Orly Dym
- Molecular Biology top 1%
- Protein Structure and Dynamics 20
- RNA and protein synthesis mechanisms 9
- Enzyme Catalysis and Immobilization 7
- Photosynthetic Processes and Mechanisms 5
- Biochemical and Molecular Research 4
- Biotechnology top 1%
- Biochemistry top 2%
- Materials Chemistry top 5%
- Enzyme Structure and Function 21
- Toxicology top 2%
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- Peptidase Inhibition and Analysis 6
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- Computational Drug Discovery Methods 5
- Co-authors
- Shira AlbeckDan S. TawfikDavid EisenbergOlga KhersonskyDavid BakerDaniela RöthlisbergerK. N. HoukAndrew M. Wollacott
- Journals
- Journal of Molecular Biology (10 papers)Proceedings of the National Academy of Sciences (8 papers)Biochemistry (4 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Orly Dym
72 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 4.1k
- Biotechnology 453
- Biochemistry 210
- Materials Chemistry 1.1k
- Toxicology 76
Countries citing papers authored by Orly Dym
This map shows the geographic impact of Orly Dym'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 Orly Dym with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orly Dym more than expected).
Fields of papers citing papers by Orly Dym
This network shows the impact of papers produced by Orly Dym. 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 Orly Dym. The network helps show where Orly Dym may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Orly Dym, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 17 | |
| 9 | SARS-CoV-2 variant prediction and antiviral drug design are enabled by RBD in vitro evolutionbreakdown → | 2021 | 230 |
| 10 | 2020 | 15 | |
| 11 | 2019 | 25 | |
| 12 | 2019 | 23 | |
| 13 | 2013 | 8 | |
| 14 | 2012 | 189 | |
| 15 | 2011 | 130 | |
| 16 | 2009 | 14 | |
| 17 | 2008 | 37 | |
| 18 | 2008 | 13 | |
| 19 | 2004 | 197 | |
| 20 | 2004 | 54 |
About Orly Dym
Orly Dym is a scholar working on Molecular Biology, Biotechnology, Biochemistry, Materials Chemistry and Cancer Research, having authored 76 papers that have together received 5.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (21 papers), Protein Structure and Dynamics (20 papers), RNA and protein synthesis mechanisms (9 papers), Enzyme Catalysis and Immobilization (7 papers), Peptidase Inhibition and Analysis (6 papers), Computational Drug Discovery Methods (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Biotechnology (453 citations), Biochemistry (210 citations), Materials Chemistry (1.1k citations) and Toxicology (76 citations). Orly Dym has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Shira Albeck, Dan S. Tawfik, David Eisenberg, Olga Khersonsky, David Baker, Daniela Röthlisberger, K. N. Houk, Andrew M. Wollacott, Joel L. Sussman and Sarel J. Fleishman. Their work appears in journals such as Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Biochemistry, Protein Science and Proteins Structure Function and Bioinformatics.
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.