Rachel J. Whitaker

6.0k total citations · 1 hit paper
85 papers, 4.2k citations indexed

About

Rachel J. Whitaker is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Rachel J. Whitaker has authored 85 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 46 papers in Ecology and 30 papers in Genetics. Recurrent topics in Rachel J. Whitaker's work include Genomics and Phylogenetic Studies (34 papers), Bacteriophages and microbial interactions (28 papers) and Microbial Community Ecology and Physiology (21 papers). Rachel J. Whitaker is often cited by papers focused on Genomics and Phylogenetic Studies (34 papers), Bacteriophages and microbial interactions (28 papers) and Microbial Community Ecology and Physiology (21 papers). Rachel J. Whitaker collaborates with scholars based in United States, United Kingdom and France. Rachel J. Whitaker's co-authors include Dennis W. Grogan, John W. Taylor, Nicole L. Held, Brendan J. M. Bohannan, Jessica L. Green, Changyi Zhang, David Krause, Michael L. Reno, Jillian F. Banfield and Joshua S. Weitz and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Rachel J. Whitaker

81 papers receiving 4.1k citations

Hit Papers

Geographic Barriers Isolate Endemic Populations of Hypert... 2003 2026 2010 2018 2003 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
Rachel J. Whitaker United States 32 2.6k 2.3k 792 471 318 85 4.2k
Douglas B. Rusch United States 36 2.6k 1.0× 2.1k 0.9× 618 0.8× 398 0.8× 407 1.3× 105 4.4k
Valeria Souza Mexico 38 1.8k 0.7× 1.8k 0.8× 865 1.1× 1.1k 2.3× 329 1.0× 155 4.8k
John C. Detter United States 29 2.6k 1.0× 1.7k 0.7× 441 0.6× 1.1k 2.3× 530 1.7× 60 5.6k
Marcel Huntemann United States 28 3.6k 1.4× 2.9k 1.3× 334 0.4× 1.1k 2.3× 510 1.6× 93 5.7k
Han Ming Gan Malaysia 32 2.1k 0.8× 1.5k 0.7× 469 0.6× 461 1.0× 101 0.3× 235 4.0k
Georgia Giannoukos United States 21 3.8k 1.5× 1.3k 0.6× 1.1k 1.3× 708 1.5× 184 0.6× 28 6.2k
Kassian Kobert Germany 6 1.7k 0.7× 1.4k 0.6× 664 0.8× 588 1.2× 229 0.7× 10 4.0k
Pierre Peyret France 34 1.9k 0.7× 961 0.4× 298 0.4× 644 1.4× 457 1.4× 91 3.9k
Alberto Pallavicini Italy 43 2.0k 0.8× 1.2k 0.5× 373 0.5× 423 0.9× 172 0.5× 199 5.8k
Gary Xie United States 38 2.0k 0.8× 937 0.4× 368 0.5× 775 1.6× 172 0.5× 95 4.6k

Countries citing papers authored by Rachel J. Whitaker

Since Specialization
Citations

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

Fields of papers citing papers by Rachel J. Whitaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel J. Whitaker. 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 Rachel J. Whitaker. The network helps show where Rachel J. Whitaker may publish in the future.

Co-authorship network of co-authors of Rachel J. Whitaker

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel J. Whitaker. A scholar is included among the top collaborators of Rachel J. Whitaker 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 Rachel J. Whitaker. Rachel J. Whitaker 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.
Ganote, Carrie, Lílian Caesar, Danny W. Rice, Rachel J. Whitaker, & Irene L. G. Newton. (2025). Evolutionary trends in Bombella apis CRISPR-Cas systems. mSystems. 10(7). e0016625–e0016625.
2.
Whitaker, Rachel J., et al.. (2025). Host Competitive Asymmetries Accelerate Viral Evolution in a Microbe–Virus Coevolutionary System. Ecology Letters. 28(6). e70153–e70153. 1 indexed citations
3.
Schwarz, Carl J., John G. McMullen, Jennifer A. Lau, et al.. (2025). Plasmid transmission dynamics and evolution of partner quality in a natural population of Rhizobium leguminosarum. mBio. 16(12). e0249725–e0249725.
5.
Zeineldin, Mohamed, Moiz Usmani, Antarpreet Jutla, et al.. (2023). Local and Environmental Reservoirs ofSalmonella entericaAfter Hurricane Florence Flooding. GeoHealth. 7(11). e2023GH000877–e2023GH000877. 3 indexed citations
6.
Orazi, Giulia, Alan J. Collins, & Rachel J. Whitaker. (2022). Prediction of Prophages and Their Host Ranges in Pathogenic and Commensal Neisseria Species. mSystems. 7(3). e0008322–e0008322. 12 indexed citations
7.
Whitaker, Rachel J., et al.. (2022). Phage–Antibiotic Synergy Inhibited by Temperate and Chronic Virus Competition. Bulletin of Mathematical Biology. 84(5). 54–54. 7 indexed citations
8.
Hershey, David M., et al.. (2020). Discovering the Molecular Determinants of Phaeobacter inhibens Susceptibility to Phaeobacter Phage MD18. mSphere. 5(6). 5 indexed citations
9.
Pilosof, Shai, Tong Wang, Ted Kim, et al.. (2020). The network structure and eco-evolutionary dynamics of CRISPR-induced immune diversification. Nature Ecology & Evolution. 4(12). 1650–1660. 23 indexed citations
10.
Weitz, Joshua S., et al.. (2019). Viral invasion fitness across a continuum from lysis to latency†. Virus Evolution. 5(1). vez006–vez006. 51 indexed citations
11.
Kim, Ted, et al.. (2019). Lying in Wait: Modeling the Control of Bacterial Infections via Antibiotic-Induced Proviruses. mSystems. 4(5). 4 indexed citations
12.
Tsai, Chi-Lin, Changyi Zhang, Marta Rodríguez‐Franco, et al.. (2019). The structure of the periplasmic FlaG–FlaF complex and its essential role for archaellar swimming motility. Nature Microbiology. 5(1). 216–225. 27 indexed citations
13.
Ling, Fangqiong, Rachel J. Whitaker, Mark W. LeChevallier, & Wen‐Tso Liu. (2018). Drinking water microbiome assembly induced by water stagnation. The ISME Journal. 12(6). 1520–1531. 181 indexed citations
14.
Campbell, Kate M., Whitney England, R. Anderson, et al.. (2017). Sulfolobus islandicus meta‐populations in Yellowstone National Park hot springs. Environmental Microbiology. 19(6). 2334–2347. 15 indexed citations
15.
Youngblut, Nicholas D., Joseph S. Wirth, James R. Henriksen, et al.. (2015). Genomic and phenotypic differentiation among Methanosarcina mazei populations from Columbia River sediment. The ISME Journal. 9(10). 2191–2205. 28 indexed citations
16.
Zhang, Changyi, et al.. (2013). Augmenting the Genetic Toolbox for Sulfolobus islandicus with a Stringent Positive Selectable Marker for Agmatine Prototrophy. Applied and Environmental Microbiology. 79(18). 5539–5549. 30 indexed citations
17.
Held, Nicole L., et al.. (2013). Reassortment of CRISPR repeat‐spacer loci in S ulfolobus islandicus . Environmental Microbiology. 15(11). 3065–3076. 28 indexed citations
18.
Zhang, Changyi & Rachel J. Whitaker. (2012). A broadly applicable gene knockout system for the thermoacidophilic archaeon Sulfolobus islandicus based on simvastatin selection. Microbiology. 158(6). 1513–1522. 28 indexed citations
19.
Whitaker, Rachel J., Dennis W. Grogan, & John W. Taylor. (2003). Geographic Barriers Isolate Endemic Populations of Hyperthermophilic Archaea. Science. 301(5635). 976–978. 625 indexed citations breakdown →
20.
Kurt, Robert A., et al.. (2000). Spontaneous mammary carcinomas fail to induce an immune response in syngeneic FVBN202 neu transgenic mice. International Journal of Cancer. 87(5). 688–694. 15 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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