Bahar Behsaz
Impact in
- Ecology top 5%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
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- Genomics and Phylogenetic Studies
- Gut microbiota and health
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Genomics and Phylogenetic Studies 8
- Biochemical and Structural Characterization 2
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
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- Microbial Natural Products and Biosynthesis 8
- Co-authors
- Pavel A. Pevzner (5 shared papers)Alexey Gurevich (5 shared papers)Derek M. Bickhart (1 shared paper)Jeffrey Yuan (1 shared paper)Mikhail Kolmogorov (1 shared paper)Kristen L. Kuhn (1 shared paper)Mikhail Rayko (1 shared paper)Timothy P. L. Smith (1 shared paper)
- Journals
- Nature Communications (4 papers)Nature Methods (1 paper)The Journal of Antibiotics (1 paper)Bioinformatics (1 paper)Nature Computational Science (1 paper)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Bahar Behsaz
11 papers receiving 849 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Ecology 302
- Molecular Biology 577
- Horticulture 8
- Microbiology 38
- Molecular Medicine 29
Countries citing papers authored by Bahar Behsaz
This map shows the geographic impact of Bahar Behsaz'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 Bahar Behsaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bahar Behsaz more than expected).
Fields of papers citing papers by Bahar Behsaz
This network shows the impact of papers produced by Bahar Behsaz. 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 Bahar Behsaz. The network helps show where Bahar Behsaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Bahar Behsaz, 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 | metaFlye: scalable long-read metagenome assembly using repeat graphs Hit paper breakdown → | 2020 | 527 |
| 2 | 2015 | 137 | |
| 3 | 2021 | 49 | |
| 4 | 2019 | 32 | |
| 5 | 2015 | 23 | |
| 6 | 2018 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2024 | 14 | |
| 9 | 2017 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2024 | 6 | |
| 12 | 2021 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Bahar Behsaz
Bahar Behsaz is a scholar working on Molecular Biology, Pharmacology, Ecology, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 14 papers that have together received 852 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (8 papers), Genomics and Phylogenetic Studies (8 papers), Biochemical and Structural Characterization (2 papers), Machine Learning in Bioinformatics (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Bacteriophages and microbial interactions (1 paper), RNA and protein synthesis mechanisms (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Ecology (302 citations), Molecular Biology (577 citations), Horticulture (8 citations), Microbiology (38 citations) and Molecular Medicine (29 citations). Bahar Behsaz has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Pavel A. Pevzner, Alexey Gurevich, Derek M. Bickhart, Jeffrey Yuan, Mikhail Kolmogorov, Kristen L. Kuhn, Mikhail Rayko, Timothy P. L. Smith, İnanç Birol and Benjamin P. Vandervalk. Their work appears in journals such as Nature Communications, Nature Methods, The Journal of Antibiotics, Bioinformatics and Nature Computational Science.
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.