Andrew Kernytsky
Impact in
- Genetics top 0.02%
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Genomics and Rare Diseases
- Genetic and phenotypic traits in livestock
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics
Papers in
-
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 5
- Machine Learning in Bioinformatics 4
- Genomics and Phylogenetic Studies 4
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 2
- RNA modifications and cancer 2
- Co-authors
- Kristian Cibulskis (3 shared papers)Stacey Gabriel (3 shared papers)David Altshuler (2 shared papers)Mark J. Daly (2 shared papers)Andrey Sivachenko (2 shared papers)Aaron McKenna (2 shared papers)Eric Banks (2 shared papers)Mark A. DePristo (2 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Methods (1 paper)Cell Reports (1 paper)The CRISPR Journal (1 paper)Protein Science (1 paper)
- Partner nations
- United States
In The Last Decade
Andrew Kernytsky
12 papers receiving 26.0k citations
Andrew Kernytsky's Hit Papers
Peers
Comparison fields: 5 of 182
- Genetics 9.2k
- Cancer Research 3.0k
- Molecular Biology 11.0k
- Horticulture 115
- Plant Science 4.2k
Countries citing papers authored by Andrew Kernytsky
This map shows the geographic impact of Andrew Kernytsky'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 Andrew Kernytsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Kernytsky more than expected).
Fields of papers citing papers by Andrew Kernytsky
This network shows the impact of papers produced by Andrew Kernytsky. 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 Andrew Kernytsky. The network helps show where Andrew Kernytsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Kernytsky, 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 | The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data Hit paper breakdown → | 2010 | 17861 |
| 2 | A framework for variation discovery and genotyping using next-generation DNA sequencing data Hit paper breakdown → | 2011 | 7370 |
| 3 | 2016 | 290 | |
| 4 | 2003 | 257 | |
| 5 | 2002 | 152 | |
| 6 | 2014 | 129 | |
| 7 | 2007 | 88 | |
| 8 | 2010 | 49 | |
| 9 | 2003 | 30 | |
| 10 | 2020 | 28 | |
| 11 | 2008 | 20 | |
| 12 | 2014 | 1 |
About Andrew Kernytsky
Andrew Kernytsky is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Genetics and Cancer Research, having authored 12 papers that have together received 26.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers), Machine Learning in Bioinformatics (4 papers), Genomics and Phylogenetic Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (2 papers), RNA modifications and cancer (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Genetics (9.2k citations), Cancer Research (3.0k citations), Molecular Biology (11.0k citations), Horticulture (115 citations) and Plant Science (4.2k citations). Andrew Kernytsky has collaborated with scholars based in United States. Frequent co-authors include Kristian Cibulskis, Stacey Gabriel, David Altshuler, Mark J. Daly, Andrey Sivachenko, Aaron McKenna, Eric Banks, Mark A. DePristo, Kiran Garimella and Matthew G. Hanna. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Methods, Cell Reports, The CRISPR Journal and Protein Science.
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.