Victor Solovyev
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies 26
- RNA and protein synthesis mechanisms 24
- Machine Learning in Bioinformatics 20
- Genomics and Chromatin Dynamics 9
- Protein Structure and Dynamics 5
- Fractal and DNA sequence analysis 5
- Bioinformatics and Genomic Networks 3
- Genetics, Bioinformatics, and Biomedical Research 3
- Ecology top 2%
- Plant Science top 1%
- Genetics top 2%
- Horticulture top 5%
- Co-authors
- Asaf SalamovPaul M. RichardsonGene W. TysonEric E. AllenPhilip HugenholtzEdward M. RubinDaniel S. RokhsarJarrod Chapman
- Journals
- Nucleic Acids Research (6 papers)Bioinformatics (4 papers)Computer applications in the biosciences (3 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Victor Solovyev
48 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 4.0k
- Ecology 1.1k
- Plant Science 1.4k
- Genetics 862
- Horticulture 23
Countries citing papers authored by Victor Solovyev
This map shows the geographic impact of Victor Solovyev'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 Victor Solovyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Solovyev more than expected).
Fields of papers citing papers by Victor Solovyev
This network shows the impact of papers produced by Victor Solovyev. 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 Victor Solovyev. The network helps show where Victor Solovyev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Victor Solovyev, 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 | 2017 | 158 | |
| 2 | 2017 | 15 | |
| 3 | 2016 | 228 | |
| 4 | 2016 | 13 | |
| 5 | 2010 | 137 | |
| 6 | Automatic annotation of eukaryotic genes, pseudogenes and promotersbreakdown → | 2006 | 597 |
| 7 | 2004 | 1 | |
| 8 | 2003 | 96 | |
| 9 | 2003 | 101 | |
| 10 | 2003 | 92 | |
| 11 | 2003 | 48 | |
| 12 | Ab initio Gene Finding in Drosophila Genomic DNAbreakdown → | 2000 | 771 |
| 13 | 2000 | 109 | |
| 14 | 1997 | 85 | |
| 15 | 1997 | 49 | |
| 16 | 1996 | 2 | |
| 17 | 1995 | 230 | |
| 18 | 1994 | 29 | |
| 19 | 1994 | 47 | |
| 20 | 1991 | 8 |
About Victor Solovyev
Victor Solovyev is a scholar working on Molecular Biology, Ceramics and Composites, Genetics, Molecular Medicine and Endocrinology, having authored 49 papers that have together received 5.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (26 papers), RNA and protein synthesis mechanisms (24 papers), Machine Learning in Bioinformatics (20 papers), Genomics and Chromatin Dynamics (9 papers), Protein Structure and Dynamics (5 papers), Fractal and DNA sequence analysis (5 papers), Bioinformatics and Genomic Networks (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Ecology (1.1k citations), Plant Science (1.4k citations), Genetics (862 citations) and Horticulture (23 citations). Victor Solovyev has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Asaf Salamov, Paul M. Richardson, Gene W. Tyson, Eric E. Allen, Philip Hugenholtz, Edward M. Rubin, Daniel S. Rokhsar, Jarrod Chapman, Rachna J. Ram and Jillian F. Banfield. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Computer applications in the biosciences, PLoS ONE and Journal of Molecular Biology.
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.