Igor Tolstoy

10.8k total citations · 2 hit papers
15 papers, 2.3k citations indexed

About

Igor Tolstoy is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Igor Tolstoy has authored 15 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Ecology and 3 papers in Plant Science. Recurrent topics in Igor Tolstoy's work include Genomics and Phylogenetic Studies (10 papers), Bacteriophages and microbial interactions (8 papers) and Microbial Community Ecology and Physiology (4 papers). Igor Tolstoy is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Bacteriophages and microbial interactions (8 papers) and Microbial Community Ecology and Physiology (4 papers). Igor Tolstoy collaborates with scholars based in United States, Canada and United Kingdom. Igor Tolstoy's co-authors include Tatiana Tatusova, Stacy Ciufo, Boris Fedorov, Kathleen O’Neill, William Klimke, Vyacheslav Brover, Patrick F. McDermott, Michael Feldgarden, Glenn E. Tillman and Chih-Hao Hsu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Igor Tolstoy

15 papers receiving 2.2k 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.

Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates

2019 851 citations Michael Feldgarden, Vyacheslav Brover et al. Antimicrobial Agents and Chemotherapy profile →
Gene: a gene-centered information resource at NCBI

2014 487 citations Garth Brown, Kenneth Katz et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Igor Tolstoy United States	10	1.3k	580	445	355	306	15	2.3k
Bertrand Néron France	15	1.6k 1.2×	871 1.5×	517 1.2×	330 0.9×	505 1.7×	20	2.7k
Marco Galardini Italy	23	1.5k 1.1×	582 1.0×	302 0.7×	262 0.7×	272 0.9×	43	2.5k
Yong Liang China	21	1.6k 1.2×	651 1.1×	227 0.5×	329 0.9×	357 1.2×	48	3.1k
Elżbieta Brzuszkiewicz Germany	24	1.5k 1.1×	438 0.8×	389 0.9×	370 1.0×	835 2.7×	38	3.0k
Liancheng Lei China	32	1.9k 1.4×	1.6k 2.8×	294 0.7×	282 0.8×	171 0.6×	153	3.8k
Lejla Imamovic Spain	19	624 0.5×	477 0.8×	441 1.0×	139 0.4×	277 0.9×	23	1.6k
Emma Griffiths Canada	24	1.6k 1.2×	539 0.9×	428 1.0×	170 0.5×	190 0.6×	53	2.8k
Alain Dufour France	32	1.8k 1.4×	620 1.1×	383 0.9×	485 1.4×	344 1.1×	67	2.8k
Miriam Barlow United States	25	1.0k 0.8×	290 0.5×	1.2k 2.8×	196 0.6×	412 1.3×	38	2.3k
Mark L. Lawrence United States	33	1.4k 1.0×	611 1.1×	166 0.4×	807 2.3×	854 2.8×	174	3.8k

Countries citing papers authored by Igor Tolstoy

Since Specialization

Citations

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

Fields of papers citing papers by Igor Tolstoy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Tolstoy

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

All Works

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15 of 15 papers shown

He, Yan, Seung Kyou You, Igor Tolstoy, et al.. (2025). A trimodal protein language model enables advanced protein searches. Nature Biotechnology. 2 indexed citations

Tolstoy, Igor, et al.. (2025). Integrating Sequence- and Structure-Based Similarity Metrics for the Demarcation of Multiple Viral Taxonomic Levels. Viruses. 17(5). 642–642. 1 indexed citations

Yutin, Natalya, Igor Tolstoy, Pascal Mutz, et al.. (2024). DNA polymerase swapping in Caudoviricetes bacteriophages. Virology Journal. 21(1). 200–200. 2 indexed citations

Hehnly, Christine, Aiqin Shi, Paddy Ssentongo, et al.. (2022). Type IV Pili Are a Critical Virulence Factor in Clinical Isolates of Paenibacillus thiaminolyticus. mBio. 13(6). e0268822–e0268822. 3 indexed citations

Yutin, Natalya, Sean Benler, Yuri I. Wolf, et al.. (2021). Analysis of metagenome-assembled viral genomes from the human gut reveals diverse putative CrAss-like phages with unique genomic features. Nature Communications. 12(1). 91 indexed citations

Moya-Beltrán, Ana, Kira S. Makarova, Lillian G. Acuña, et al.. (2021). Evolution of Type IV CRISPR-Cas Systems: Insights from CRISPR Loci in Integrative Conjugative Elements of Acidithiobacillia. The CRISPR Journal. 4(5). 656–672. 22 indexed citations

Turner, Dann, Evelien M. Adriaenssens, Igor Tolstoy, & Andrew M. Kropinski. (2021). Phage Annotation Guide: Guidelines for Assembly and High-Quality Annotation. PubMed. 2(4). 170–182. 47 indexed citations

Feldgarden, Michael, Vyacheslav Brover, Daniel H. Haft, et al.. (2019). Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates. Antimicrobial Agents and Chemotherapy. 63(11). 851 indexed citations breakdown →

Tolstoy, Igor, Andrew M. Kropinski, & J. Rodney Brister. (2017). Bacteriophage Taxonomy: An Evolving Discipline. Methods in molecular biology. 1693. 57–71. 34 indexed citations

10.

Galperin, Michael Y., Vyacheslav Brover, Igor Tolstoy, & Natalya Yutin. (2016). Phylogenomic analysis of the family Peptostreptococcaceae (Clostridium cluster XI) and proposal for reclassification of Clostridium litorale (Fendrich et al. 1991) and Eubacterium acidaminophilum (Zindel et al. 1989) as Peptoclostridium litorale gen. nov. comb. nov. and Peptoclostridium acidaminophilum comb. nov.. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 66(12). 5506–5513. 61 indexed citations

11.

Tatusova, Tatiana, Stacy Ciufo, Scott Federhen, et al.. (2014). Update on RefSeq microbial genomes resources. Nucleic Acids Research. 43(D1). D599–D605. 101 indexed citations

12.

Brown, Garth, Kenneth Katz, Craig Wallin, et al.. (2014). Gene: a gene-centered information resource at NCBI. Nucleic Acids Research. 43(D1). D36–D42. 487 indexed citations breakdown →

13.

Tatusova, Tatiana, Stacy Ciufo, Boris Fedorov, et al.. (2014). About Prokaryotic Genome Processing and Tools. 3 indexed citations

14.

Tatusova, Tatiana, Stacy Ciufo, Boris Fedorov, Kathleen O’Neill, & Igor Tolstoy. (2013). RefSeq microbial genomes database: new representation and annotation strategy. Nucleic Acids Research. 42(D1). D553–D559. 360 indexed citations

15.

Klimke, William, Richa Agarwala, Azat Badretdin, et al.. (2008). The National Center for Biotechnology Information's Protein Clusters Database. Nucleic Acids Research. 37(suppl_1). D216–D223. 205 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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