Efrat Ben‐Zeev
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Pulmonary and Respiratory Medicine
- Materials Chemistry
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Miriam EisensteinAlina ShitritOri KalidYevgeny BerdichevskyRaphael LamedItai BenharHanoch SenderowitzYael Marantz
- Topics
- RNA and protein synthesis mechanisms (7 papers)Computational Drug Discovery Methods (4 papers)Protein Structure and Dynamics (3 papers)
- Journals
- Nucleic Acids ResearchJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
Efrat Ben‐Zeev
23 papers receiving 428 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 325
- Computational Theory and Mathematics 87
- Pulmonary and Respiratory Medicine 61
- Materials Chemistry 51
- Radiology, Nuclear Medicine and Imaging 46
Countries citing papers authored by Efrat Ben‐Zeev
This map shows the geographic impact of Efrat Ben‐Zeev'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 Efrat Ben‐Zeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Efrat Ben‐Zeev more than expected).
Fields of papers citing papers by Efrat Ben‐Zeev
This network shows the impact of papers produced by Efrat Ben‐Zeev. 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 Efrat Ben‐Zeev. The network helps show where Efrat Ben‐Zeev may publish in the future.
Co-authorship network of co-authors of Efrat Ben‐Zeev
This figure shows the co-authorship network connecting the top 25 collaborators of Efrat Ben‐Zeev. A scholar is included among the top collaborators of Efrat Ben‐Zeev 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 Efrat Ben‐Zeev. Efrat Ben‐Zeev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 45 | |
| 7 | 25 | |
| 8 | 12 | |
| 9 | 19 | |
| 10 | 30 | |
| 11 | 0 | |
| 12 | 73 | |
| 13 | 24 | |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 42 | |
| 18 | 14 | |
| 19 | 21 | |
| 20 | 33 |
About Efrat Ben‐Zeev
Efrat Ben‐Zeev is a scholar working on Computational Theory and Mathematics, Molecular Biology and Infectious Diseases, having authored 24 papers that have together received 439 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Computational Drug Discovery Methods (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (87 citations), Molecular Biology (325 citations) and Cancer Research (41 citations). Efrat Ben‐Zeev has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Miriam Eisenstein, Alina Shitrit, Ori Kalid, Yevgeny Berdichevsky, Raphael Lamed, Itai Benhar, Hanoch Senderowitz, Yael Marantz, Martin Mense and Diana Wetmore. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.