Alissa M. Williams

1.1k total citations
12 papers, 693 citations indexed

About

Alissa M. Williams is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Alissa M. Williams has authored 12 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Genetics. Recurrent topics in Alissa M. Williams's work include Photosynthetic Processes and Mechanisms (8 papers), Genomics and Phylogenetic Studies (6 papers) and Mitochondrial Function and Pathology (3 papers). Alissa M. Williams is often cited by papers focused on Photosynthetic Processes and Mechanisms (8 papers), Genomics and Phylogenetic Studies (6 papers) and Mitochondrial Function and Pathology (3 papers). Alissa M. Williams collaborates with scholars based in United States, Australia and United Kingdom. Alissa M. Williams's co-authors include Daniel B. Sloan, Justin C. Havird, Evan S. Forsythe, Jessica M. Warren, Zhiqiang Wu, Adam J. Chicco, Salah E. Abdel‐Ghany, Gregory J. Hannon, Annika L. Gable and Sun Y. Kim and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Plant Cell.

In The Last Decade

Alissa M. Williams

11 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alissa M. Williams United States 9 448 158 140 120 110 12 693
Mathew A. Sloane Australia 14 548 1.2× 80 0.5× 134 1.0× 89 0.7× 232 2.1× 21 841
Vincent E. Sollars United States 13 467 1.0× 55 0.3× 55 0.4× 73 0.6× 149 1.4× 24 724
Andrea C. Becker Germany 16 531 1.2× 110 0.7× 91 0.7× 107 0.9× 145 1.3× 29 1.2k
Nathalie Colpaert Belgium 9 251 0.6× 67 0.4× 43 0.3× 85 0.7× 112 1.0× 11 437
Cody Ashby United States 13 400 0.9× 92 0.6× 74 0.5× 45 0.4× 78 0.7× 51 561
Ewa Jaworska United Kingdom 10 390 0.9× 75 0.5× 63 0.5× 36 0.3× 60 0.5× 12 682
Alex Pinder Australia 7 292 0.7× 116 0.7× 65 0.5× 19 0.2× 89 0.8× 9 533
Artem K. Velichko Russia 12 571 1.3× 99 0.6× 77 0.6× 65 0.5× 40 0.4× 25 828
Aaron Taudt Germany 13 668 1.5× 71 0.4× 172 1.2× 199 1.7× 244 2.2× 13 931
Pengzhi Dong China 9 290 0.6× 124 0.8× 71 0.5× 137 1.1× 82 0.7× 13 608

Countries citing papers authored by Alissa M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Alissa M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alissa M. Williams. 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 Alissa M. Williams. The network helps show where Alissa M. Williams may publish in the future.

Co-authorship network of co-authors of Alissa M. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Alissa M. Williams. A scholar is included among the top collaborators of Alissa M. Williams 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 Alissa M. Williams. Alissa M. Williams 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.
Liu, Siqin, et al.. (2025). Resources Modulate Developmental Shifts but Not Infection Tolerance Upon Co‐Infection in an Insect System. Molecular Ecology. 34(20). e17726–e17726.
2.
Williams, Alissa M., et al.. (2023). The Effect of Developmental Pleiotropy on the Evolution of Insect Immune Genes. Genome Biology and Evolution. 15(3). 7 indexed citations
3.
Williams, Alissa M., et al.. (2022). Gene duplication and rate variation in the evolution of plastid ACCase and Clp genes in angiosperms. Molecular Phylogenetics and Evolution. 168. 107395–107395. 3 indexed citations
4.
Friso, Giulia, Evan S. Forsythe, Alissa M. Williams, et al.. (2022). Proteomics, phylogenetics, and coexpression analyses indicate novel interactions in the plastid CLP chaperone-protease system. Journal of Biological Chemistry. 298(3). 101609–101609. 11 indexed citations
5.
Sloan, Daniel B., et al.. (2022). Incompatibility and Interchangeability in Molecular Evolution. Genome Biology and Evolution. 15(1). 13 indexed citations
6.
Williams, Alissa M., et al.. (2021). Long-read transcriptome and other genomic resources for the angiosperm Silene noctiflora. G3 Genes Genomes Genetics. 11(8). 10 indexed citations
7.
Forsythe, Evan S., Alissa M. Williams, & Daniel B. Sloan. (2021). Genome-wide signatures of plastid-nuclear coevolution point to repeated perturbations of plastid proteostasis systems across angiosperms. The Plant Cell. 33(4). 980–997. 32 indexed citations
8.
Miller, Megan R., et al.. (2020). Partitiviruses Infecting Drosophila melanogaster and Aedes aegypti Exhibit Efficient Biparental Vertical Transmission. Journal of Virology. 94(20). 42 indexed citations
9.
Havird, Justin C., Evan S. Forsythe, Alissa M. Williams, et al.. (2019). Selfish Mitonuclear Conflict. Current Biology. 29(11). R496–R511. 75 indexed citations
10.
Williams, Alissa M., Giulia Friso, Klaas J. van Wijk, & Daniel B. Sloan. (2018). Extreme variation in rates of evolution in the plastid Clp protease complex. The Plant Journal. 98(2). 243–259. 43 indexed citations
11.
Sloan, Daniel B., Jessica M. Warren, Alissa M. Williams, et al.. (2018). Cytonuclear integration and co-evolution. Nature Reviews Genetics. 19(10). 635–648. 147 indexed citations
12.
Wagenblast, Elvin, Christina Hartl, Annika L. Gable, et al.. (2015). A model of breast cancer heterogeneity reveals vascular mimicry as a driver of metastasis. Nature. 520(7547). 358–362. 310 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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