D. Zevin‐Sonkin
- Molecular Biology
- Pharmacology top 5%
- Computational Theory and Mathematics top 2%
- Cardiology and Cardiovascular Medicine
- Cellular and Molecular Neuroscience
- Co-authors
- Hermona SoreqDavid YaffeUri NudelMoshe ShaniY. CarmonDon J. KatcoffCatherine A. ProdyOra Goldberg
- Topics
- Cholinesterase and Neurodegenerative Diseases (9 papers)Computational Drug Discovery Methods (7 papers)RNA and protein synthesis mechanisms (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
D. Zevin‐Sonkin
24 papers receiving 887 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 670
- Pharmacology 295
- Computational Theory and Mathematics 197
- Cardiology and Cardiovascular Medicine 103
- Cellular and Molecular Neuroscience 80
Countries citing papers authored by D. Zevin‐Sonkin
This map shows the geographic impact of D. Zevin‐Sonkin'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 D. Zevin‐Sonkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Zevin‐Sonkin more than expected).
Fields of papers citing papers by D. Zevin‐Sonkin
This network shows the impact of papers produced by D. Zevin‐Sonkin. 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 D. Zevin‐Sonkin. The network helps show where D. Zevin‐Sonkin may publish in the future.
Co-authorship network of co-authors of D. Zevin‐Sonkin
This figure shows the co-authorship network connecting the top 25 collaborators of D. Zevin‐Sonkin. A scholar is included among the top collaborators of D. Zevin‐Sonkin 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 D. Zevin‐Sonkin. D. Zevin‐Sonkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 91 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 53 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 51 | |
| 11 | 154 | |
| 12 | 11 | |
| 13 | 23 | |
| 14 | Expression of acetylcholinesterase gene(s) in the human brain: molecular cloning evidence for cross-homologous sequences. | 2 |
| 15 | 14 | |
| 16 | 49 | |
| 17 | 99 | |
| 18 | 68 | |
| 19 | 1 | |
| 20 | 3 |
About D. Zevin‐Sonkin
D. Zevin‐Sonkin is a scholar working on Pharmacology, Computational Theory and Mathematics and Molecular Biology, having authored 25 papers that have together received 943 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (9 papers), Computational Drug Discovery Methods (7 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Pharmacology (295 citations), Computational Theory and Mathematics (197 citations) and Molecular Biology (670 citations). D. Zevin‐Sonkin has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Hermona Soreq, David Yaffe, Uri Nudel, Moshe Shani, Y. Carmon, Don J. Katcoff, Catherine A. Prody, Ora Goldberg, Averell Gnatt and H Zakut. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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.