Mark Borodovsky
Impact in
- Endocrinology top 0.5%
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
Papers in
-
- RNA and protein synthesis mechanisms 57
- Genomics and Phylogenetic Studies 55
- Machine Learning in Bioinformatics 33
- Fractal and DNA sequence analysis 9
- RNA Research and Splicing 5
- Gene expression and cancer classification 5
- Co-authors
- Alexandre Lomsadze (26 shared papers)Mario Stanke (5 shared papers)Katharina J. Hoff (5 shared papers)Tatiana Tatusova (2 shared papers)Michael DiCuccio (1 shared paper)Vyacheslav Chetvernin (1 shared paper)Eric P. Nawrocki (1 shared paper)Kim D. Pruitt (1 shared paper)
- Journals
- Nucleic Acids Research (11 papers)Journal of Molecular Biology (6 papers)Genome Research (5 papers)Bioinformatics (4 papers)Current Protocols in Bioinformatics (4 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Mark Borodovsky
98 papers receiving 17.0k citations
Mark Borodovsky's Hit Papers
Peers
Comparison fields: 5 of 180
- Endocrinology 958
- Molecular Biology 9.5k
- Ecology 3.7k
- Molecular Medicine 596
- Horticulture 116
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-authors
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
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NCBI prokaryotic genome annotation pipeline Hit paper breakdown → | 2016 | 4849 |
| 2 | cag , a pathogenicity island of Helicobacter pylori, encodes type I-specific and disease-associated virulence factors Hit paper breakdown → | 1996 | 1652 |
| 3 | Ab initio gene identification in metagenomic sequences Hit paper breakdown → | 2010 | 1316 |
| 4 | BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein database Hit paper breakdown → | 2021 | 853 |
| 5 | GeneMark: web software for gene finding in prokaryotes, eukaryotes and viruses Hit paper breakdown → | 2005 | 791 |
| 6 | BRAKER1: Unsupervised RNA-Seq-Based Genome Annotation with GeneMark-ET and AUGUSTUS Hit paper breakdown → | 2015 | 744 |
| 7 | Gene prediction in novel fungal genomes using an ab initio algorithm with unsupervised training Hit paper breakdown → | 2008 | 710 |
| 8 | GENMARK: Parallel gene recognition for both DNA strands Hit paper breakdown → | 1993 | 545 |
| 9 | Whole-Genome Annotation with BRAKER Hit paper breakdown → | 2019 | 458 |
| 10 | 2010 | 418 | |
| 11 | 2014 | 374 | |
| 12 | GeneMark-EP+: eukaryotic gene prediction with self-training in the space of genes and proteins Hit paper breakdown → | 2020 | 338 |
| 13 | 2015 | 322 | |
| 14 | 1996 | 255 | |
| 15 | BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA Hit paper breakdown → | 2024 | 222 |
| 16 | TSEBRA: transcript selector for BRAKER Hit paper breakdown → | 2021 | 189 |
| 17 | 1996 | 167 | |
| 18 | 2011 | 164 | |
| 19 | 1996 | 155 | |
| 20 | 2018 | 133 |
About Mark Borodovsky
Mark Borodovsky is a scholar working on Molecular Biology, Plant Science, Ecology, Genetics and Artificial Intelligence, having authored 100 papers that have together received 17.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (57 papers), Genomics and Phylogenetic Studies (55 papers), Machine Learning in Bioinformatics (33 papers), Bacteriophages and microbial interactions (10 papers), Fractal and DNA sequence analysis (9 papers), Bacterial Genetics and Biotechnology (6 papers), RNA Research and Splicing (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Endocrinology (958 citations), Molecular Biology (9.5k citations), Ecology (3.7k citations), Molecular Medicine (596 citations) and Horticulture (116 citations). Mark Borodovsky has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Alexandre Lomsadze, Mario Stanke, Katharina J. Hoff, Tatiana Tatusova, Michael DiCuccio, Vyacheslav Chetvernin, Eric P. Nawrocki, Kim D. Pruitt, Azat Badretdin and James Ostell. 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.