Eugene V. Koonin

206.4k total citations · 59 hit papers
903 papers, 118.0k citations indexed

About

Eugene V. Koonin is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Eugene V. Koonin has authored 903 papers receiving a total of 118.0k indexed citations (citations by other indexed papers that have themselves been cited), including 663 papers in Molecular Biology, 260 papers in Genetics and 256 papers in Ecology. Recurrent topics in Eugene V. Koonin's work include Genomics and Phylogenetic Studies (259 papers), RNA and protein synthesis mechanisms (250 papers) and Bacteriophages and microbial interactions (221 papers). Eugene V. Koonin is often cited by papers focused on Genomics and Phylogenetic Studies (259 papers), RNA and protein synthesis mechanisms (250 papers) and Bacteriophages and microbial interactions (221 papers). Eugene V. Koonin collaborates with scholars based in United States, France and Russia. Eugene V. Koonin's co-authors include Kira S. Makarova, Yuri I. Wolf, L. Aravind, Michael Y. Galperin, Roman L. Tatusov, Feng Zhang, Alexander E. Gorbalenya, Igor B. Rogozin, Valerian V. Dolja and Mart Krupovìč and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Eugene V. Koonin

888 papers receiving 115.7k citations

Hit Papers

The COG database: an updated version includes eukaryotes 1989 2026 2001 2013 2003 2015 1997 2017 2015 1000 2.0k 3.0k

Peers

Eugene V. Koonin
David J. Lipman United States
Stephen F. Altschul United States
Steven L. Salzberg United States
Joseph Sambrook United States
Peer Bork Germany
Heng Li China
Richard Durbin United Kingdom
David J. Lipman United States
Eugene V. Koonin
Citations per year, relative to Eugene V. Koonin Eugene V. Koonin (= 1×) peers David J. Lipman

Countries citing papers authored by Eugene V. Koonin

Since Specialization
Citations

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

Fields of papers citing papers by Eugene V. Koonin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene V. Koonin. 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 Eugene V. Koonin. The network helps show where Eugene V. Koonin may publish in the future.

Co-authorship network of co-authors of Eugene V. Koonin

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene V. Koonin. A scholar is included among the top collaborators of Eugene V. Koonin 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 Eugene V. Koonin. Eugene V. Koonin 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.
Vanchurin, Vitaly, Yuri I. Wolf, M. I. Katsnelson, & Eugene V. Koonin. (2022). Toward a theory of evolution as multilevel learning. Proceedings of the National Academy of Sciences. 119(6). 54 indexed citations
2.
Li, Ming, Feiyue Cheng, Haiying Yu, et al.. (2021). Toxin-antitoxin RNA pairs safeguard CRISPR-Cas systems. Science. 372(6541). 73 indexed citations
3.
Rochman, Nash D., Yuri I. Wolf, Guilhem Faure, et al.. (2021). Ongoing global and regional adaptive evolution of SARS-CoV-2. Proceedings of the National Academy of Sciences. 118(29). 157 indexed citations
4.
Auslander, Noam, Yuri I. Wolf, & Eugene V. Koonin. (2019). In silico learning of tumor evolution through mutational time series. Proceedings of the National Academy of Sciences. 116(19). 9501–9510. 18 indexed citations
5.
Koonin, Eugene V. & Natalya Yutin. (2018). Evolution of the Large Nucleocytoplasmic DNA Viruses of Eukaryotes and Convergent Origins of Viral Gigantism. Advances in virus research. 103. 167–202. 119 indexed citations
6.
Iranzo, Jaime, Iñigo Martincorena, & Eugene V. Koonin. (2018). Cancer-mutation network and the number and specificity of driver mutations. Proceedings of the National Academy of Sciences. 115(26). E6010–E6019. 90 indexed citations
7.
Persi, Erez, Yuri I. Wolf, Mark D.M. Leiserson, Eugene V. Koonin, & Eytan Ruppin. (2018). Criticality in tumor evolution and clinical outcome. Proceedings of the National Academy of Sciences. 115(47). E11101–E11110. 19 indexed citations
8.
Shmakov, Sergey, Kira S. Makarova, Yuri I. Wolf, Konstantin Severinov, & Eugene V. Koonin. (2018). Systematic prediction of genes functionally linked to CRISPR-Cas systems by gene neighborhood analysis. Proceedings of the National Academy of Sciences. 115(23). E5307–E5316. 104 indexed citations
9.
Galperin, Michael Y., David M. Kristensen, Kira S. Makarova, Yuri I. Wolf, & Eugene V. Koonin. (2017). Microbial genome analysis: the COG approach. Briefings in Bioinformatics. 20(4). 1063–1070. 198 indexed citations
10.
Iranzo, Jaime, José A. Cuesta, Susanna C. Manrubia, M. I. Katsnelson, & Eugene V. Koonin. (2017). Disentangling the effects of selection and loss bias on gene dynamics. Proceedings of the National Academy of Sciences. 114(28). 43 indexed citations
11.
Galperin, Michael Y., Kira S. Makarova, Yuri I. Wolf, & Eugene V. Koonin. (2017). Phyletic Distribution and Lineage-Specific Domain Architectures of Archaeal Two-Component Signal Transduction Systems. Journal of Bacteriology. 200(7). 40 indexed citations
12.
Peters, Joseph E., Kira S. Makarova, Sergey Shmakov, & Eugene V. Koonin. (2017). Recruitment of CRISPR-Cas systems by Tn7-like transposons. Proceedings of the National Academy of Sciences. 114(35). E7358–E7366. 186 indexed citations
13.
Kurth, Elizabeth G., Valera V. Peremyslov, Hannah L. Turner, et al.. (2017). Myosin-driven transport network in plants. Proceedings of the National Academy of Sciences. 114(8). E1385–E1394. 50 indexed citations
14.
Abudayyeh, Omar O., Jonathan S. Gootenberg, Silvana Konermann, et al.. (2016). C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector. Science. 353(6299). aaf5573–aaf5573. 1689 indexed citations breakdown →
15.
Boyer, Mickaël, Natalya Yutin, Isabelle Pagnier, et al.. (2009). Giant Marseillevirus highlights the role of amoebae as a melting pot in emergence of chimeric microorganisms. Proceedings of the National Academy of Sciences. 106(51). 21848–21853. 304 indexed citations
16.
Avisar, Dror, Alexey I. Prokhnevsky, Kira S. Makarova, Eugene V. Koonin, & Valerian V. Dolja. (2008). Myosin XI-K Is Required for Rapid Trafficking of Golgi Stacks, Peroxisomes, and Mitochondria in Leaf Cells of Nicotiana benthamiana    . PLANT PHYSIOLOGY. 146(3). 1098–1108. 180 indexed citations
17.
Novichkov, Pavel S., Yuri I. Wolf, Inna Dubchak, & Eugene V. Koonin. (2008). Trends in Prokaryotic Evolution Revealed by Comparison of Closely Related Bacterial and Archaeal Genomes. Journal of Bacteriology. 191(1). 65–73. 104 indexed citations
18.
Elkins, James G., Mircea Podar, David E. Graham, et al.. (2008). A korarchaeal genome reveals insights into the evolution of the Archaea. Proceedings of the National Academy of Sciences. 105(23). 8102–8107. 199 indexed citations
19.
Verma, Rati, L. Aravind, Robert Oania, et al.. (2002). Role of Rpn11 Metalloprotease in Deubiquitination and Degradation by the 26 S Proteasome. Science. 298(5593). 611–615. 810 indexed citations breakdown →
20.
Cope, Gregory A., Greg S. B. Suh, L. Aravind, et al.. (2002). Role of Predicted Metalloprotease Motif of Jab1/Csn5 in Cleavage of Nedd8 from Cul1. Science. 298(5593). 608–611. 571 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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