Faye Schilkey

3.6k total citations · 3 hit papers
38 papers, 2.0k citations indexed

About

Faye Schilkey is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Faye Schilkey has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Infectious Diseases and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Faye Schilkey's work include Genomics and Phylogenetic Studies (7 papers), Mosquito-borne diseases and control (7 papers) and Viral Infections and Vectors (5 papers). Faye Schilkey is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Mosquito-borne diseases and control (7 papers) and Viral Infections and Vectors (5 papers). Faye Schilkey collaborates with scholars based in United States, Australia and Czechia. Faye Schilkey's co-authors include Joann Mudge, Zachariah Gompert, Craig W. Benkman, Thomas L. Parchman, C. Alex Buerkle, Nicholas P. Devitt, Jimmy E. Woodward, Neil Miller, Jennifer L. Jacobi and Salah E. Abdel‐Ghany and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Faye Schilkey

37 papers receiving 2.0k citations

Hit Papers

Carrier Testing for Severe Childhood Recessive Diseases b... 2011 2026 2016 2021 2011 2016 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faye Schilkey United States 18 788 606 368 311 292 38 2.0k
Sujai Kumar United Kingdom 22 1.2k 1.5× 448 0.7× 563 1.5× 104 0.3× 311 1.1× 29 2.4k
Palle Villesen Denmark 22 752 1.0× 805 1.3× 331 0.9× 148 0.5× 258 0.9× 58 2.1k
Sean McWilliam Australia 30 808 1.0× 1.2k 1.9× 241 0.7× 171 0.5× 83 0.3× 66 2.4k
Keren Byrne Australia 37 1.1k 1.3× 1.6k 2.6× 479 1.3× 110 0.4× 138 0.5× 82 3.5k
Zissis Mamuris Greece 23 454 0.6× 422 0.7× 133 0.4× 109 0.4× 157 0.5× 88 1.5k
Christelle Hennequet‐Antier France 25 1.2k 1.5× 520 0.9× 184 0.5× 152 0.5× 73 0.3× 54 2.5k
Hernán Dopazo Spain 24 983 1.2× 516 0.9× 348 0.9× 65 0.2× 94 0.3× 53 2.1k
Christoph Grunau France 31 1.5k 1.9× 532 0.9× 224 0.6× 194 0.6× 114 0.4× 84 3.1k
Kurt Wollenberg United States 24 784 1.0× 416 0.7× 188 0.5× 199 0.6× 48 0.2× 49 2.0k

Countries citing papers authored by Faye Schilkey

Since Specialization
Citations

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

Fields of papers citing papers by Faye Schilkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faye Schilkey

This figure shows the co-authorship network connecting the top 25 collaborators of Faye Schilkey. A scholar is included among the top collaborators of Faye Schilkey 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 Faye Schilkey. Faye Schilkey 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.
Bell, Callum J., Nicholas P. Devitt, Faye Schilkey, et al.. (2024). Identification and quantitation of multiple variants in RNA virus genomes. Biology Methods and Protocols. 9(1). bpae004–bpae004.
2.
Sundararajan, Anitha, et al.. (2021). Mfd Affects Global Transcription and the Physiology of Stressed Bacillus subtilis Cells. Frontiers in Microbiology. 12. 625705–625705. 8 indexed citations
3.
Goropashnaya, Anna V., Øivind Tøien, Thiruvarangan Ramaraj, et al.. (2021). Transcriptional changes and preservation of bone mass in hibernating black bears. Scientific Reports. 11(1). 8281–8281. 8 indexed citations
4.
Wheaton, Benjamin, et al.. (2020). Identification of regenerative processes in neonatal spinal cord injury in the opossum ( Monodelphis domestica ): A transcriptomic study. The Journal of Comparative Neurology. 529(5). 969–986. 12 indexed citations
5.
Li, Guangyuan, Anitha Sundararajan, Thiruvarangan Ramaraj, et al.. (2018). Histone Citrullination Represses MicroRNA Expression, Resulting in Increased Oncogene mRNAs in Somatolactotrope Cells. Molecular and Cellular Biology. 38(19). 23 indexed citations
6.
Sundararajan, Anitha, Hallie S. Rane, Thiruvarangan Ramaraj, et al.. (2018). Cranberry-derived proanthocyanidins induce a differential transcriptomic response within Candida albicans urinary biofilms. PLoS ONE. 13(8). e0201969–e0201969. 4 indexed citations
7.
Tsujimoto, Hitoshi, Kathryn A. Hanley, Anitha Sundararajan, et al.. (2017). Dengue virus serotype 2 infection alters midgut and carcass gene expression in the Asian tiger mosquito, Aedes albopictus. PLoS ONE. 12(2). e0171345–e0171345. 19 indexed citations
8.
Neupane, Durga, et al.. (2017). Zinc-Dependent Transcriptional Regulation in Paracoccus denitrificans. Frontiers in Microbiology. 8. 569–569. 16 indexed citations
10.
Bayha, Keith M., Caitlin N. Ryan, Kimberly J. Griffitt, et al.. (2017). Crude oil impairs immune function and increases susceptibility to pathogenic bacteria in southern flounder. PLoS ONE. 12(5). e0176559–e0176559. 39 indexed citations
11.
Abdel‐Ghany, Salah E., Michael Hamilton, Jennifer L. Jacobi, et al.. (2016). A survey of the sorghum transcriptome using single-molecule long reads. Nature Communications. 7(1). 11706–11706. 395 indexed citations breakdown →
12.
13.
Velkinburgh, Jennifer C. van, et al.. (2015). RNA-Seq and microarray analysis of the Xenopus inner ear transcriptome discloses orthologous OMIM® genes for hereditary disorders of hearing and balance. BMC Research Notes. 8(1). 691–691. 4 indexed citations
14.
Mukherjee, Munmun, Sanath Kumar, Madhuri A. Inupakutika, et al.. (2014). Comparative genome analysis of non-toxigenic non-O1 versus toxigenic O1 Vibrio cholerae. PubMed. 2(1). 1–1. 11 indexed citations
15.
Dziewanowska, Katarzyna, et al.. (2014). Phase Variation in Myxococcus xanthus Yields Cells Specialized for Iron Sequestration. PLoS ONE. 9(4). e95189–e95189. 10 indexed citations
16.
Schirtzinger, Erin E., Nicholas P. Devitt, Thiruvarangan Ramaraj, et al.. (2014). Repertoire of virus-derived small RNAs produced by mosquito and mammalian cells in response to dengue virus infection. Virology. 476. 54–60. 11 indexed citations
17.
Parchman, Thomas L., Zachariah Gompert, Joann Mudge, et al.. (2012). Genome‐wide association genetics of an adaptive trait in lodgepole pine. Molecular Ecology. 21(12). 2991–3005. 353 indexed citations breakdown →
19.
Brackney, Doug E., Jaclyn C. Scott, Fumihiko Sagawa, et al.. (2010). C6/36 Aedes albopictus Cells Have a Dysfunctional Antiviral RNA Interference Response. PLoS neglected tropical diseases. 4(10). e856–e856. 249 indexed citations
20.
Skupski, Marian, Matthew A. Booker, Andrew Farmer, et al.. (1999). The Genome Sequence DataBase: towards an integrated functional genomics resource. Nucleic Acids Research. 27(1). 35–38. 18 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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