Andrew Kernytsky

48.9k citations
12 papers · 25.7k indexed · 2 hit papers · h-index 11
  • Genetics top 0.02%
    • 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
    • RNA modifications and cancer 2
    • Cancer-related gene regulation 2
    • Glycosylation and Glycoproteins Research 1
  • Plant Science top 0.2%

Andrew Kernytsky

12 papers receiving 25.4k citations

Hit Papers

A framework for variation discovery and genotyping using ...7.3k20102026201520205.0k10.0k15.0k

Peers

Andrew Kernytsky
Comparison fields: 5 of 185
  • Genetics 10.3k
  • Cancer Research 3.8k
  • Molecular Biology 12.8k
  • Horticulture 119
  • Plant Science 4.5k
Replace Andrey Sivachenko with:
Andrey Sivachenko United States
Kristian Cibulskis United States
Kiran Garimella United States
Aaron McKenna United States
Matthew G. Hanna United States
Steve Rozen Singapore
Eric Banks United States
Mark A. DePristo United States
Nils Homer United States
Aaron R. Quinlan United States
Andrew Kernytsky relative to Andrey Sivachenko United States Andrey Sivachenko's profile →
Citations per field
00.5×1.5×
Andrey Sivachenko · 1×
Citations per year

Countries citing papers authored by Andrew Kernytsky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Andrew Kernytsky Line = papers co-authored together Andrew Kernytsky links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202025
2 2016280
3 2014128
4 20141
5
A framework for variation discovery and genotyping using next-generation DNA sequencing databreakdown →
20117268
6
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing databreakdown →
201017384
7 201049
8 200820
9 200788
10 200330
11 2003257
12 2002153

About Andrew Kernytsky

Andrew Kernytsky is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 25.7k 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), RNA modifications and cancer (2 papers), Cancer-related gene regulation (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (10.3k citations), Cancer Research (3.8k citations) and Molecular Biology (12.8k citations). Andrew Kernytsky has collaborated with scholars based in United States. Frequent co-authors include Stacey Gabriel, Kristian Cibulskis, David Altshuler, Andrey Sivachenko, Kiran Garimella, Eric Banks, Mark A. DePristo, Mark J. Daly, Aaron McKenna and Matthew G. Hanna. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Methods, Nature Genetics, The CRISPR Journal and Cell Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026