Justin Gerke

1.6k total citations
12 papers, 1.0k citations indexed

About

Justin Gerke is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Justin Gerke has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 5 papers in Plant Science and 4 papers in Molecular Biology. Recurrent topics in Justin Gerke's work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Fungal and yeast genetics research (4 papers). Justin Gerke is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Fungal and yeast genetics research (4 papers). Justin Gerke collaborates with scholars based in United States and France. Justin Gerke's co-authors include Leonid Kruglyak, Barak A. Cohen, Erik C. Andersen, Joshua S. Bloom, Rajarshi Ghosh, Kimberly Lorenz, Joshua A. Shapiro, Jonathan Crissman, Marie-Anne Félix and Christina T.L. Chen and has published in prestigious journals such as Science, Nature Genetics and PLoS ONE.

In The Last Decade

Justin Gerke

12 papers receiving 1.0k citations

Peers

Justin Gerke
Hannah S. Seidel United States
Stefan Zdraljevic United States
Ramesh Ratnappan United States
Charissa de Bekker United States
Felix Bemm Germany
Paul McVeigh United Kingdom
Hannah S. Seidel United States
Justin Gerke
Citations per year, relative to Justin Gerke Justin Gerke (= 1×) peers Hannah S. Seidel

Countries citing papers authored by Justin Gerke

Since Specialization
Citations

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

Fields of papers citing papers by Justin Gerke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Gerke. 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 Justin Gerke. The network helps show where Justin Gerke may publish in the future.

Co-authorship network of co-authors of Justin Gerke

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

All Works

12 of 12 papers shown
1.
Technow, Frank & Justin Gerke. (2017). Parent-progeny imputation from pooled samples for cost-efficient genotyping in plant breeding. PLoS ONE. 12(12). e0190271–e0190271. 16 indexed citations
2.
Gerke, Justin, Jode W. Edwards, Katherine E. Guill, Jeffrey Ross‐Ibarra, & Michael D. McMullen. (2015). The Genomic Impacts of Drift and Selection for Hybrid Performance in Maize. Genetics. 201(3). 1201–1211. 39 indexed citations
3.
Andersen, Erik C., Tyler C. Shimko, Jonathan Crissman, et al.. (2015). A Powerful New Quantitative Genetics Platform, CombiningCaenorhabditis elegansHigh-Throughput Fitness Assays with a Large Collection of Recombinant Strains. G3 Genes Genomes Genetics. 5(5). 911–920. 71 indexed citations
4.
Andersen, Erik C., Joshua S. Bloom, Justin Gerke, & Leonid Kruglyak. (2014). A Variant in the Neuropeptide Receptor npr-1 is a Major Determinant of Caenorhabditis elegans Growth and Physiology. PLoS Genetics. 10(2). e1004156–e1004156. 120 indexed citations
5.
Ghosh, Rajarshi, Erik C. Andersen, Joshua A. Shapiro, Justin Gerke, & Leonid Kruglyak. (2012). Natural Variation in a Chloride Channel Subunit Confers Avermectin Resistance in C. elegans. Science. 335(6068). 574–578. 126 indexed citations
6.
Andersen, Erik C., Justin Gerke, Joshua A. Shapiro, et al.. (2012). Chromosome-scale selective sweeps shape Caenorhabditis elegans genomic diversity. Nature Genetics. 44(3). 285–290. 281 indexed citations
7.
Gerke, Justin, et al.. (2010). Gene–Environment Interactions at Nucleotide Resolution. PLoS Genetics. 6(9). e1001144–e1001144. 39 indexed citations
8.
Gerke, Justin, Kimberly Lorenz, & Barak A. Cohen. (2009). Genetic Interactions Between Transcription Factors Cause Natural Variation in Yeast. Science. 323(5913). 498–501. 164 indexed citations
9.
Gertz, Jason, Justin Gerke, & Barak A. Cohen. (2009). Epistasis in a quantitative trait captured by a molecular model of transcription factor interactions. Theoretical Population Biology. 77(1). 1–5. 26 indexed citations
10.
Ehrenreich, Ian M., Justin Gerke, & Leonid Kruglyak. (2009). Genetic Dissection of Complex Traits in Yeast: Insights from Studies of Gene Expression and Other Phenotypes in the BYxRM Cross. Cold Spring Harbor Symposia on Quantitative Biology. 74(0). 145–153. 50 indexed citations
11.
Gerke, Justin, Christina T.L. Chen, & Barak A. Cohen. (2006). Natural Isolates of Saccharomyces cerevisiae Display Complex Genetic Variation in Sporulation Efficiency. Genetics. 174(2). 985–997. 85 indexed citations
12.
Bushman, B. Shaun, M. E. Snook, Justin Gerke, et al.. (2002). Two Loci Exert Major Effects on Chlorogenic Acid Synthesis in Maize Silks. Crop Science. 42(5). 1669–1678. 20 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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