Anton Suvorov

1.7k total citations
34 papers, 820 citations indexed

About

Anton Suvorov is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Anton Suvorov has authored 34 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Genetics and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Anton Suvorov's work include Genomics and Phylogenetic Studies (11 papers), Animal Behavior and Reproduction (6 papers) and Plant and animal studies (6 papers). Anton Suvorov is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Animal Behavior and Reproduction (6 papers) and Plant and animal studies (6 papers). Anton Suvorov collaborates with scholars based in United States, Russia and Japan. Anton Suvorov's co-authors include Seth Bybee, Mao Fujimoto, Daniel R. Schrider, Camilla R. Sharkey, Nathan P. Lord, Seunggwan Shin, Duane D. McKenna, Gavin J. Martin, Mark Clement and Daniel R. Matute and has published in prestigious journals such as Bioinformatics, PLoS ONE and Current Biology.

In The Last Decade

Anton Suvorov

31 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anton Suvorov United States 15 294 245 242 185 116 34 820
Matthew D. MacManes United States 19 300 1.0× 392 1.6× 335 1.4× 409 2.2× 53 0.5× 52 1.1k
Anna Runemark Sweden 18 446 1.5× 105 0.4× 514 2.1× 239 1.3× 114 1.0× 49 977
Chung‐Ping Lin Taiwan 20 538 1.8× 266 1.1× 653 2.7× 300 1.6× 385 3.3× 68 1.3k
James Starrett United States 17 546 1.9× 315 1.3× 225 0.9× 180 1.0× 47 0.4× 36 905
Mark D. Scherz Germany 16 258 0.9× 259 1.1× 298 1.2× 173 0.9× 39 0.3× 77 936
Matthew L. M. Lim Singapore 18 404 1.4× 156 0.6× 556 2.3× 130 0.7× 110 0.9× 23 1.1k
Efrat Gavish‐Regev Israel 16 285 1.0× 173 0.7× 334 1.4× 177 1.0× 271 2.3× 51 866
Takahiko Hariyama Japan 18 280 1.0× 229 0.9× 434 1.8× 164 0.9× 172 1.5× 84 1.3k
Guila Ganem France 19 519 1.8× 102 0.4× 424 1.8× 429 2.3× 48 0.4× 53 1.1k
Marc Branham United States 21 527 1.8× 440 1.8× 778 3.2× 325 1.8× 245 2.1× 65 1.3k

Countries citing papers authored by Anton Suvorov

Since Specialization
Citations

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

Fields of papers citing papers by Anton Suvorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anton Suvorov

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

All Works

20 of 20 papers shown
1.
Beatty, Christopher D., Tara McAllister, John C. Abbott, et al.. (2025). Elevational and oceanic barriers shape the distribution, dispersal, and diversity of Aotearoa’s Kapokapowai ( Uropetala ) dragonflies. Evolution. 79(10). 2219–2235. 1 indexed citations
2.
Beatty, Christopher D., et al.. (2025). Newly sequenced genomes reveal patterns of gene family expansion in select dragonflies (Odonata: Anisoptera). Insect Systematics and Diversity. 9(4). 1 indexed citations
3.
Beatty, Christopher D., Manpreet K. Kohli, John C. Abbott, et al.. (2024). A molecular phylogeny of the Petaluridae (Odonata: Anisoptera): A 160-Million-Year-Old story of drift and extinction. Molecular Phylogenetics and Evolution. 200. 108185–108185. 5 indexed citations
4.
Syed, Zeeshan Ali, Kirill Borziak, Patrick O’Grady, et al.. (2024). Genomics of a sexually selected sperm ornament and female preference in Drosophila. Nature Ecology & Evolution. 9(2). 336–348. 2 indexed citations
5.
Suvorov, Anton & Daniel R. Schrider. (2024). Reliable estimation of tree branch lengths using deep neural networks. PLoS Computational Biology. 20(8). e1012337–e1012337. 3 indexed citations
6.
Bybee, Seth, Jessica L. Ware, John C. Abbott, et al.. (2024). Interactions between sexual signaling and wing size drive ecology and evolution of wing colors in Odonata. Scientific Reports. 14(1). 25034–25034. 2 indexed citations
7.
Gao, Jian‐Jun, Olga Barmina, Ammon Thompson, et al.. (2022). Secondary reversion to sexual monomorphism associated with tissue‐specific loss of doublesex expression. Evolution. 76(9). 2089–2104. 3 indexed citations
8.
Tanaka, Kohtaro, Olga Barmina, Ammon Thompson, et al.. (2022). Evolution and development of male-specific leg brushes in Drosophilidae. Development Genes and Evolution. 232(5-6). 89–102. 1 indexed citations
9.
York, Ryan A., Jenn M. Coughlan, Anton Suvorov, et al.. (2022). The evolutionary trajectory of drosophilid walking. Current Biology. 32(14). 3005–3015.e6. 11 indexed citations
10.
Suvorov, Anton, Céline Scornavacca, Mao Fujimoto, et al.. (2021). Deep Ancestral Introgression Shapes Evolutionary History of Dragonflies and Damselflies. Systematic Biology. 71(3). 526–546. 47 indexed citations
11.
Suvorov, Anton, Bernard Kim, Jeremy Wang, et al.. (2021). Widespread introgression across a phylogeny of 155 Drosophila genomes. Current Biology. 32(1). 111–123.e5. 138 indexed citations
12.
Bybee, Seth, Vincent J. Kalkman, Robert J. Erickson, et al.. (2021). Phylogeny and classification of Odonata using targeted genomics. Molecular Phylogenetics and Evolution. 160. 107115–107115. 54 indexed citations
13.
Xue, Xia, et al.. (2020). Genome analysis ofPlectus murrayi, a nematode from continental Antarctica. G3 Genes Genomes Genetics. 11(1). 5 indexed citations
14.
Suvorov, Anton, et al.. (2019). Accurate Inference of Tree Topologies from Multiple Sequence Alignments Using Deep Learning. Systematic Biology. 69(2). 221–233. 55 indexed citations
15.
Diray‐Arce, Joann, Anton Suvorov, Jacob A. O’Brien, et al.. (2019). Identification and evolutionary characterization of salt-responsive transcription factors in the succulent halophyte Suaeda fruticosa. PLoS ONE. 14(9). e0222940–e0222940. 10 indexed citations
17.
Bybee, Seth, Alex Córdoba‐Aguilar, M. Catherine Duryea, et al.. (2016). Odonata (dragonflies and damselflies) as a bridge between ecology and evolutionary genomics. Frontiers in Zoology. 13(1). 46–46. 79 indexed citations
18.
Fujimoto, Mao, Anton Suvorov, Nicholas O. Jensen, Mark Clement, & Seth Bybee. (2016). Detecting false positive sequence homology: a machine learning approach. BMC Bioinformatics. 17(1). 101–101. 17 indexed citations
19.
Suvorov, Anton, Viola Nolte, Ram Vinay Pandey, et al.. (2013). Intra-Specific Regulatory Variation in Drosophila pseudoobscura. PLoS ONE. 8(12). e83547–e83547. 21 indexed citations
20.
Palmieri, Nicola, Viola Nolte, Anton Suvorov, Carolin Kosiol, & Christian Schlötterer. (2012). Evaluation of Different Reference Based Annotation Strategies Using RNA-Seq – A Case Study in Drososphila pseudoobscura. PLoS ONE. 7(10). e46415–e46415. 17 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026