Sergey Koren
Impact in
- Molecular Biology top 0.1%
- Genomics and Phylogenetic Studies
- Gut microbiota and health
- RNA and protein synthesis mechanisms
- Genetics top 0.1%
- Genetic diversity and population structure
Papers in
-
- Genomics and Phylogenetic Studies 70
- RNA and protein synthesis mechanisms 12
- Genomics and Chromatin Dynamics 8
- Gut microbiota and health 7
- Genetics 40
- Genomic variations and chromosomal abnormalities 8
- Co-authors
- Adam Michael Phillippy (47 shared papers)Todd J. Treangen (18 shared papers)Brian Ondov (6 shared papers)Brian P. Walenz (10 shared papers)Arang Rhie (17 shared papers)Jason Rafe Miller (5 shared papers)Granger G. Sutton (5 shared papers)Nicholas H. Bergman (4 shared papers)
- Journals
- Nature (18 papers)Genome biology (14 papers)Nature Biotechnology (9 papers)Nature Communications (8 papers)GigaScience (7 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Sergey Koren
126 papers receiving 36.0k citations
Sergey Koren's Hit Papers
Peers
Comparison fields: 5 of 214
- Molecular Biology 22.2k
- Genetics 7.0k
- Periodontics 912
- Molecular Medicine 1.0k
- Endocrinology 1.1k
Countries citing papers authored by Sergey Koren
This map shows the geographic impact of Sergey Koren'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 Sergey Koren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Koren more than expected).
Fields of papers citing papers by Sergey Koren
This network shows the impact of papers produced by Sergey Koren. 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 Sergey Koren. The network helps show where Sergey Koren may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergey Koren, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structure, function and diversity of the healthy human microbiome Hit paper breakdown → | 2012 | 9233 |
| 2 | Mash: fast genome and metagenome distance estimation using MinHash Hit paper breakdown → | 2016 | 2123 |
| 3 | A framework for human microbiome research Hit paper breakdown → | 2012 | 2104 |
| 4 | The complete sequence of a human genome Hit paper breakdown → | 2022 | 1737 |
| 5 | Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies Hit paper breakdown → | 2020 | 1433 |
| 6 | The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes Hit paper breakdown → | 2014 | 1337 |
| 7 | Towards complete and error-free genome assemblies of all vertebrate species Hit paper breakdown → | 2021 | 1311 |
| 8 | Nanopore sequencing and assembly of a human genome with ultra-long reads Hit paper breakdown → | 2018 | 1293 |
| 9 | Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome Hit paper breakdown → | 2019 | 1123 |
| 10 | Assembly algorithms for next-generation sequencing data Hit paper breakdown → | 2010 | 786 |
| 11 | Hybrid error correction and de novo assembly of single-molecule sequencing reads Hit paper breakdown → | 2012 | 756 |
| 12 | Assembling large genomes with single-molecule sequencing and locality-sensitive hashing Hit paper breakdown → | 2015 | 679 |
| 13 | A draft human pangenome reference Hit paper breakdown → | 2023 | 570 |
| 14 | Telomere-to-telomere assembly of a complete human X chromosome Hit paper breakdown → | 2020 | 491 |
| 15 | 2013 | 490 | |
| 16 | Integrating Hi-C links with assembly graphs for chromosome-scale assembly Hit paper breakdown → | 2019 | 490 |
| 17 | De novo assembly of the cattle reference genome with single-molecule sequencing Hit paper breakdown → | 2020 | 462 |
| 18 | Single-molecule sequencing and chromatin conformation capture enable de novo reference assembly of the domestic goat genome Hit paper breakdown → | 2017 | 451 |
| 19 | 2008 | 419 | |
| 20 | Genomic insights into the Ixodes scapularis tick vector of Lyme disease Hit paper breakdown → | 2016 | 400 |
About Sergey Koren
Sergey Koren is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Microbiology, having authored 131 papers that have together received 36.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (70 papers), Chromosomal and Genetic Variations (42 papers), Bacteriophages and microbial interactions (13 papers), RNA and protein synthesis mechanisms (12 papers), Microbial Community Ecology and Physiology (11 papers), Genomics and Chromatin Dynamics (8 papers), Genomic variations and chromosomal abnormalities (8 papers) and Gut microbiota and health (7 papers). The work is most often cited by research in Molecular Biology (22.2k citations), Genetics (7.0k citations), Periodontics (912 citations), Molecular Medicine (1.0k citations) and Endocrinology (1.1k citations). Sergey Koren has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Adam Michael Phillippy, Todd J. Treangen, Brian Ondov, Brian P. Walenz, Arang Rhie, Jason Rafe Miller, Granger G. Sutton, Nicholas H. Bergman, Páll Melsted and Mihai Pop. Their work appears in journals such as Nature, Genome biology, Nature Biotechnology, Nature Communications and GigaScience.
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.