Eugene V. Koonin
- Endocrinology top 1%
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 5
- Genomics and Phylogenetic Studies 3
- DNA Repair Mechanisms 2
- DNA and Nucleic Acid Chemistry 2
- RNA Research and Splicing 2
- Cell Biology top 2%
- Microtubule and mitosis dynamics 2
- Genetics top 2%
- Bacterial Genetics and Biotechnology 2
- Plant Science top 2%
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- Bacteriophages and microbial interactions 2
- Co-authors
- L. AravindJohn L. SpougeAndrew F. NeuwaldValerian V. DoljaT.J. MorrisMichael Y. GalperinAlexander E. GorbalenyaDmitri M. Krylov
- Journals
- Nature Biotechnology (1 paper)Current Biology (1 paper)Trends in Biochemical Sciences (2 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Eugene V. Koonin
11 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Endocrinology 370
- Molecular Biology 2.4k
- Cell Biology 475
- Genetics 752
- Plant Science 949
Countries citing papers authored by Eugene V. Koonin
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
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
The 17 scholars most cited alongside Eugene V. Koonin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 23 | |
| 2 | 2001 | 45 | |
| 3 | 2000 | 244 | |
| 4 | 2000 | 127 | |
| 5 | AAA+: A Class of Chaperone-Like ATPases Associated with the Assembly, Operation, and Disassembly of Protein Complexesbreakdown → | 1999 | 1497 |
| 6 | 1998 | 171 | |
| 7 | 1998 | 137 | |
| 8 | 1998 | 385 | |
| 9 | 1995 | 72 | |
| 10 | Evolution and Taxonomy of Positive-Strand RNA Viruses: Implications of Comparative Analysis of Amino Acid Sequencesbreakdown → | 1993 | 892 |
| 11 | 1992 | 46 |
About Eugene V. Koonin
Eugene V. Koonin is a scholar working on Cell Biology, Molecular Biology and Animal Science and Zoology, having authored 11 papers that have together received 3.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (3 papers), Bacteriophages and microbial interactions (2 papers), DNA Repair Mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Microtubule and mitosis dynamics (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Endocrinology (370 citations), Molecular Biology (2.4k citations) and Cell Biology (475 citations). Eugene V. Koonin has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include L. Aravind, John L. Spouge, Andrew F. Neuwald, Valerian V. Dolja, T.J. Morris, Michael Y. Galperin, Alexander E. Gorbalenya, Dmitri M. Krylov, Colombe Chappey and Sridhar Hannenhalli. Their work appears in journals such as Nature Biotechnology, Current Biology and Trends in Biochemical Sciences.
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.