Mark L. Siegal

5.2k total citations
51 papers, 3.4k citations indexed

About

Mark L. Siegal is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark L. Siegal has authored 51 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 34 papers in Genetics and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mark L. Siegal's work include Evolution and Genetic Dynamics (17 papers), Gene Regulatory Network Analysis (14 papers) and Fungal and yeast genetics research (13 papers). Mark L. Siegal is often cited by papers focused on Evolution and Genetic Dynamics (17 papers), Gene Regulatory Network Analysis (14 papers) and Fungal and yeast genetics research (13 papers). Mark L. Siegal collaborates with scholars based in United States, United Kingdom and Spain. Mark L. Siegal's co-authors include Aviv Bergman, Sasha F. Levy, Joanna Masel, Naomi Ziv, Daniel L. Hartl, Bruce S. Baker, David W. Hall, Yuan Zhu, Dmitri A. Petrov and Sandra L. Schnakenberg and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mark L. Siegal

49 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark L. Siegal United States 27 2.1k 1.7k 431 403 292 51 3.4k
Virginie Courtier‐Orgogozo France 21 1.4k 0.7× 1.5k 0.9× 704 1.6× 554 1.4× 419 1.4× 52 2.9k
John H. Willis United States 25 1.4k 0.7× 1.3k 0.8× 764 1.8× 532 1.3× 109 0.4× 39 2.8k
Adam S. Wilkins United Kingdom 21 1.0k 0.5× 1.2k 0.7× 285 0.7× 282 0.7× 137 0.5× 72 2.3k
Julien F. Ayroles United States 26 1.1k 0.5× 1.9k 1.1× 556 1.3× 674 1.7× 364 1.2× 52 3.2k
Joanna Masel United States 29 2.0k 0.9× 1.3k 0.8× 453 1.1× 239 0.6× 283 1.0× 81 3.6k
Suzanne L. Rutherford United States 8 1.7k 0.8× 744 0.4× 219 0.5× 234 0.6× 136 0.5× 9 2.6k
Ricardo B. R. Azevedo United States 24 776 0.4× 1.1k 0.7× 905 2.1× 256 0.6× 243 0.8× 49 2.6k
Michael Lachmann United States 34 2.3k 1.1× 2.1k 1.3× 712 1.7× 457 1.1× 154 0.5× 72 5.2k
Colin D. Meiklejohn United States 23 1.2k 0.6× 1.6k 0.9× 559 1.3× 422 1.0× 188 0.6× 26 2.5k
Benjamin Prud’homme France 24 1.7k 0.8× 1.1k 0.7× 758 1.8× 530 1.3× 674 2.3× 32 3.3k

Countries citing papers authored by Mark L. Siegal

Since Specialization
Citations

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

Fields of papers citing papers by Mark L. Siegal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark L. Siegal. 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 Mark L. Siegal. The network helps show where Mark L. Siegal may publish in the future.

Co-authorship network of co-authors of Mark L. Siegal

This figure shows the co-authorship network connecting the top 25 collaborators of Mark L. Siegal. A scholar is included among the top collaborators of Mark L. Siegal 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 Mark L. Siegal. Mark L. Siegal 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.
Plavskin, Yevgeniy, et al.. (2025). Epistasis and cryptic QTL identified using modified bulk segregant analysis of copper resistance in budding yeast. Genetics. 229(4). 1 indexed citations
2.
Plavskin, Yevgeniy, et al.. (2022). The rate of spontaneous mutations in yeast deficient for MutSβ function. G3 Genes Genomes Genetics. 13(3).
3.
Plavskin, Yevgeniy, et al.. (2021). High-Throughput Live Imaging of Microcolonies to Measure Heterogeneity in Growth and Gene Expression. Journal of Visualized Experiments. 2 indexed citations
4.
Geiler‐Samerotte, Kerry, Shuang Li, Charalampos Lazaris, et al.. (2020). Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping. PLoS Biology. 18(8). e3000836–e3000836. 26 indexed citations
5.
David, Jean R., Yoshitaka Kamimura, John P. Masly, et al.. (2019). A standardized nomenclature and atlas of the male terminalia of Drosophila melanogaster. Fly. 13(1-4). 51–64. 26 indexed citations
6.
Xiong, Kun, Alex K. Lancaster, Mark L. Siegal, & Joanna Masel. (2019). Feed-forward regulation adaptively evolves via dynamics rather than topology when there is intrinsic noise. Nature Communications. 10(1). 2418–2418. 9 indexed citations
7.
Assaf, Zoe J., Susanne Tilk, Jane Park, Mark L. Siegal, & Dmitri A. Petrov. (2017). Deep sequencing of natural and experimental populations of Drosophila melanogaster reveals biases in the spectrum of new mutations. Genome Research. 27(12). 1988–2000. 28 indexed citations
8.
Geiler‐Samerotte, Kerry, et al.. (2016). Selection Transforms the Landscape of Genetic Variation Interacting with Hsp90. PLoS Biology. 14(10). e2000465–e2000465. 59 indexed citations
9.
Calcott, Brett, Arnon Levy, Mark L. Siegal, Orkun S. Soyer, & Andreas Wagner. (2015). Engineering and Biology: Counsel for a Continued Relationship. Biological Theory. 10(1). 50–59. 14 indexed citations
10.
O’Malley, Maureen A., Orkun S. Soyer, & Mark L. Siegal. (2015). A Philosophical Perspective on Evolutionary Systems Biology. Biological Theory. 10(1). 6–17. 4 indexed citations
11.
Zhu, Yuan, Mark L. Siegal, David W. Hall, & Dmitri A. Petrov. (2014). Precise estimates of mutation rate and spectrum in yeast. Proceedings of the National Academy of Sciences. 111(22). E2310–8. 274 indexed citations
12.
Richardson, Joshua B., et al.. (2013). Histone Variant HTZ1 Shows Extensive Epistasis with, but Does Not Increase Robustness to, New Mutations. PLoS Genetics. 9(8). e1003733–e1003733. 35 indexed citations
13.
Conley, Dalton, Emily Rauscher, Christopher T. Dawes, Patrik K. E. Magnusson, & Mark L. Siegal. (2013). Heritability and the Equal Environments Assumption: Evidence from Multiple Samples of Misclassified Twins. Behavior Genetics. 43(5). 415–426. 88 indexed citations
14.
Ziv, Naomi, Mark L. Siegal, & David Gresham. (2013). Genetic and Nongenetic Determinants of Cell Growth Variation Assessed by High-Throughput Microscopy. Molecular Biology and Evolution. 30(12). 2568–2578. 41 indexed citations
15.
Fraser, Hunter B., Sasha F. Levy, Arun R. Chavan, et al.. (2012). Polygenic cis-regulatory adaptation in the evolution of yeast pathogenicity. Genome Research. 22(10). 1930–1939. 37 indexed citations
16.
Siegal, Mark L. & Joanna Masel. (2012). Hsp90 depletion goes wild. BMC Biology. 10(1). 14–14. 15 indexed citations
17.
Chen, Kevin, Jonas Maaskola, Mark L. Siegal, & Nikolaus Rajewsky. (2009). Reexamining microRNA Site Accessibility in Drosophila: A Population Genomics Study. PLoS ONE. 4(5). e5681–e5681. 12 indexed citations
18.
Siegal, Mark L. & Daniel L. Hartl. (2003). Application of Cre/loxP in Drosophila: Site-Specific Recombination and Transgene Coplacement. Humana Press eBooks. 136. 487–495. 58 indexed citations
19.
Marı́n, Ignacio, Mark L. Siegal, & Bruce S. Baker. (2000). The evolution of dosage-compensation mechanisms. BioEssays. 22(12). 1106–1114. 107 indexed citations
20.
Siegal, Mark L. & Daniel L. Hartl. (1999). Oviposition-Site Preference in Drosophila Following Interspecific Gene Transfer of the Alcohol dehydrogenase Locus. Behavior Genetics. 29(3). 199–204. 11 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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