Trevor Hawkins

39.9k total citations
29 papers, 2.9k citations indexed

About

Trevor Hawkins is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Trevor Hawkins has authored 29 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Biomedical Engineering. Recurrent topics in Trevor Hawkins's work include CRISPR and Genetic Engineering (6 papers), Genomics and Phylogenetic Studies (5 papers) and RNA and protein synthesis mechanisms (5 papers). Trevor Hawkins is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Genomics and Phylogenetic Studies (5 papers) and RNA and protein synthesis mechanisms (5 papers). Trevor Hawkins collaborates with scholars based in United States, United Kingdom and France. Trevor Hawkins's co-authors include Eric S. Lander, Margaret M. DeAngelis, Anne W. Kerrebrock, Mary Pat Reeve, Leonid Kruglyak, Victor van Berkel, Bruce A. Hamilton, Bruce W. Birren, Cynthia Santillan and Paul M. Richardson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Trevor Hawkins

27 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trevor Hawkins United States 19 1.9k 806 330 257 236 29 2.9k
Andrew Bassett United Kingdom 35 3.6k 1.9× 733 0.9× 1.1k 3.4× 278 1.1× 441 1.9× 64 5.0k
A. Francis Stewart Germany 44 5.2k 2.7× 1.5k 1.8× 384 1.2× 81 0.3× 184 0.8× 98 6.2k
Luis Covarrubias Mexico 30 2.2k 1.1× 1.1k 1.3× 310 0.9× 38 0.1× 278 1.2× 69 3.4k
Dahua Chen China 36 3.3k 1.7× 709 0.9× 579 1.8× 116 0.5× 270 1.1× 105 4.4k
Wilfried Haerty United Kingdom 28 2.3k 1.2× 754 0.9× 383 1.2× 79 0.3× 200 0.8× 86 3.4k
Victor Guryev Netherlands 36 3.9k 2.0× 1.6k 1.9× 646 2.0× 233 0.9× 194 0.8× 124 5.9k
Tetsushi Sakuma Japan 41 5.3k 2.7× 1.8k 2.2× 492 1.5× 321 1.2× 258 1.1× 161 6.3k
Shaojun Du United States 33 2.6k 1.4× 1.2k 1.5× 131 0.4× 101 0.4× 158 0.7× 119 4.2k
James B. Stewart Germany 38 4.5k 2.3× 952 1.2× 256 0.8× 229 0.9× 226 1.0× 60 5.3k

Countries citing papers authored by Trevor Hawkins

Since Specialization
Citations

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

Fields of papers citing papers by Trevor Hawkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trevor Hawkins

This figure shows the co-authorship network connecting the top 25 collaborators of Trevor Hawkins. A scholar is included among the top collaborators of Trevor Hawkins 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 Trevor Hawkins. Trevor Hawkins 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.
Bazán, Carlos, David Barba, Trevor Hawkins, et al.. (2012). Contractility assessment in enzymatically isolated cardiomyocytes. Biophysical Reviews. 4(3). 231–243. 5 indexed citations
2.
Keys, David N., Anna Di Gregorio, Naoe Harafuji, et al.. (2005). A saturation screen for cis-acting regulatory DNA in the Hox genes of Ciona intestinalis. University of North Texas Digital Library (University of North Texas). 3 indexed citations
3.
Predki, Paul, et al.. (2004). Rolling Circle Amplification for Sequencing Templates. Humana Press eBooks. 255. 189–196. 5 indexed citations
4.
State, Matthew W., John M. Greally, Adam Cuker, et al.. (2003). Epigenetic abnormalities associated with a chromosome 18(q21-q22) inversion and a Gilles de la Tourette syndrome phenotype. Proceedings of the National Academy of Sciences. 100(8). 4684–4689. 53 indexed citations
5.
Hawkins, Trevor, John C. Detter, & Paul M. Richardson. (2002). Whole genome amplification — applications and advances. Current Opinion in Biotechnology. 13(1). 65–67. 67 indexed citations
6.
Detter, John C., Jamie Jett, Susan Lucas, et al.. (2002). Isothermal Strand-Displacement Amplification Applications for High-Throughput Genomics. Genomics. 80(6). 691–698. 66 indexed citations
7.
Elkin, Christopher J., Paul M. Richardson, H. Matthew Fourcade, et al.. (2001). High-Throughput Plasmid Purification for Capillary Sequencing. Genome Research. 11(7). 1269–1274. 42 indexed citations
8.
Collins, Colin C., Stanislav Volik, David Kowbel, et al.. (2001). Comprehensive Genome Sequence Analysis of a Breast Cancer Amplicon. Genome Research. 11(6). 1034–1042. 30 indexed citations
9.
Hamilton, Bruce A., Desmond Smith, Anne W. Kerrebrock, et al.. (1997). The vibrator Mutation Causes Neurodegeneration via Reduced Expression of PITPα: Positional Complementation Cloning and Extragenic Suppression. Neuron. 18(5). 711–722. 154 indexed citations
10.
Hamilton, Bruce A., Wayne N. Frankel, Anne W. Kerrebrock, et al.. (1996). Correction: Disruption of the nuclear hormone receptor RORα in staggerer mice (Nature Journal (1996) 379 (736-739)). Nature. 381(6580). 31 indexed citations
11.
Saxena, Richa, Laura Brown, Trevor Hawkins, et al.. (1996). The DAZ gene cluster on the human Y chromosome arose from an autosomal gene that was transposed, repeatedly amplified and pruned. Nature Genetics. 14(3). 292–299. 355 indexed citations
12.
Hamilton, Bruce A., Wayne N. Frankel, Anne W. Kerrebrock, et al.. (1996). Disruption of the nuclear hormone receptor RORα in staggerer mice. Nature. 379(6567). 736–739. 421 indexed citations
13.
DeAngelis, Margaret M., et al.. (1995). Solid-phase reversible immobilization for the isolation of PCR products. Nucleic Acids Research. 23(22). 4742–4743. 262 indexed citations
14.
Hawkins, Trevor, et al.. (1994). DNA purification and isolation using a solid-phase. Nucleic Acids Research. 22(21). 4543–4544. 181 indexed citations
15.
Hawkins, Trevor, et al.. (1993). The Caenorhabditis elegans genome sequencing project: first steps in automation. Nature. 362(6420). 569–570. 7 indexed citations
16.
Sulston, John, Z. Du, Karen Thomas, et al.. (1992). The C. elegans genome sequencing project: a beginning. Nature. 356(6364). 37–41. 396 indexed citations
17.
Waterston, R, Chris Martin, Molly Craxton, et al.. (1992). A survey of expressed genes in Caenorhabditis elegans. Nature Genetics. 1(2). 114–123. 295 indexed citations
18.
Hawkins, Trevor, et al.. (1992). Fluorescence chemistries for automated primer‐directed DNA sequencing. Electrophoresis. 13(1). 552–559. 8 indexed citations
19.
Hawkins, Trevor. (1992). M13 single-strand purification using a biotinylated probe and streptavidin coated magnetic beads. DNA sequence. 3(2). 65–69. 9 indexed citations
20.
Hawkins, Trevor & John Sulston. (1991). The resolution of compressions in automated fluorescent sequencing. Nucleic Acids Research. 19(10). 2784–2784. 7 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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