Andrew Kernytsky

48.9k total citations · 2 hit papers
12 papers, 25.7k citations indexed

About

Andrew Kernytsky is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Andrew Kernytsky has authored 12 papers receiving a total of 25.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Artificial Intelligence. Recurrent topics in Andrew Kernytsky's work include Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (4 papers). Andrew Kernytsky is often cited by papers focused on Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (4 papers). Andrew Kernytsky collaborates with scholars based in United States. Andrew Kernytsky's co-authors include Kristian Cibulskis, Stacey Gabriel, Mark A. DePristo, Mark J. Daly, Andrey Sivachenko, David Altshuler, Eric Banks, Kiran Garimella, Aaron McKenna and Matthew G. Hanna and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Blood.

In The Last Decade

Andrew Kernytsky

12 papers receiving 25.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

2010 17.4k citations Aaron McKenna, Matthew G. Hanna et al. Genome Research profile →
A framework for variation discovery and genotyping using next-generation DNA sequencing data

2011 7.3k citations Mark A. DePristo, Eric Banks et al. Nature Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andrew Kernytsky United States	11	12.8k	10.3k	4.5k	3.8k	1.7k	12	25.7k
Andrey Sivachenko United States	22	15.1k 1.2×	10.9k 1.1×	4.6k 1.0×	4.4k 1.2×	1.9k 1.1×	51	28.8k
Kristian Cibulskis United States	12	13.5k 1.1×	10.6k 1.0×	4.5k 1.0×	4.8k 1.3×	2.6k 1.5×	21	27.5k
Aaron McKenna United States	19	14.4k 1.1×	10.7k 1.0×	4.5k 1.0×	4.9k 1.3×	2.3k 1.3×	28	28.7k
Kiran Garimella United States	20	14.5k 1.1×	12.3k 1.2×	5.1k 1.1×	4.4k 1.2×	2.0k 1.1×	52	30.1k
Matthew G. Hanna United States	22	8.5k 0.7×	7.1k 0.7×	3.5k 0.8×	2.8k 0.7×	1.7k 1.0×	68	20.3k
Marco A. Marra Canada	83	18.9k 1.5×	5.0k 0.5×	5.8k 1.3×	5.2k 1.4×	2.5k 1.5×	361	30.0k
Janan T. Eppig United States	42	26.6k 2.1×	5.9k 0.6×	3.9k 0.9×	3.8k 1.0×	1.6k 1.0×	109	37.4k
Steve Rozen Singapore	53	16.6k 1.3×	10.3k 1.0×	8.2k 1.8×	2.2k 0.6×	1.4k 0.8×	117	34.0k
Mark Chaisson United States	19	20.3k 1.6×	4.3k 0.4×	4.6k 1.0×	4.6k 1.2×	2.6k 1.5×	30	32.3k
Felix Schlesinger United States	8	19.4k 1.5×	4.3k 0.4×	3.8k 0.9×	5.0k 1.3×	2.7k 1.6×	10	31.3k

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 of co-authors of Andrew Kernytsky

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Kernytsky. A scholar is included among the top collaborators of Andrew Kernytsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Kernytsky. Andrew Kernytsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Chaudhari, Hemangi G., Jon Penterman, Holly Whitton, et al.. (2020). Evaluation of Homology-Independent CRISPR-Cas9 Off-Target Assessment Methods. The CRISPR Journal. 3(6). 440–453. 25 indexed citations

Marjon, Katya, Michael J. Cameron, Phong Quang, et al.. (2016). MTAP Deletions in Cancer Create Vulnerability to Targeting of the MAT2A/PRMT5/RIOK1 Axis. Cell Reports. 15(3). 574–587. 280 indexed citations

Kernytsky, Andrew, Fang Wang, Erica Hansen, et al.. (2014). IDH2 mutation-induced histone and DNA hypermethylation is progressively reversed by small-molecule inhibition. Blood. 125(2). 296–303. 128 indexed citations

Kernytsky, Andrew, Fang Wang, Erica Hansen, et al.. (2014). Abstract 2296: IDH2 mutation induced histone and DNA hypermethylation is progressively reversed by small molecule inhibition. Cancer Research. 74(19_Supplement). 2296–2296. 1 indexed citations

DePristo, Mark A., Eric Banks, Ryan Poplin, et al.. (2011). A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nature Genetics. 43(5). 491–498. 7268 indexed citations breakdown →

McKenna, Aaron, Matthew G. Hanna, Eric Banks, et al.. (2010). The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Research. 20(9). 1297–1303. 17384 indexed citations breakdown →

Blumenstiel, Brendan, Kristian Cibulskis, Sheila Fisher, et al.. (2010). Targeted Exon Sequencing by In‐Solution Hybrid Selection. Current Protocols in Human Genetics. 66(1). 49 indexed citations

Kernytsky, Andrew & Burkhard Rost. (2008). Using genetic algorithms to select most predictive protein features. Proteins Structure Function and Bioinformatics. 75(1). 75–88. 20 indexed citations

Punta, Marco, Lucy R. Forrest, Henry Bigelow, et al.. (2007). Membrane protein prediction methods. Methods. 41(4). 460–474. 88 indexed citations

10.

Kernytsky, Andrew. (2003). Static benchmarking of membrane helix predictions. Nucleic Acids Research. 31(13). 3642–3644. 30 indexed citations

11.

Petrey, Donald, Zhexin Xiang, Lei Xie, et al.. (2003). Using multiple structure alignments, fast model building, and energetic analysis in fold recognition and homology modeling. Proteins Structure Function and Bioinformatics. 53(S6). 430–435. 257 indexed citations

12.

Chen, Chien Peter, Andrew Kernytsky, & Burkhard Rost. (2002). Transmembrane helix predictions revisited. Protein Science. 11(12). 2774–2791. 153 indexed citations

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.

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