Sarah E. Zanders

1.3k total citations
27 papers, 738 citations indexed

About

Sarah E. Zanders is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Sarah E. Zanders has authored 27 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Genetics and 12 papers in Plant Science. Recurrent topics in Sarah E. Zanders's work include Fungal and yeast genetics research (21 papers), Evolution and Genetic Dynamics (15 papers) and Chromosomal and Genetic Variations (7 papers). Sarah E. Zanders is often cited by papers focused on Fungal and yeast genetics research (21 papers), Evolution and Genetic Dynamics (15 papers) and Chromosomal and Genetic Variations (7 papers). Sarah E. Zanders collaborates with scholars based in United States, India and Sweden. Sarah E. Zanders's co-authors include Eric Alani, María Angélica Bravo Núñez, Michael T. Eickbush, Nicole L. Nuckolls, Robert L. Unckless, Jeffrey J. Lange, Harmit S. Malik, Janet M. Young, Jonathan S. Yu and Gerald R. Smith and has published in prestigious journals such as Current Biology, Genetics and Microbiology and Molecular Biology Reviews.

In The Last Decade

Sarah E. Zanders

27 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah E. Zanders United States	16	621	284	232	132	43	27	738
Koodali T Nishant India	15	556 0.9×	128 0.5×	181 0.8×	40 0.3×	14 0.3×	24	631
Eric Galiana France	18	392 0.6×	733 2.6×	74 0.3×	185 1.4×	50 1.2×	30	1.0k
James W. Lightfoot Germany	16	396 0.6×	188 0.7×	153 0.7×	105 0.8×	36 0.8×	25	740
Sue Ann Krause United Kingdom	11	544 0.9×	99 0.3×	109 0.5×	176 1.3×	55 1.3×	14	754
Benjamin Noël France	13	621 1.0×	302 1.1×	113 0.5×	63 0.5×	24 0.6×	30	828
Dean Dawson United States	22	1.1k 1.8×	496 1.7×	135 0.6×	534 4.0×	12 0.3×	44	1.3k
Kenneth H. Wan United States	10	591 1.0×	222 0.8×	158 0.7×	68 0.5×	38 0.9×	23	796
Lorinda K. Anderson United States	24	1.4k 2.3×	1.4k 4.8×	661 2.8×	196 1.5×	78 1.8×	40	2.1k
Adrian Halme United States	8	430 0.7×	108 0.4×	81 0.3×	112 0.8×	49 1.1×	9	637
Joseph L. Campbell United States	10	585 0.9×	72 0.3×	317 1.4×	138 1.0×	21 0.5×	13	743

Countries citing papers authored by Sarah E. Zanders

Since Specialization

Citations

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

Fields of papers citing papers by Sarah E. Zanders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Zanders. 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 Sarah E. Zanders. The network helps show where Sarah E. Zanders may publish in the future.

Co-authorship network of co-authors of Sarah E. Zanders

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

All Works

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20 of 20 papers shown

Campbell, Samuel, et al.. (2025). Functional constraints of wtf killer meiotic drivers. PLoS Genetics. 21(2). e1011534–e1011534. 2 indexed citations

Rubinstein, Boris, et al.. (2024). Modeling the evolution of Schizosaccharomyces pombe populations with multiple killer meiotic drivers. G3 Genes Genomes Genetics. 14(9). 1 indexed citations

Nuckolls, Nicole L., Rachel M. Helston, María Angélica Bravo Núñez, et al.. (2022). S. pombe wtf drivers use dual transcriptional regulation and selective protein exclusion from spores to cause meiotic drive. PLoS Genetics. 18(12). e1009847–e1009847. 8 indexed citations

Billmyre, R. Blake, Michael T. Eickbush, Jeffrey J. Lange, et al.. (2022). Genome-wide quantification of contributions to sexual fitness identifies genes required for spore viability and health in fission yeast. PLoS Genetics. 18(10). e1010462–e1010462. 4 indexed citations

Billmyre, R. Blake, et al.. (2022). The wtf meiotic driver gene family has unexpectedly persisted for over 100 million years. eLife. 11. 12 indexed citations

Helston, Rachel M., Jeffrey J. Lange, R. Blake Billmyre, et al.. (2021). Diverse mating phenotypes impact the spread of wtf meiotic drivers in Schizosaccharomyces pombe. eLife. 10. 10 indexed citations

Núñez, María Angélica Bravo, et al.. (2020). Atypical meiosis can be adaptive in outcrossed Schizosaccharomyces pombe due to wtf meiotic drivers. eLife. 9. 12 indexed citations

Nuckolls, Nicole L., Jeffrey J. Lange, Kexi Yi, et al.. (2020). The wtf4 meiotic driver utilizes controlled protein aggregation to generate selective cell death. eLife. 9. 23 indexed citations

Núñez, María Angélica Bravo, et al.. (2020). Dramatically diverse Schizosaccharomyces pombe wtf meiotic drivers all display high gamete-killing efficiency. PLoS Genetics. 16(2). e1008350–e1008350. 23 indexed citations

10.

Zanders, Sarah E., et al.. (2020). Meiotic drive. Current Biology. 30(11). R627–R629. 2 indexed citations

11.

Eickbush, Michael T., Janet M. Young, & Sarah E. Zanders. (2019). Killer Meiotic Drive and Dynamic Evolution of the wtf Gene Family. Molecular Biology and Evolution. 36(6). 1201–1214. 34 indexed citations

12.

Daugherty, Matthew D. & Sarah E. Zanders. (2019). Gene conversion generates evolutionary novelty that fuels genetic conflicts. Current Opinion in Genetics & Development. 58-59. 49–54. 15 indexed citations

13.

Zanders, Sarah E. & Robert L. Unckless. (2019). Fertility Costs of Meiotic Drivers. Current Biology. 29(11). R512–R520. 52 indexed citations

14.

Zanders, Sarah E., et al.. (2018). Veni, vidi, vici: the success of wtf meiotic drivers in fission yeast. Yeast. 35(7). 447–453. 13 indexed citations

15.

Núñez, María Angélica Bravo, Jeffrey J. Lange, & Sarah E. Zanders. (2018). A suppressor of a wtf poison-antidote meiotic driver acts via mimicry of the driver’s antidote. PLoS Genetics. 14(11). e1007836–e1007836. 30 indexed citations

16.

Núñez, María Angélica Bravo, Nicole L. Nuckolls, & Sarah E. Zanders. (2018). Genetic Villains: Killer Meiotic Drivers. Trends in Genetics. 34(6). 424–433. 65 indexed citations

17.

Nuckolls, Nicole L., María Angélica Bravo Núñez, Michael T. Eickbush, et al.. (2017). wtf genes are prolific dual poison-antidote meiotic drivers. eLife. 6. 76 indexed citations

18.

Zanders, Sarah E., et al.. (2011). Pch2 Modulates Chromatid Partner Choice During Meiotic Double-Strand Break Repair in Saccharomyces cerevisiae. Genetics. 188(3). 511–521. 36 indexed citations

19.

Zanders, Sarah E. & Eric Alani. (2009). The pch2Δ Mutation in Baker's Yeast Alters Meiotic Crossover Levels and Confers a Defect in Crossover Interference. PLoS Genetics. 5(7). e1000571–e1000571. 53 indexed citations

20.

Wanat, Jennifer J., Keun Pil Kim, Romain Koszul, et al.. (2008). Csm4, in Collaboration with Ndj1, Mediates Telomere-Led Chromosome Dynamics and Recombination during Yeast Meiosis. PLoS Genetics. 4(9). e1000188–e1000188. 96 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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