Mark Borodovsky
- Endocrinology top 0.2%
- Ecology top 0.2%
- Bacteriophages and microbial interactions 9
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms 61
- Genomics and Phylogenetic Studies 57
- Machine Learning in Bioinformatics 36
- Fractal and DNA sequence analysis 9
- Protein Structure and Dynamics 5
- Gene expression and cancer classification 5
- Horticulture top 1%
- Molecular Medicine top 0.5%
-
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Alexandre LomsadzeKatharina J. HoffMario StankeTatiana TatusovaEric P. NawrockiJames OstellKim D. PruittVyacheslav Chetvernin
- Journals
- Nucleic Acids Research (11 papers)Journal of Molecular Biology (6 papers)Genome Research (5 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Mark Borodovsky
92 papers receiving 16.0k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Endocrinology 982
- Ecology 3.7k
- Molecular Biology 9.6k
- Horticulture 120
- Molecular Medicine 603
Countries citing papers authored by Mark Borodovsky
This map shows the geographic impact of Mark Borodovsky'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 Mark Borodovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Borodovsky more than expected).
Fields of papers citing papers by Mark Borodovsky
This network shows the impact of papers produced by Mark Borodovsky. 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 Mark Borodovsky. The network helps show where Mark Borodovsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Borodovsky, 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 | 2024 | 35 | |
| 2 | 2023 | 7 | |
| 3 | BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein databasebreakdown → | 2021 | 803 |
| 4 | GeneMark-EP+: eukaryotic gene prediction with self-training in the space of genes and proteinsbreakdown → | 2020 | 315 |
| 5 | 2018 | 123 | |
| 6 | BRAKER1: Unsupervised RNA-Seq-Based Genome Annotation with GeneMark-ET and AUGUSTUSbreakdown → | 2015 | 717 |
| 7 | 2013 | 24 | |
| 8 | 2012 | 27 | |
| 9 | 2011 | 38 | |
| 10 | 2010 | 389 | |
| 11 | Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology | 2010 | 20 |
| 12 | Ab initio gene identification in metagenomic sequencesbreakdown → | 2010 | 1252 |
| 13 | 2009 | 11 | |
| 14 | GeneMark: web software for gene finding in prokaryotes, eukaryotes and virusesbreakdown → | 2005 | 750 |
| 15 | 2003 | 46 | |
| 16 | 1999 | 30 | |
| 17 | 1998 | 84 | |
| 18 | 1996 | 242 | |
| 19 | 1994 | 60 | |
| 20 | 1993 | 62 |
About Mark Borodovsky
Mark Borodovsky is a scholar working on Aging, Molecular Biology, Ecology, Endocrinology and Plant Science, having authored 92 papers that have together received 16.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (61 papers), Genomics and Phylogenetic Studies (57 papers), Machine Learning in Bioinformatics (36 papers), Fractal and DNA sequence analysis (9 papers), Bacteriophages and microbial interactions (9 papers), Protein Structure and Dynamics (5 papers), Gene expression and cancer classification (5 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Endocrinology (982 citations), Ecology (3.7k citations), Molecular Biology (9.6k citations), Horticulture (120 citations) and Molecular Medicine (603 citations). Mark Borodovsky has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Alexandre Lomsadze, Katharina J. Hoff, Mario Stanke, Tatiana Tatusova, Eric P. Nawrocki, James Ostell, Kim D. Pruitt, Vyacheslav Chetvernin, Leonid Zaslavsky and Michael DiCuccio. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology, Genome Research, Bioinformatics and Current Protocols in Bioinformatics.
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.