Nir Ben‐Tal
- Molecular Biology top 0.2%
- Protein Structure and Dynamics 67
- Lipid Membrane Structure and Behavior 36
- RNA and protein synthesis mechanisms 35
- Machine Learning in Bioinformatics 21
- Genomics and Phylogenetic Studies 18
- Microbial Metabolic Engineering and Bioproduction 13
- Cell Biology top 0.5%
- Microbiology top 1%
- Genetics top 0.5%
- Sensory Systems top 1%
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- Enzyme Structure and Function 21
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- Spectroscopy and Quantum Chemical Studies 16
- Co-authors
- Tal PupkoEric MartzHaim AshkenazyItay MayroseFabian GlaserBarry HonigShiran AbadiElona Erez
- Journals
- Biophysical Journal (24 papers)Journal of Molecular Biology (11 papers)Structure (10 papers)
- Partner nations
- IsraelUnited StatesTürkiye
In The Last Decade
Nir Ben‐Tal
184 papers receiving 15.5k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Molecular Biology 11.8k
- Cell Biology 1.3k
- Microbiology 419
- Genetics 1.8k
- Sensory Systems 302
Countries citing papers authored by Nir Ben‐Tal
This map shows the geographic impact of Nir Ben‐Tal'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 Nir Ben‐Tal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Ben‐Tal more than expected).
Fields of papers citing papers by Nir Ben‐Tal
This network shows the impact of papers produced by Nir Ben‐Tal. 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 Nir Ben‐Tal. The network helps show where Nir Ben‐Tal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nir Ben‐Tal, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 41 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 64 | |
| 13 | 2020 | 25 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 137 | |
| 16 | 2018 | 27 | |
| 17 | 2018 | 65 | |
| 18 | 2018 | 40 | |
| 19 | 2017 | 58 | |
| 20 | 2017 | 88 |
About Nir Ben‐Tal
Nir Ben‐Tal is a scholar working on Molecular Biology, Microbiology and Acoustics and Ultrasonics, having authored 186 papers that have together received 15.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (67 papers), Lipid Membrane Structure and Behavior (36 papers), RNA and protein synthesis mechanisms (35 papers), Machine Learning in Bioinformatics (21 papers), Enzyme Structure and Function (21 papers), Genomics and Phylogenetic Studies (18 papers), Spectroscopy and Quantum Chemical Studies (16 papers) and Microbial Metabolic Engineering and Bioproduction (13 papers). The work is most often cited by research in Molecular Biology (11.8k citations), Cell Biology (1.3k citations) and Microbiology (419 citations). Nir Ben‐Tal has collaborated with scholars based in Israel, United States and Türkiye. Frequent co-authors include Tal Pupko, Eric Martz, Haim Ashkenazy, Itay Mayrose, Fabian Glaser, Barry Honig, Shiran Abadi, Elona Erez, Sarel J. Fleishman and Amit Kessel. Their work appears in journals such as Biophysical Journal, Journal of Molecular Biology, Structure, Bioinformatics and Proceedings of the National Academy of Sciences.
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.