Melissa Gymrek

11.1k total citations · 1 hit paper
55 papers, 3.5k citations indexed

About

Melissa Gymrek is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Melissa Gymrek has authored 55 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 25 papers in Genetics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Melissa Gymrek's work include Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (14 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Melissa Gymrek is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (14 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Melissa Gymrek collaborates with scholars based in United States, Israel and Netherlands. Melissa Gymrek's co-authors include Yaniv Erlich, David E. Golan, Eran Halperin, Amy L. McGuire, Thomas Willems, Maya Schuldiner, Sharona Shleizer-Burko, Michal Breker, Nima Mousavi and Saharon Rosset and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Melissa Gymrek

50 papers receiving 3.4k citations

Hit Papers

Identifying Personal Genomes by Surname Inference 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa Gymrek United States 29 2.2k 1.4k 474 426 327 55 3.5k
Yaniv Erlich United States 27 2.7k 1.2× 1.4k 1.0× 294 0.6× 670 1.6× 687 2.1× 45 4.5k
Andreas D. Baxevanis United States 39 3.7k 1.7× 1.3k 0.9× 223 0.5× 195 0.5× 291 0.9× 111 5.9k
John V. Pearson Australia 24 1.8k 0.8× 745 0.5× 106 0.2× 299 0.7× 659 2.0× 59 3.7k
William S. Bush United States 29 1.3k 0.6× 1.4k 1.0× 102 0.2× 153 0.4× 156 0.5× 171 3.5k
Mikael Huss Sweden 25 2.9k 1.3× 481 0.3× 105 0.2× 239 0.6× 309 0.9× 56 3.9k
Melissa Haendel United States 33 3.0k 1.4× 1.3k 0.9× 93 0.2× 209 0.5× 286 0.9× 165 4.9k
Katheleen Gardiner United States 38 4.1k 1.9× 1.6k 1.1× 228 0.5× 1.2k 2.7× 223 0.7× 113 5.9k
Paul Shannon United States 23 3.0k 1.4× 1.6k 1.2× 131 0.3× 137 0.3× 508 1.6× 43 4.8k

Countries citing papers authored by Melissa Gymrek

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Gymrek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Gymrek

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

All Works

20 of 20 papers shown
1.
Guevara, James P., Stephen Tran, Serge Batalov, et al.. (2026). Long-read genome sequencing improves detection and functional interpretation of structural and repeat variants in autism. Cell Genomics. 101186–101186.
2.
D’Antonio, Matteo, Timothy D. Arthur, Windell L. Rivera, et al.. (2025). Genetic analysis of elevated levels of creatinine and cystatin C biomarkers reveals novel genetic loci associated with kidney function. Human Molecular Genetics. 34(9). 751–764.
3.
D’Antonio, Matteo, Windell L. Rivera, Robert A. Greenes, Melissa Gymrek, & Kelly A. Frazer. (2025). A highly accurate risk factor-based XGBoost multiethnic model for identifying patients with skin cancer. Nature Communications. 16(1). 9542–9542.
4.
English, Adam C., Egor Dolzhenko, Sean K. McKenzie, et al.. (2024). Analysis and benchmarking of small and large genomic variants across tandem repeats. Nature Biotechnology. 43(3). 431–442. 24 indexed citations
5.
Maksimov, Mikhail O., David G. Ashbrook, Flavia Villani, et al.. (2023). A novel quantitative trait locus implicates Msh3 in the propensity for genome-wide short tandem repeat expansions in mice. Genome Research. 33(5). 689–702. 4 indexed citations
6.
Margoliash, Jonathan, Shai Fuchs, Yang Li, et al.. (2023). Polymorphic short tandem repeats make widespread contributions to blood and serum traits. Cell Genomics. 3(12). 100458–100458. 20 indexed citations
7.
Maksimov, Mikhail O., et al.. (2022). Mutation and selection processes regulating short tandem repeats give rise to genetic and phenotypic diversity across species. Journal of Evolutionary Biology. 36(2). 321–336. 32 indexed citations
8.
Hoeksema, Marten A., Zeyang Shen, Inge R. Holtman, et al.. (2021). Mechanisms underlying divergent responses of genetically distinct macrophages to IL-4. Science Advances. 7(25). 27 indexed citations
9.
Mitra, Ileena, et al.. (2021). Patterns of de novo tandem repeat mutations and their role in autism. Nature. 589(7841). 246–250. 100 indexed citations
10.
Bakhtiari, Mehrdad, Yuan-Chun Ding, Sharona Shleizer-Burko, et al.. (2021). Variable number tandem repeats mediate the expression of proximal genes. Nature Communications. 12(1). 2075–2075. 48 indexed citations
11.
Pinsach‐Abuin, Mel·lina, Bernat del Olmo, Jesús Matés, et al.. (2021). Analysis of Brugada syndrome loci reveals that fine-mapping clustered GWAS hits enhances the annotation of disease-relevant variants. Cell Reports Medicine. 2(4). 100250–100250. 4 indexed citations
12.
Mousavi, Nima, et al.. (2020). TRTools: a toolkit for genome-wide analysis of tandem repeats. Bioinformatics. 37(5). 731–733. 31 indexed citations
13.
Mousavi, Nima, et al.. (2019). Profiling the genome-wide landscape of tandem repeat expansions. Nucleic Acids Research. 47(15). e90–e90. 124 indexed citations
14.
Kaplanis, Joanna, Assaf Gordon, Tal Shor, et al.. (2018). Quantitative analysis of population-scale family trees with millions of relatives. Science. 360(6385). 171–175. 131 indexed citations
15.
Gymrek, Melissa. (2017). A genomic view of short tandem repeats. Current Opinion in Genetics & Development. 44. 9–16. 85 indexed citations
16.
Willems, Thomas, Dina Zielinski, Jie Yuan, et al.. (2017). Genome-wide profiling of heritable and de novo STR variations. Nature Methods. 14(6). 590–592. 161 indexed citations
17.
Gymrek, Melissa, Thomas Willems, Audrey Guilmatre, et al.. (2015). Abundant contribution of short tandem repeats to gene expression variation in humans. Nature Genetics. 48(1). 22–29. 245 indexed citations
18.
Gymrek, Melissa, Amy L. McGuire, David E. Golan, Eran Halperin, & Yaniv Erlich. (2013). Identifying Personal Genomes by Surname Inference. Science. 339(6117). 321–324. 710 indexed citations breakdown →
19.
Gymrek, Melissa, David E. Golan, Saharon Rosset, & Yaniv Erlich. (2012). lobSTR: A short tandem repeat profiler for personal genomes. Genome Research. 22(6). 1154–1162. 214 indexed citations
20.
Ram, Oren, Alon Goren, Ido Amit, et al.. (2011). Combinatorial Patterning of Chromatin Regulators Uncovered by Genome-wide Location Analysis in Human Cells. Cell. 147(7). 1628–1639. 250 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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