George P. Lisi
- Molecular Biology
- Materials Chemistry
- Immunology
- Computational Theory and Mathematics top 5%
- Spectroscopy top 10%
- Co-authors
- J. Patrick LoriaVíctor S. BatistaErin SkeensUriel N. MorzanGiulia PalermoJennifer Y. CuiJunming HoHeidi P. Hendrickson
- Topics
- CRISPR and Genetic Engineering (16 papers)RNA and protein synthesis mechanisms (16 papers)Macrophage Migration Inhibitory Factor (11 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesFranceSlovakia
In The Last Decade
George P. Lisi
49 papers receiving 961 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 651
- Materials Chemistry 136
- Immunology 102
- Computational Theory and Mathematics 94
- Spectroscopy 76
Countries citing papers authored by George P. Lisi
This map shows the geographic impact of George P. Lisi'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 George P. Lisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George P. Lisi more than expected).
Fields of papers citing papers by George P. Lisi
This network shows the impact of papers produced by George P. Lisi. 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 George P. Lisi. The network helps show where George P. Lisi may publish in the future.
Co-authorship network of co-authors of George P. Lisi
This figure shows the co-authorship network connecting the top 25 collaborators of George P. Lisi. A scholar is included among the top collaborators of George P. Lisi 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 George P. Lisi. George P. Lisi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | High-throughput prediction of protein conformational distributions with subsampled AlphaFold2breakdown → | 75 |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | 43 | |
| 17 | 7 | |
| 18 | 5 | |
| 19 | 13 | |
| 20 | 50 |
About George P. Lisi
George P. Lisi is a scholar working on Structural Biology, Toxicology and Immunology, having authored 52 papers that have together received 967 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), RNA and protein synthesis mechanisms (16 papers) and Macrophage Migration Inhibitory Factor (11 papers). The work is most often cited by research in Molecular Biology (651 citations), Business and International Management (12 citations) and Computational Theory and Mathematics (94 citations). George P. Lisi has collaborated with scholars based in United States, France and Slovakia. Frequent co-authors include J. Patrick Loria, Víctor S. Batista, Erin Skeens, Uriel N. Morzan, Giulia Palermo, Jennifer Y. Cui, Junming Ho, Heidi P. Hendrickson, Christian F. A. Negre and Ivan Rivalta. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.