S. Rackovsky
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Glycosylation and Glycoproteins Research
- Materials Chemistry top 5%
- Enzyme Structure and Function
Papers in
-
- Protein Structure and Dynamics 56
- RNA and protein synthesis mechanisms 31
- Machine Learning in Bioinformatics 27
- Fractal and DNA sequence analysis 5
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- Enzyme Structure and Function 31
- Co-authors
- Harold A. Scheraga (31 shared papers)Matthew R. Pincus (12 shared papers)Adam Liwo (9 shared papers)Ryszard J. Wawak (6 shared papers)Jooyoung Lee (2 shared papers)H. A. Scheraga (2 shared papers)R. Silbey (1 shared paper)Igor B. Kuznetsov (7 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (17 papers)Proteins Structure Function and Bioinformatics (16 papers)Macromolecules (6 papers)Biopolymers (5 papers)Journal of Computational Chemistry (4 papers)
- Partner nations
- United StatesPolandCanada
In The Last Decade
S. Rackovsky
86 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 2.3k
- Materials Chemistry 1.3k
- Spectroscopy 349
- Physical and Theoretical Chemistry 135
- Atomic and Molecular Physics, and Optics 406
Countries citing papers authored by S. Rackovsky
This map shows the geographic impact of S. Rackovsky'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 S. Rackovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Rackovsky more than expected).
Fields of papers citing papers by S. Rackovsky
This network shows the impact of papers produced by S. Rackovsky. 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 S. Rackovsky. The network helps show where S. Rackovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Rackovsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 312 | |
| 2 | 1997 | 260 | |
| 3 | 1997 | 170 | |
| 4 | 1998 | 150 | |
| 5 | 1973 | 129 | |
| 6 | 1993 | 125 | |
| 7 | 1980 | 89 | |
| 8 | 1993 | 89 | |
| 9 | 1980 | 84 | |
| 10 | 1998 | 70 | |
| 11 | 2000 | 64 | |
| 12 | 2013 | 62 | |
| 13 | 1978 | 56 | |
| 14 | 1998 | 55 | |
| 15 | 1990 | 53 | |
| 16 | 1984 | 50 | |
| 17 | 1990 | 47 | |
| 18 | 1977 | 44 | |
| 19 | 1980 | 44 | |
| 20 | 1980 | 41 |
About S. Rackovsky
S. Rackovsky is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry and Genetics, having authored 89 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (56 papers), Enzyme Structure and Function (31 papers), RNA and protein synthesis mechanisms (31 papers), Machine Learning in Bioinformatics (27 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Bacterial Genetics and Biotechnology (5 papers), Fractal and DNA sequence analysis (5 papers) and Advanced Chemical Physics Studies (4 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Materials Chemistry (1.3k citations), Spectroscopy (349 citations), Physical and Theoretical Chemistry (135 citations) and Atomic and Molecular Physics, and Optics (406 citations). S. Rackovsky has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Harold A. Scheraga, Matthew R. Pincus, Adam Liwo, Ryszard J. Wawak, Jooyoung Lee, H. A. Scheraga, R. Silbey, Igor B. Kuznetsov, H. Scher and Hagai Meirovitch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Proteins Structure Function and Bioinformatics, Macromolecules, Biopolymers and Journal of Computational Chemistry.
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.