Jaime Prilusky
- Molecular Biology top 2%
- Materials Chemistry top 5%
- Computational Theory and Mathematics top 1%
- Immunology top 10%
- Oncology top 10%
- Co-authors
- Joel L. SussmanEnrique E. AbolaIsrael SilmanMarvin EdelmanV. M. SobolevAnatoly SorokinN. O. ManningClifford E. Felder
- Topics
- Protein Structure and Dynamics (15 papers)Enzyme Structure and Function (13 papers)Genomics and Phylogenetic Studies (8 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Jaime Prilusky
40 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 3.9k
- Materials Chemistry 859
- Computational Theory and Mathematics 438
- Immunology 420
- Oncology 357
Countries citing papers authored by Jaime Prilusky
This map shows the geographic impact of Jaime Prilusky'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 Jaime Prilusky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Prilusky more than expected).
Fields of papers citing papers by Jaime Prilusky
This network shows the impact of papers produced by Jaime Prilusky. 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 Jaime Prilusky. The network helps show where Jaime Prilusky may publish in the future.
Co-authorship network of co-authors of Jaime Prilusky
This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Prilusky. A scholar is included among the top collaborators of Jaime Prilusky 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 Jaime Prilusky. Jaime Prilusky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 17 | |
| 4 | 52 | |
| 5 | 192 | |
| 6 | 21 | |
| 7 | 37 | |
| 8 | 13 | |
| 9 | 105 | |
| 10 | 22 | |
| 11 | 64 | |
| 12 | 162 | |
| 13 | 23 | |
| 14 | 43 | |
| 15 | FoldIndex(C): a simple tool to predict whether a given protein sequence is intrinsically unfoldedbreakdown → | 765 |
| 16 | 19 | |
| 17 | 3 | |
| 18 | 351 | |
| 19 | Protein Data Bank (PDB): Database of Three-Dimensional Structural Information of Biological Macromoleculesbreakdown → | 596 |
| 20 | 8 |
About Jaime Prilusky
Jaime Prilusky is a scholar working on Molecular Biology, Spectroscopy and Information Systems and Management, having authored 40 papers that have together received 5.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Enzyme Structure and Function (13 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Molecular Biology (3.9k citations), Computational Theory and Mathematics (438 citations) and Immunology (420 citations). Jaime Prilusky has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Joel L. Sussman, Enrique E. Abola, Israel Silman, Marvin Edelman, V. M. Sobolev, Anatoly Sorokin, N. O. Manning, Clifford E. Felder, J. Beckmann and Orna Man. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular Cell.
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.