Alexey Gurevich

48.0k total citations · 6 hit papers
30 papers, 28.4k citations indexed

About

Alexey Gurevich is a scholar working on Molecular Biology, Pharmacology and Ecology. According to data from OpenAlex, Alexey Gurevich has authored 30 papers receiving a total of 28.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Pharmacology and 9 papers in Ecology. Recurrent topics in Alexey Gurevich's work include Genomics and Phylogenetic Studies (21 papers), Microbial Natural Products and Biosynthesis (12 papers) and Microbial Community Ecology and Physiology (7 papers). Alexey Gurevich is often cited by papers focused on Genomics and Phylogenetic Studies (21 papers), Microbial Natural Products and Biosynthesis (12 papers) and Microbial Community Ecology and Physiology (7 papers). Alexey Gurevich collaborates with scholars based in Russia, United States and Germany. Alexey Gurevich's co-authors include Glenn Tesler, Nikolay Vyahhi, Vladislav Saveliev, Andrey D. Prjibelski, Dmitry Antipov, Pavel A. Pevzner, Anton Bankevich, Sergey Nurk, Max A. Alekseyev and Alexander Sirotkin and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Alexey Gurevich

29 papers receiving 28.2k citations

Hit Papers

align trajectories sort by overperformance

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.

SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing

2012 18.0k citations Anton Bankevich, Sergey Nurk et al. Journal of Computational Biology profile →
QUAST: quality assessment tool for genome assemblies

2013 6.6k citations Alexey Gurevich, Vladislav Saveliev et al. Bioinformatics profile →
Assembling Single-Cell Genomes and Mini-Metagenomes From Chimeric MDA Products

2013 1.1k citations Sergey Nurk, Anton Bankevich et al. Journal of Computational Biology profile →
Versatile genome assembly evaluation with QUAST-LG

2018 804 citations Alla Mikheenko, Andrey D. Prjibelski et al. Bioinformatics profile →
metaFlye: scalable long-read metagenome assembly using repeat graphs

2020 527 citations Mikhail Kolmogorov, Derek M. Bickhart et al. Nature Methods profile →
MetaQUAST: evaluation of metagenome assemblies

2015 393 citations Alla Mikheenko, Vladislav Saveliev et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexey Gurevich Russia	20	15.3k	8.1k	5.9k	3.5k	3.5k	30	28.4k
Nikolay Vyahhi Russia	6	13.0k 0.9×	7.0k 0.9×	5.2k 0.9×	3.2k 0.9×	3.1k 0.9×	7	24.8k
Dmitry Antipov Russia	16	12.2k 0.8×	6.9k 0.9×	4.8k 0.8×	3.1k 0.9×	2.7k 0.8×	29	23.5k
Andrey D. Prjibelski Russia	15	11.7k 0.8×	6.4k 0.8×	4.6k 0.8×	2.9k 0.8×	2.6k 0.7×	25	22.5k
Sergey Nurk United States	11	12.2k 0.8×	6.9k 0.8×	4.6k 0.8×	2.7k 0.8×	2.5k 0.7×	13	22.6k
Glenn Tesler United States	23	15.8k 1.0×	7.7k 0.9×	6.8k 1.1×	3.4k 1.0×	3.3k 1.0×	36	28.8k
Max A. Alekseyev United States	14	10.6k 0.7×	5.7k 0.7×	4.1k 0.7×	2.6k 0.7×	2.3k 0.7×	35	19.9k
Anton Bankevich Russia	8	10.2k 0.7×	5.6k 0.7×	3.9k 0.7×	2.5k 0.7×	2.3k 0.7×	13	19.3k
Alexander Sirotkin Russia	8	10.0k 0.7×	5.5k 0.7×	3.8k 0.6×	2.5k 0.7×	2.3k 0.7×	22	19.1k
Son Pham United States	10	9.8k 0.6×	5.3k 0.6×	3.8k 0.6×	2.4k 0.7×	2.2k 0.6×	15	18.5k
Ivica Letunić Germany	37	20.0k 1.3×	6.5k 0.8×	8.7k 1.5×	1.7k 0.5×	2.1k 0.6×	48	34.9k

Countries citing papers authored by Alexey Gurevich

Since Specialization

Citations

This map shows the geographic impact of Alexey Gurevich'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 Alexey Gurevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey Gurevich more than expected).

Fields of papers citing papers by Alexey Gurevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexey Gurevich. 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 Alexey Gurevich. The network helps show where Alexey Gurevich may publish in the future.

Co-authorship network of co-authors of Alexey Gurevich

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

All Works

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20 of 20 papers shown

Meyer, Fernando, et al.. (2025). CAMI Benchmarking Portal: online evaluation and ranking of metagenomic software. Nucleic Acids Research. 53(W1). W102–W109. 1 indexed citations

Bağcı, Caner, Luděk Sehnal, Kai Blin, et al.. (2024). BGC Atlas: a web resource for exploring the global chemical diversity encoded in bacterial genomes. Nucleic Acids Research. 53(D1). D618–D624. 13 indexed citations

Schmartz, Georges P, Sören L. Becker, Marcin Krawczyk, et al.. (2024). Exploring microbial diversity and biosynthetic potential in zoo and wildlife animal microbiomes. Nature Communications. 15(1). 8263–8263. 1 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

Leão, Tiago, Mingxun Wang, Ricardo Silva, et al.. (2022). NPOmix: A machine learning classifier to connect mass spectrometry fragmentation data to biosynthetic gene clusters. PNAS Nexus. 1(5). pgac257–pgac257. 16 indexed citations

Meyer, Fernando, David Koslicki, Adrian Fritz, et al.. (2021). Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit. Nature Protocols. 16(4). 1785–1801. 29 indexed citations

Cao, Liu, et al.. (2021). MolDiscovery: learning mass spectrometry fragmentation of small molecules. Nature Communications. 12(1). 3718–3718. 72 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

10.

Kunyavskaya, Olga, Azat Tagirdzhanov, Andrés Mauricio Caraballo‐Rodríguez, et al.. (2021). Nerpa: A Tool for Discovering Biosynthetic Gene Clusters of Bacterial Nonribosomal Peptides. Metabolites. 11(10). 693–693. 15 indexed citations

11.

Mikheenko, Alla, Andrey V. Bzikadze, Alexey Gurevich, Karen H. Miga, & Pavel A. Pevzner. (2020). TandemTools: mapping long reads and assessing/improving assembly quality in extra-long tandem repeats. Bioinformatics. 36(Supplement_1). i75–i83. 31 indexed citations

12.

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 →

13.

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

14.

Gurevich, Alexey, Alla Mikheenko, Alexander Shlemov, et al.. (2018). Increased diversity of peptidic natural products revealed by modification-tolerant database search of mass spectra. Nature Microbiology. 3(3). 319–327. 77 indexed citations

15.

Mohimani, Hosein, Alexey Gurevich, Alexander Shlemov, et al.. (2018). Dereplication of microbial metabolites through database search of mass spectra. Nature Communications. 9(1). 4035–4035. 233 indexed citations

16.

Edlund, Anna, Neha Garg, Hosein Mohimani, et al.. (2017). Metabolic Fingerprints from the Human Oral Microbiome Reveal a Vast Knowledge Gap of Secreted Small Peptidic Molecules. mSystems. 2(4). 19 indexed citations

17.

Mohimani, Hosein, Alexey Gurevich, Alla Mikheenko, et al.. (2016). Dereplication of peptidic natural products through database search of mass spectra. Nature Chemical Biology. 13(1). 30–37. 180 indexed citations

18.

Mikheenko, Alla, Vladislav Saveliev, & Alexey Gurevich. (2015). MetaQUAST: evaluation of metagenome assemblies. Bioinformatics. 32(7). 1088–1090. 393 indexed citations breakdown →

19.

Gurevich, Alexey, Vladislav Saveliev, Nikolay Vyahhi, & Glenn Tesler. (2013). QUAST: quality assessment tool for genome assemblies. Bioinformatics. 29(8). 1072–1075. 6616 indexed citations breakdown →

20.

Bankevich, Anton, Sergey Nurk, Dmitry Antipov, et al.. (2012). SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing. Journal of Computational Biology. 19(5). 455–477. 17957 indexed citations breakdown →

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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