Shaul Pollak
Impact in
- Endocrinology top 10%
- Ecology top 10%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
Papers in
-
- Bacterial biofilms and quorum sensing 6
- Genomics and Phylogenetic Studies 4
- Bacillus and Francisella bacterial research 4
- Microbial Metabolic Engineering and Bioproduction 2
- Ecology 9
- Microbial Community Ecology and Physiology 8
- Bacteriophages and microbial interactions 2
- Co-authors
- Avigdor Eldar (8 shared papers)Otto X. Cordero (6 shared papers)Shira Omer Bendori (4 shared papers)Matti Gralka (2 shared papers)Julia Schwartzman (3 shared papers)Uwe Sauer (2 shared papers)Sammy Pontrelli (2 shared papers)Rachel E. Szabo (2 shared papers)
- Journals
- Nature Microbiology (3 papers)PLoS Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science Advances (2 papers)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesIsraelAustria
In The Last Decade
Shaul Pollak
18 papers receiving 570 citations
Peers
Comparison fields: 5 of 73
- Endocrinology 41
- Ecology 189
- Genetics 173
- Biotechnology 47
- Molecular Biology 353
Countries citing papers authored by Shaul Pollak
This map shows the geographic impact of Shaul Pollak'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 Shaul Pollak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaul Pollak more than expected).
Fields of papers citing papers by Shaul Pollak
This network shows the impact of papers produced by Shaul Pollak. 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 Shaul Pollak. The network helps show where Shaul Pollak may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaul Pollak, 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 | 2014 | 69 | |
| 2 | 2023 | 67 | |
| 3 | 2022 | 67 | |
| 4 | 2017 | 66 | |
| 5 | 2021 | 62 | |
| 6 | 2016 | 57 | |
| 7 | 2016 | 54 | |
| 8 | 2021 | 30 | |
| 9 | 2016 | 27 | |
| 10 | 2022 | 21 | |
| 11 | 2015 | 16 | |
| 12 | 2011 | 12 | |
| 13 | 2025 | 9 | |
| 14 | 2023 | 6 | |
| 15 | 2018 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2026 | 0 |
About Shaul Pollak
Shaul Pollak is a scholar working on Molecular Biology, Ecology, Genetics, Biotechnology and Biomedical Engineering, having authored 19 papers that have together received 574 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (8 papers), Bacterial biofilms and quorum sensing (6 papers), Bacterial Genetics and Biotechnology (5 papers), Genomics and Phylogenetic Studies (4 papers), Bacillus and Francisella bacterial research (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bacteriophages and microbial interactions (2 papers) and Evolutionary Game Theory and Cooperation (2 papers). The work is most often cited by research in Endocrinology (41 citations), Ecology (189 citations), Genetics (173 citations), Biotechnology (47 citations) and Molecular Biology (353 citations). Shaul Pollak has collaborated with scholars based in United States, Israel and Austria. Frequent co-authors include Avigdor Eldar, Otto X. Cordero, Shira Omer Bendori, Matti Gralka, Julia Schwartzman, Uwe Sauer, Sammy Pontrelli, Rachel E. Szabo, Daniela Ledezma-Tejeida and Martin Wiedmann. Their work appears in journals such as Nature Microbiology, PLoS Biology, Proceedings of the National Academy of Sciences, Science Advances and PLoS Computational Biology.
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.