Jason Caravas

1.8k total citations
20 papers, 539 citations indexed

About

Jason Caravas is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Jason Caravas has authored 20 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in Jason Caravas's work include Genomics and Phylogenetic Studies (5 papers), Legionella and Acanthamoeba research (3 papers) and Genetic diversity and population structure (3 papers). Jason Caravas is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Legionella and Acanthamoeba research (3 papers) and Genetic diversity and population structure (3 papers). Jason Caravas collaborates with scholars based in United States, United Kingdom and Canada. Jason Caravas's co-authors include Markus Friedrich, Shatavia S. Morrison, Shaokang Zhang, Heather A. Carleton, Henk C. den Bakker, Taylor Griswold, Xiangyu Deng, Lee S. Katz, Derek E. Wildman and Rutger Vos and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Emerging infectious diseases.

In The Last Decade

Jason Caravas

18 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Caravas United States 13 239 86 72 70 68 20 539
Weiwen Wang China 15 316 1.3× 66 0.8× 20 0.3× 150 2.1× 37 0.5× 22 598
Tanya A. Koropatnick United States 9 195 0.8× 77 0.9× 23 0.3× 133 1.9× 163 2.4× 10 596
David Dylus United Kingdom 11 366 1.5× 116 1.3× 35 0.5× 90 1.3× 11 0.2× 15 678
Michael S. Wollenberg United States 13 446 1.9× 159 1.8× 18 0.3× 180 2.6× 396 5.8× 17 846
Jean-Baka Domelevo Entfellner Kenya 12 322 1.3× 139 1.6× 27 0.4× 105 1.5× 23 0.3× 28 778
Rebecca P. Duncan United States 14 321 1.3× 269 3.1× 18 0.3× 104 1.5× 19 0.3× 19 914
Qing Zhao China 16 257 1.1× 99 1.2× 14 0.2× 161 2.3× 52 0.8× 74 839
Junpeng Zhang China 15 180 0.8× 114 1.3× 32 0.4× 71 1.0× 11 0.2× 40 819
Marius Felder Germany 15 469 2.0× 108 1.3× 18 0.3× 89 1.3× 22 0.3× 28 870
Sudhindra R. Gadagkar United States 11 485 2.0× 259 3.0× 80 1.1× 151 2.2× 11 0.2× 25 867

Countries citing papers authored by Jason Caravas

Since Specialization
Citations

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

Fields of papers citing papers by Jason Caravas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Caravas

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Caravas. A scholar is included among the top collaborators of Jason Caravas 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 Jason Caravas. Jason Caravas 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.
2.
Welsh, Rory M., Jeffrey W. Mercante, Jason Caravas, et al.. (2025). Detection and Tracking of SARS-CoV-2 Lineages through National Wastewater Surveillance System Pathogen Genomics. Emerging infectious diseases. 31(13). 57–60.
3.
Katz, Lee S., Taylor Griswold, Shatavia S. Morrison, et al.. (2019). Mashtree: a rapid comparison of whole genome sequence files. The Journal of Open Source Software. 4(44). 1762–1762. 146 indexed citations
4.
5.
Mercante, Jeffrey W., et al.. (2018). Genomic heterogeneity differentiates clinical and environmental subgroups of Legionella pneumophila sequence type 1. PLoS ONE. 13(10). e0206110–e0206110. 12 indexed citations
6.
Kozak‐Muiznieks, Natalia A., Shatavia S. Morrison, Jeffrey W. Mercante, et al.. (2018). Comparative genome analysis reveals a complex population structure of Legionella pneumophila subspecies. Infection Genetics and Evolution. 59. 172–185. 19 indexed citations
7.
Armstrong, Don, Michael R. McGowen, Amy Weckle, et al.. (2017). The core transcriptome of mammalian placentas and the divergence of expression with placental shape. Placenta. 57. 71–78. 43 indexed citations
8.
Boddy, Amy M., Peter W. Harrison, Stephen H. Montgomery, et al.. (2017). Evidence of a Conserved Molecular Response to Selection for Increased Brain Size in Primates. Genome Biology and Evolution. 9(3). 700–713. 17 indexed citations
9.
Diaz, Maureen H., Shatavia S. Morrison, Alvaro J. Benitez, et al.. (2017). Comprehensive bioinformatics analysis of Mycoplasma pneumoniae genomes to investigate underlying population structure and type-specific determinants. PLoS ONE. 12(4). e0174701–e0174701. 27 indexed citations
10.
Peabody, Michael A., Jason Caravas, Shatavia S. Morrison, et al.. (2017). Characterization of Legionella Species from Watersheds in British Columbia, Canada. mSphere. 2(4). 14 indexed citations
11.
Caravas, Jason & Derek E. Wildman. (2014). A genetic perspective on glucose consumption in the cerebral cortex during human development. Diabetes Obesity and Metabolism. 16(S1). 21–25. 15 indexed citations
12.
McGowen, Michael R., et al.. (2013). From PPROM to caul: The evolution of membrane rupture in mammals. PubMed. 2. 70–77. 3 indexed citations
13.
Jones, Jeffery W., et al.. (2012). Dramatic Expansion and Developmental Expression Diversification of the Methuselah Gene Family During Recent Drosophila Evolution. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 318(5). 368–387. 34 indexed citations
14.
Vos, Rutger, James P. Balhoff, Jason Caravas, et al.. (2012). NeXML: Rich, Extensible, and Verifiable Representation of Comparative Data and Metadata. Systematic Biology. 61(4). 675–689. 70 indexed citations
15.
Caravas, Jason & Markus Friedrich. (2012). Shaking the Diptera tree of life: performance analysis of nuclear and mitochondrial sequence data partitions. Systematic Entomology. 38(1). 93–103. 25 indexed citations
16.
Caravas, Jason. (2012). Phylogenetic utility of mitochondrial and nuclear genes: a case study in the diptera (true flies). DigitalCommons - WayneState (Wayne State University). 1 indexed citations
17.
Vos, Rutger, Jason Caravas, Klaas Hartmann, Mark A. Jensen, & Chase Miller. (2011). BIO::Phylo-phyloinformatic analysis using perl. BMC Bioinformatics. 12(1). 63–63. 24 indexed citations
18.
Friedrich, Markus & Jason Caravas. (2011). New insights from hemichordate genomes: prebilaterian origin and parallel modifications in the paired domain of the Pax gene eyegone. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 316B(6). 387–392. 8 indexed citations
19.
Friedrich, Markus, Rui Chen, Riyue Bao, et al.. (2011). Phototransduction and clock gene expression in the troglobiont beetlePtomaphagus hirtusof Mammoth cave. Journal of Experimental Biology. 214(21). 3532–3541. 58 indexed citations
20.
Caravas, Jason & Markus Friedrich. (2010). Of mites and millipedes: Recent progress in resolving the base of the arthropod tree. BioEssays. 32(6). 488–495. 14 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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