Bahar Behsaz

2.6k total citations · 1 hit paper
14 papers, 852 citations indexed

About

Bahar Behsaz is a scholar working on Molecular Biology, Pharmacology and Ecology. According to data from OpenAlex, Bahar Behsaz has authored 14 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Pharmacology and 3 papers in Ecology. Recurrent topics in Bahar Behsaz's work include Microbial Natural Products and Biosynthesis (8 papers), Genomics and Phylogenetic Studies (8 papers) and Biochemical and Structural Characterization (2 papers). Bahar Behsaz is often cited by papers focused on Microbial Natural Products and Biosynthesis (8 papers), Genomics and Phylogenetic Studies (8 papers) and Biochemical and Structural Characterization (2 papers). Bahar Behsaz collaborates with scholars based in United States, Russia and Canada. Bahar Behsaz's co-authors include Pavel A. Pevzner, Alexey Gurevich, Mikhail Rayko, Jeffrey Yuan, Timothy P. L. Smith, Mikhail Kolmogorov, Derek M. Bickhart, Kristen L. Kuhn, İnanç Birol and Benjamin P. Vandervalk and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Bioinformatics.

In The Last Decade

Bahar Behsaz

11 papers receiving 849 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

metaFlye: scalable long-read metagenome assembly using repeat graphs

2020 527 citations Mikhail Kolmogorov, Derek M. Bickhart et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bahar Behsaz United States	10	577	302	148	94	69	14	852
Tue Sparholt Jørgensen Denmark	14	500 0.9×	169 0.6×	127 0.9×	188 2.0×	73 1.1×	42	772
Dimitri Stamatis United States	6	493 0.9×	241 0.8×	104 0.7×	44 0.5×	56 0.8×	7	646
Chang Guo China	13	387 0.7×	126 0.4×	99 0.7×	79 0.8×	112 1.6×	17	871
Hao Ding China	17	262 0.5×	170 0.6×	261 1.8×	50 0.5×	88 1.3×	39	702
Jinfang Zheng China	12	544 0.9×	205 0.7×	150 1.0×	29 0.3×	31 0.4×	27	818
Ségolène Caboche France	15	486 0.8×	83 0.3×	124 0.8×	199 2.1×	51 0.7×	28	811
Brian V. Tsu United States	7	441 0.8×	107 0.4×	159 1.1×	33 0.4×	94 1.4×	7	693
Tammi Vesth Denmark	13	426 0.7×	107 0.4×	134 0.9×	211 2.2×	37 0.5×	15	714
Kuniko Teruya Japan	12	286 0.5×	99 0.3×	127 0.9×	98 1.0×	41 0.6×	25	558

Countries citing papers authored by Bahar Behsaz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bahar Behsaz

This figure shows the co-authorship network connecting the top 25 collaborators of Bahar Behsaz. A scholar is included among the top collaborators of Bahar Behsaz 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 Bahar Behsaz. Bahar Behsaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Caraballo‐Rodríguez, Andrés Mauricio, Andrés Cumsille, Bahar Behsaz, et al.. (2025). The undiscovered natural product potential of Actinomycetes. The Journal of Antibiotics. 79(2). 80–92.

Hall, Thomas J., Mayank Tandon, S. S. Ravi, et al.. (2025). Identifying variants of molecules through database search of mass spectra. Nature Computational Science. 5(12). 1227–1237.

Yasaka, Tyler M., Liang Lü, Aditya Bhagwat, et al.. (2024). Fast mass spectrometry search and clustering of untargeted metabolomics data. Nature Biotechnology. 42(11). 1672–1677. 14 indexed citations

Yan, Donghui, Xiaofeng Wang, Liu Cao, et al.. (2024). Discovering type I cis-AT polyketides through computational mass spectrometry and genome mining with Seq2PKS. Nature Communications. 15(1). 5356–5356. 6 indexed citations

Cao, Liu, Samuel T. Slocum, Bryan L. Roth, et al.. (2023). HypoRiPPAtlas as an Atlas of hypothetical natural products for mass spectrometry database search. Nature Communications. 14(1). 4219–4219. 19 indexed citations

Yan, Donghui, et al.. (2023). AdenPredictor: accurate prediction of the adenylation domain specificity of nonribosomal peptide biosynthetic gene clusters in microbial genomes. Bioinformatics. 39(Supplement_1). i40–i46. 11 indexed citations

Behsaz, Bahar, Edna Bode, Alexey Gurevich, et al.. (2021). Publisher Correction: Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery. Nature Communications. 12(1). 4318–4318.

Behsaz, Bahar, Edna Bode, Alexey Gurevich, et al.. (2021). Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery. Nature Communications. 12(1). 3225–3225. 49 indexed citations

Kolmogorov, Mikhail, Derek M. Bickhart, Bahar Behsaz, et al.. (2020). metaFlye: scalable long-read metagenome assembly using repeat graphs. Nature Methods. 17(11). 1103–1110. 527 indexed citations breakdown →

10.

Behsaz, Bahar, Hosein Mohimani, Alexey Gurevich, et al.. (2019). De Novo Peptide Sequencing Reveals Many Cyclopeptides in the Human Gut and Other Environments. Cell Systems. 10(1). 99–108.e5. 32 indexed citations

11.

Fisher, Mark, Jingjing Zhang, Nicolas L. Taylor, et al.. (2018). A family of small, cyclic peptides buried in preproalbumin since the Eocene epoch. Plant Direct. 2(2). 21 indexed citations

12.

Brown, Tanya M., S. Austin Hammond, Bahar Behsaz, et al.. (2017). De novo assembly of the ringed seal (Pusa hispida) blubber transcriptome: A tool that enables identification of molecular health indicators associated with PCB exposure. Aquatic Toxicology. 185. 48–57. 13 indexed citations

13.

Warren, René L., Chen Yang, Benjamin P. Vandervalk, et al.. (2015). LINKS: Scalable, alignment-free scaffolding of draft genomes with long reads. GigaScience. 4(1). 35–35. 137 indexed citations

14.

Birol, İnanç, et al.. (2015). De novo Transcriptome Assemblies of Rana (Lithobates) catesbeiana and Xenopus laevis Tadpole Livers for Comparative Genomics without Reference Genomes. PLoS ONE. 10(6). e0130720–e0130720. 23 indexed citations

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.

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