Jeremy C. Gray

444 total citations
10 papers, 300 citations indexed

About

Jeremy C. Gray is a scholar working on Genetics, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Jeremy C. Gray has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Nature and Landscape Conservation. Recurrent topics in Jeremy C. Gray's work include Evolution and Genetic Dynamics (4 papers), CRISPR and Genetic Engineering (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Jeremy C. Gray is often cited by papers focused on Evolution and Genetic Dynamics (4 papers), CRISPR and Genetic Engineering (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Jeremy C. Gray collaborates with scholars based in Canada, New Zealand and United Kingdom. Jeremy C. Gray's co-authors include Asher D. Cutter, Matthew R. Goddard, Gary Bilotta, Harriet G. Orr, Niall G. Burnside, Russell T. M. Poulter, Timothy J. D. Goodwin, Margaret I. Butler, Christian Braendle and Anne Vielle and has published in prestigious journals such as PLoS ONE, Evolution and Ecology Letters.

In The Last Decade

Jeremy C. Gray

9 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremy C. Gray Canada 8 148 81 69 58 57 10 300
Patricia Sourrouille France 11 125 0.8× 50 0.6× 145 2.1× 40 0.7× 79 1.4× 20 284
Takahiro Maruki United States 9 261 1.8× 102 1.3× 64 0.9× 31 0.5× 41 0.7× 12 338
C. D. Lowe United Kingdom 8 64 0.4× 97 1.2× 129 1.9× 30 0.5× 33 0.6× 9 321
Wei-Chin Ho United States 8 126 0.9× 116 1.4× 54 0.8× 15 0.3× 57 1.0× 9 253
John Brittnacher United States 11 159 1.1× 85 1.0× 59 0.9× 73 1.3× 115 2.0× 15 332
Kristin M. Lee United States 7 225 1.5× 104 1.3× 72 1.0× 51 0.9× 59 1.0× 9 396
Håkon Holand Norway 11 120 0.8× 21 0.3× 135 2.0× 17 0.3× 111 1.9× 16 269
Cassandra N. Trier Norway 9 356 2.4× 145 1.8× 144 2.1× 41 0.7× 130 2.3× 11 477
Tamara P. Catalán Chile 9 72 0.5× 24 0.3× 143 2.1× 16 0.3× 70 1.2× 10 294
Nicole R. Hales United States 7 130 0.9× 68 0.8× 51 0.7× 13 0.2× 37 0.6× 8 227

Countries citing papers authored by Jeremy C. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy C. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy C. Gray. 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 Jeremy C. Gray. The network helps show where Jeremy C. Gray may publish in the future.

Co-authorship network of co-authors of Jeremy C. Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy C. Gray. A scholar is included among the top collaborators of Jeremy C. Gray 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 Jeremy C. Gray. Jeremy C. Gray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Allender, Eric, et al.. (2024). Robustness for Space-Bounded Statistical Zero Knowledge. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 17(1). 1–25.
2.
Bilotta, Gary, et al.. (2017). The effects of run-of-river hydroelectric power schemes on invertebrate community composition in temperate streams and rivers. PLoS ONE. 12(2). e0171634–e0171634. 17 indexed citations
3.
Vielle, Anne, et al.. (2016). Convergent evolution of sperm gigantism and the developmental origins of sperm size variability in Caenorhabditis nematodes. Evolution. 70(11). 2485–2503. 26 indexed citations
4.
Bilotta, Gary, Niall G. Burnside, Jeremy C. Gray, & Harriet G. Orr. (2016). The Effects of Run-of-River Hydroelectric Power Schemes on Fish Community Composition in Temperate Streams and Rivers. PLoS ONE. 11(5). e0154271–e0154271. 43 indexed citations
5.
Jovelin, Emmanuel, Aldis Krizus, Jeremy C. Gray, et al.. (2016). Comparative genomic analysis of upstream miRNA regulatory motifs in Caenorhabditis. RNA. 22(7). 968–978. 3 indexed citations
6.
Cutter, Asher D. & Jeremy C. Gray. (2016). Ephemeral ecological speciation and the latitudinal biodiversity gradient. Evolution. 70(10). 2171–2185. 52 indexed citations
7.
Gray, Jeremy C. & Asher D. Cutter. (2014). MainstreamingCaenorhabditis elegansin experimental evolution. Proceedings of the Royal Society B Biological Sciences. 281(1778). 20133055–20133055. 47 indexed citations
8.
Gray, Jeremy C. & Matthew R. Goddard. (2012). Sex enhances adaptation by unlinking beneficial from detrimental mutations in experimental yeast populations. BMC Evolutionary Biology. 12(1). 43–43. 47 indexed citations
9.
Gray, Jeremy C. & Matthew R. Goddard. (2012). Gene‐flow between niches facilitates local adaptation in sexual populations. Ecology Letters. 15(9). 955–962. 28 indexed citations
10.
Butler, Margaret I., Jeremy C. Gray, Timothy J. D. Goodwin, & Russell T. M. Poulter. (2006). The distribution and evolutionary history of the PRP8 intein. BMC Evolutionary Biology. 6(1). 42–42. 37 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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