Orit Gefen
Impact in
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Vibrio bacteria research studies
Papers in
- Genetics 12
- Evolution and Genetic Dynamics 8
- Bacterial Genetics and Biotechnology 7
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- Gene Regulatory Network Analysis 4
- Single-cell and spatial transcriptomics 2
- Gut microbiota and health 2
- Protein Structure and Dynamics 2
- Co-authors
- Nathalie Q. Balaban (15 shared papers)Ofer Fridman (3 shared papers)Irine Ronin (8 shared papers)Asher Brauner (1 shared paper)Irit Levin-Reisman (4 shared papers)Noam Shoresh (1 shared paper)Maskit Bar‐Meir (3 shared papers)Jiafeng Liu (2 shared papers)
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Methods (1 paper)FEMS Microbiology Reviews (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- IsraelUnited StatesChina
In The Last Decade
Orit Gefen
13 papers receiving 3.2k citations
Orit Gefen's Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Medicine 1.0k
- Endocrinology 389
- Microbiology 264
- Genetics 1.0k
- Applied Microbiology and Biotechnology 60
Countries citing papers authored by Orit Gefen
This map shows the geographic impact of Orit Gefen'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 Orit Gefen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orit Gefen more than expected).
Fields of papers citing papers by Orit Gefen
This network shows the impact of papers produced by Orit Gefen. 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 Orit Gefen. The network helps show where Orit Gefen may publish in the future.
Co-authors
The 23 scholars most cited alongside Orit Gefen, 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 | Distinguishing between resistance, tolerance and persistence to antibiotic treatment Hit paper breakdown → | 2016 | 1095 |
| 2 | Antibiotic tolerance facilitates the evolution of resistance Hit paper breakdown → | 2017 | 900 |
| 3 | Effect of tolerance on the evolution of antibiotic resistance under drug combinations Hit paper breakdown → | 2020 | 343 |
| 4 | 2009 | 243 | |
| 5 | 2013 | 144 | |
| 6 | 2008 | 128 | |
| 7 | 2010 | 126 | |
| 8 | 2017 | 107 | |
| 9 | 2021 | 63 | |
| 10 | 2016 | 29 | |
| 11 | 2008 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2022 | 10 | |
| 14 | 2026 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Orit Gefen
Orit Gefen is a scholar working on Genetics, Molecular Biology, Molecular Medicine, Ecology and Computational Theory and Mathematics, having authored 16 papers that have together received 3.2k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (8 papers), Bacterial Genetics and Biotechnology (7 papers), Gene Regulatory Network Analysis (4 papers), Antibiotic Resistance in Bacteria (3 papers), Single-cell and spatial transcriptomics (2 papers), Gut microbiota and health (2 papers), Protein Structure and Dynamics (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Molecular Medicine (1.0k citations), Endocrinology (389 citations), Microbiology (264 citations), Genetics (1.0k citations) and Applied Microbiology and Biotechnology (60 citations). Orit Gefen has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Nathalie Q. Balaban, Ofer Fridman, Irine Ronin, Asher Brauner, Irit Levin-Reisman, Noam Shoresh, Maskit Bar‐Meir, Jiafeng Liu, Jacob Strahilevitz and Chana Gabay. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences, Nature Methods, FEMS Microbiology Reviews and Clinical Infectious Diseases.
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.