Mitchell A. Bekritsky

4.2k total citations · 1 hit paper
2 papers, 902 citations indexed

About

Mitchell A. Bekritsky is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Mitchell A. Bekritsky has authored 2 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Genetics and 1 paper in Cancer Research. Recurrent topics in Mitchell A. Bekritsky's work include Genomics and Rare Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genomics and Phylogenetic Studies (1 paper). Mitchell A. Bekritsky is often cited by papers focused on Genomics and Rare Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genomics and Phylogenetic Studies (1 paper). Mitchell A. Bekritsky collaborates with scholars based in United Kingdom, United States and Iceland. Mitchell A. Bekritsky's co-authors include Aaron L. Halpern, Morten Källberg, Peter Krusche, Christopher T. Saunders, Konrad Scheffler, Doruk Beyter, Eunho Noh, Sangtae Kim, Han‐Yu Chuang and Gil McVean and has published in prestigious journals such as Nature Methods and Genome Research.

In The Last Decade

Mitchell A. Bekritsky

2 papers receiving 890 citations

Hit Papers

Strelka2: fast and accurate calling of germline and somat... 2018 2026 2020 2023 2018 200 400 600

Peers

Mitchell A. Bekritsky
Laura M. Sack United States
Adam P. Butler United Kingdom
Ruping Sun United States
Peiyong Guan Singapore
Anne‐Katrin Emde United States
Nils Weinhold United States
Ilari Scheinin Netherlands
Andrew Wei Xu United States
Laura M. Sack United States
Mitchell A. Bekritsky
Citations per year, relative to Mitchell A. Bekritsky Mitchell A. Bekritsky (= 1×) peers Laura M. Sack

Countries citing papers authored by Mitchell A. Bekritsky

Since Specialization
Citations

This map shows the geographic impact of Mitchell A. Bekritsky'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 Mitchell A. Bekritsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell A. Bekritsky more than expected).

Fields of papers citing papers by Mitchell A. Bekritsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell A. Bekritsky. 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 Mitchell A. Bekritsky. The network helps show where Mitchell A. Bekritsky may publish in the future.

Co-authorship network of co-authors of Mitchell A. Bekritsky

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell A. Bekritsky. A scholar is included among the top collaborators of Mitchell A. Bekritsky 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 Mitchell A. Bekritsky. Mitchell A. Bekritsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Kim, Sangtae, Konrad Scheffler, Aaron L. Halpern, et al.. (2018). Strelka2: fast and accurate calling of germline and somatic variants. Nature Methods. 15(8). 591–594. 682 indexed citations breakdown →
2.
Eberle, Michael A., Epameinondas Fritzilas, Peter Krusche, et al.. (2016). A reference data set of 5.4 million phased human variants validated by genetic inheritance from sequencing a three-generation 17-member pedigree. Genome Research. 27(1). 157–164. 220 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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