Claudia Bank

3.7k total citations
50 papers, 1.3k citations indexed

About

Claudia Bank is a scholar working on Genetics, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Claudia Bank has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 16 papers in Molecular Biology and 10 papers in Sociology and Political Science. Recurrent topics in Claudia Bank's work include Evolution and Genetic Dynamics (41 papers), Genetic diversity and population structure (11 papers) and Evolutionary Game Theory and Cooperation (10 papers). Claudia Bank is often cited by papers focused on Evolution and Genetic Dynamics (41 papers), Genetic diversity and population structure (11 papers) and Evolutionary Game Theory and Cooperation (10 papers). Claudia Bank collaborates with scholars based in Switzerland, Portugal and United States. Claudia Bank's co-authors include Jeffrey D. Jensen, Ryan T. Hietpas, Daniel N. Bolon, Alexandre Blanckaert, Joachim Hermisson, Sebastian Matuszewski, Reinhard Bürger, Inês Fragata, Matthieu Foll and Gregory B. Ewing and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Claudia Bank

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Bank Switzerland 21 986 552 209 205 140 50 1.3k
Gunther Jansen Germany 18 629 0.6× 403 0.7× 178 0.9× 130 0.6× 71 0.5× 35 1.3k
Eric D. Kelsic United States 9 598 0.6× 650 1.2× 113 0.5× 181 0.9× 71 0.5× 12 1.3k
Daniel P. Rice United States 11 898 0.9× 690 1.3× 123 0.6× 246 1.2× 139 1.0× 17 1.2k
Jeremy A. Draghi United States 14 678 0.7× 431 0.8× 221 1.1× 168 0.8× 98 0.7× 31 1.0k
Gerda Saxer United States 16 432 0.4× 375 0.7× 173 0.8× 202 1.0× 48 0.3× 21 927
M. R. Badgett United States 13 863 0.9× 609 1.1× 104 0.5× 196 1.0× 275 2.0× 16 1.3k
Yuseob Kim United States 23 2.4k 2.5× 910 1.6× 345 1.7× 124 0.6× 523 3.7× 47 3.1k
Pleuni S. Pennings United States 21 1.7k 1.7× 520 0.9× 448 2.1× 164 0.8× 366 2.6× 49 2.5k
Clifford Zeyl United States 22 1.2k 1.2× 1.1k 2.0× 421 2.0× 275 1.3× 540 3.9× 42 2.1k
Michael A. Gilchrist United States 18 605 0.6× 594 1.1× 66 0.3× 153 0.7× 116 0.8× 38 1.5k

Countries citing papers authored by Claudia Bank

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Bank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Bank

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Bank. A scholar is included among the top collaborators of Claudia Bank 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 Claudia Bank. Claudia Bank 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.
Bank, Claudia, et al.. (2025). Drivers of diversity within and between microbial communities during stochastic assembly. Journal of The Royal Society Interface. 22(232). 20250329–20250329.
2.
Bank, Claudia, et al.. (2025). Antimicrobial resistance in wildlife: Associations with environmental factors and taxonomic variation. Environmental Research. 281. 121968–121968.
3.
Bank, Claudia, et al.. (2025). Studying the genetic basis of ecological interactions with intergenomic epistasis. Oikos. 2025(6). 1 indexed citations
4.
Hinz, Aaron, et al.. (2024). Unpredictability of the Fitness Effects of Antimicrobial Resistance Mutations Across Environments in Escherichia coli. Molecular Biology and Evolution. 41(5). 7 indexed citations
5.
Li, Juan & Claudia Bank. (2024). Dominance and multi-locus interaction. Trends in Genetics. 40(4). 364–378. 2 indexed citations
6.
Bank, Claudia, et al.. (2023). Evolutionary rescue in a fluctuating environment: periodic versus quasi-periodic environmental changes. Proceedings of the Royal Society B Biological Sciences. 290(1999). 20230770–20230770. 6 indexed citations
7.
Blanckaert, Alexandre, et al.. (2023). In search of the Goldilocks zone for hybrid speciation II: hard times for hybrid speciation?. Evolution. 77(10). 2162–2172. 3 indexed citations
8.
Gordo, Isabel, et al.. (2023). Epistasis decreases with increasing antibiotic pressure but not temperature. Philosophical Transactions of the Royal Society B Biological Sciences. 378(1877). 20220058–20220058. 13 indexed citations
9.
Li, Juan, et al.. (2023). Rapid adaptation of recombining populations on tunable fitness landscapes. Molecular Ecology. 33(10). e16900–e16900. 2 indexed citations
10.
Bank, Claudia, et al.. (2022). The extinction time under mutational meltdown driven by high mutation rates. Ecology and Evolution. 12(7). e9046–e9046. 7 indexed citations
11.
Butlin, Roger K., Maria R. Servedio, Carole M. Smadja, et al.. (2021). Homage to Felsenstein 1981, or why are there so few/many species?. Evolution. 75(5). 978–988. 11 indexed citations
12.
Berdan, Emma L., Alexandre Blanckaert, Roger K. Butlin, & Claudia Bank. (2021). Deleterious mutation accumulation and the long-term fate of chromosomal inversions. PLoS Genetics. 17(3). e1009411–e1009411. 68 indexed citations
13.
Ramiro, Ricardo S., Paulo Durão, Claudia Bank, & Isabel Gordo. (2020). Low mutational load and high mutation rate variation in gut commensal bacteria. PLoS Biology. 18(3). e3000617–e3000617. 47 indexed citations
14.
Flynn, Julia M., et al.. (2020). Comprehensive fitness maps of Hsp90 show widespread environmental dependence. eLife. 9. 42 indexed citations
15.
Fragata, Inês, Julia M. Flynn, David Mavor, et al.. (2020). The Adaptive Potential of the Middle Domain of Yeast Hsp90. Molecular Biology and Evolution. 38(2). 368–379. 7 indexed citations
16.
Nouhaud, Pierre, Alexandre Blanckaert, Claudia Bank, & Jonna Kulmuni. (2019). Understanding Admixture: Haplodiploidy to the Rescue. Trends in Ecology & Evolution. 35(1). 34–42. 10 indexed citations
17.
Hall, Anne, et al.. (2019). Environment changes epistasis to alter trade‐offs along alternative evolutionary paths. Evolution. 73(10). 2094–2105. 22 indexed citations
18.
Blanckaert, Alexandre, et al.. (2018). Conflict between heterozygote advantage and hybrid incompatibility in haplodiploids (and sex chromosomes). Molecular Ecology. 27(19). 3935–3949. 5 indexed citations
19.
Fragata, Inês, et al.. (2018). The fitness landscape of the codon space across environments. Heredity. 121(5). 422–437. 14 indexed citations
20.
Matuszewski, Sebastian, et al.. (2016). A Statistical Guide to the Design of Deep Mutational Scanning Experiments. Genetics. 204(1). 77–87. 27 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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