Robert Hubley

14.5k total citations · 4 hit papers
20 papers, 4.0k citations indexed

About

Robert Hubley is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Robert Hubley has authored 20 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Robert Hubley's work include Genomics and Phylogenetic Studies (14 papers), Chromosomal and Genetic Variations (13 papers) and RNA and protein synthesis mechanisms (9 papers). Robert Hubley is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Chromosomal and Genetic Variations (13 papers) and RNA and protein synthesis mechanisms (9 papers). Robert Hubley collaborates with scholars based in United States, France and United Kingdom. Robert Hubley's co-authors include Arian F. A. Smit, Jeb Rosen, Cédric Feschotte, Clément Goubert, Andrew G. Clark, Jullien M. Flynn, Travis J. Wheeler, Jody Clements, ROBERT FINN and Thomas A. Jones and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Robert Hubley

20 papers receiving 4.0k citations

Hit Papers

RepeatModeler2 for automated ge... 2010 2026 2015 2020 2020 2010 2015 2021 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Hubley United States 14 2.6k 1.7k 1.4k 388 377 20 4.0k
Maria Nattestad United States 11 2.7k 1.1× 1.6k 0.9× 1.1k 0.8× 280 0.7× 444 1.2× 17 3.9k
Muhammad S. Shamim United States 9 4.1k 1.6× 2.4k 1.4× 1.4k 1.0× 488 1.3× 449 1.2× 13 5.6k
Zachary Lewis United States 25 2.3k 0.9× 1.9k 1.1× 1.8k 1.3× 422 1.1× 500 1.3× 53 4.7k
Robert Baertsch United States 14 3.7k 1.4× 1.7k 1.0× 1.3k 0.9× 268 0.7× 322 0.9× 21 5.1k
Oleksiy Kohany United States 11 4.2k 1.6× 3.7k 2.2× 1.2k 0.9× 397 1.0× 401 1.1× 11 5.9k
Jean‐Marc Aury France 35 2.7k 1.0× 1.8k 1.1× 778 0.6× 246 0.6× 595 1.6× 99 4.1k
Genı́s Parra Spain 23 3.4k 1.3× 2.0k 1.2× 1.1k 0.8× 469 1.2× 636 1.7× 34 5.3k
Maja Tarailo‐Graovac Canada 20 2.1k 0.8× 1.1k 0.6× 945 0.7× 206 0.5× 234 0.6× 58 3.3k
Weidong Bao United States 15 2.1k 0.8× 1.6k 0.9× 643 0.5× 246 0.6× 254 0.7× 25 3.0k

Countries citing papers authored by Robert Hubley

Since Specialization
Citations

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

Fields of papers citing papers by Robert Hubley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Hubley

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Hubley. A scholar is included among the top collaborators of Robert Hubley 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 Robert Hubley. Robert Hubley 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.
Bonilla, E., et al.. (2023). Survey of COVID-19 Vaccine Attitudes in Predominately Minority Pregnant Women. Southern Medical Journal. 116(8). 677–682. 2 indexed citations
2.
Hubley, Robert, Travis J. Wheeler, & Arian F. A. Smit. (2022). Accuracy of multiple sequence alignment methods in the reconstruction of transposable element families. NAR Genomics and Bioinformatics. 4(2). lqac040–lqac040. 7 indexed citations
3.
Storer, Jessica M., Robert Hubley, Jeb Rosen, & Arian F. A. Smit. (2022). Methodologies for the De novo Discovery of Transposable Element Families. Genes. 13(4). 709–709. 16 indexed citations
4.
Storer, Jessica M., Robert Hubley, Jeb Rosen, Travis J. Wheeler, & Arian F. A. Smit. (2021). The Dfam community resource of transposable element families, sequence models, and genome annotations. Mobile DNA. 12(1). 2–2. 344 indexed citations breakdown →
5.
Storer, Jessica M., Robert Hubley, Jeb Rosen, & Arian F. A. Smit. (2021). Curation Guidelines for de novo Generated Transposable Element Families. Current Protocols. 1(6). e154–e154. 17 indexed citations
6.
Flynn, Jullien M., Robert Hubley, Clément Goubert, et al.. (2020). RepeatModeler2 for automated genomic discovery of transposable element families. Proceedings of the National Academy of Sciences. 117(17). 9451–9457. 1907 indexed citations breakdown →
7.
Konkel, Miriam K., et al.. (2016). Discovery of a new repeat family in the Callithrix jacchus genome. Genome Research. 26(5). 649–659. 8 indexed citations
8.
Hubley, Robert, ROBERT FINN, Jody Clements, et al.. (2015). The Dfam database of repetitive DNA families. Nucleic Acids Research. 44(D1). D81–D89. 449 indexed citations breakdown →
9.
Hoen, Douglas R., Glenn Hickey, Guillaume Bourque, et al.. (2015). A call for benchmarking transposable element annotation methods. Mobile DNA. 6(1). 13–13. 55 indexed citations
10.
Li, Hong, Gustavo Glusman, Hao Hu, et al.. (2014). Relationship Estimation from Whole-Genome Sequence Data. PLoS Genetics. 10(1). e1004144–e1004144. 54 indexed citations
11.
Wheeler, Travis J., Jody Clements, Sean R. Eddy, et al.. (2012). Dfam: a database of repetitive DNA based on profile hidden Markov models. Nucleic Acids Research. 41(D1). D70–D82. 212 indexed citations
12.
Walker, Jerilyn A., Miriam K. Konkel, Brygg Ullmer, et al.. (2012). Orangutan Alu quiescence reveals possible source element: support for ancient backseat drivers. Mobile DNA. 3(1). 8–8. 10 indexed citations
13.
Roach, Jared C., Gustavo Glusman, Robert Hubley, et al.. (2011). Chromosomal Haplotypes by Genetic Phasing of Human Families. The American Journal of Human Genetics. 89(3). 382–397. 45 indexed citations
14.
Roach, Jared C., Gustavo Glusman, Arian F. A. Smit, et al.. (2010). Analysis of Genetic Inheritance in a Family Quartet by Whole-Genome Sequencing. Science. 328(5978). 636–639. 722 indexed citations breakdown →
15.
Pagán, Heidi J. T., Jeremy D. Smith, Robert Hubley, & David A. Ray. (2010). PiggyBac-ing on a Primate Genome: Novel Elements, Recent Activity and Horizontal Transfer. Genome Biology and Evolution. 2. 293–303. 29 indexed citations
16.
Jiang, Zhaoshi, Robert Hubley, Arian F. A. Smit, & Evan E. Eichler. (2008). DupMasker: A tool for annotating primate segmental duplications. Genome Research. 18(8). 1362–1368. 29 indexed citations
17.
Han, Kyudong, Miriam K. Konkel, Jinchuan Xing, et al.. (2007). Mobile DNA in Old World Monkeys: A Glimpse Through the Rhesus Macaque Genome. Science. 316(5822). 238–240. 76 indexed citations
18.
Hubley, Robert, Eckart Zitzler, & Jared C. Roach. (2003). Evolutionary algorithms for the selection of single nucleotide polymorphisms. BMC Bioinformatics. 4(1). 30–30. 19 indexed citations
19.
Kolker, Eugene, Brian Tjaden, Robert Hubley, Edward N. Trifonov, & Andrew F. Siegel. (2002). Spectral Analysis of Distributions: Finding Periodic Components in Eukaryotic Enzyme Length Data. OMICS A Journal of Integrative Biology. 6(1). 123–130. 5 indexed citations
20.
Hubley, Robert, et al.. (2002). Multiobjective Genetic Marker Selection. 4 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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