (90 citations), Human-Computer Interaction (68 citations) and Communication (69 citations). Jeehyung Lee has collaborated with scholars based in United States and South Korea. Frequent co-authors include Adrien Treuille, Zoran Popović, J. Barbero, Foldit Players, Firas Khatib, Andrew Leaver‐Fay, Seth Cooper, David Baker, Wipapat Kladwang and Rhiju Das. Their work appears in journals such as Nature Methods, Journal of Molecular Biology, Nature, Proceedings of the National Academy of Sciences and Biochemical and Biophysical Research Communications.

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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