Greg Elgar

16.5k total citations · 3 hit papers
111 papers, 4.4k citations indexed

About

Greg Elgar is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Greg Elgar has authored 111 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Molecular Biology, 33 papers in Genetics and 22 papers in Plant Science. Recurrent topics in Greg Elgar's work include Genomics and Chromatin Dynamics (34 papers), RNA and protein synthesis mechanisms (22 papers) and Chromosomal and Genetic Variations (22 papers). Greg Elgar is often cited by papers focused on Genomics and Chromatin Dynamics (34 papers), RNA and protein synthesis mechanisms (22 papers) and Chromosomal and Genetic Variations (22 papers). Greg Elgar collaborates with scholars based in United Kingdom, United States and Germany. Greg Elgar's co-authors include Tanya Vavouri, Sydney Brenner, Adam Woolfe, Debbie K. Goode, Byrappa Venkatesh, Samuel Aparício, Heather Callaway, Gayle K. McEwen, Yvonne J. K. Edwards and Melody S. Clark and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Greg Elgar

111 papers receiving 4.3k citations

Hit Papers

Highly Conserved Non-Coding Sequences Are Associated with... 1993 2026 2004 2015 2004 1993 2025 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Elgar United Kingdom 34 3.3k 1.3k 951 427 311 111 4.4k
Hugues Roest Crollius France 27 2.1k 0.6× 934 0.7× 732 0.8× 527 1.2× 197 0.6× 60 3.2k
Jordi García‐Fernàndez Spain 37 4.1k 1.2× 1.2k 0.9× 724 0.8× 257 0.6× 215 0.7× 101 5.4k
Satoru Kobayashi Japan 40 4.4k 1.3× 1.7k 1.3× 583 0.6× 464 1.1× 257 0.8× 142 6.1k
Yi‐Lin Yan United States 17 4.2k 1.3× 2.0k 1.5× 1.5k 1.6× 401 0.9× 371 1.2× 18 6.0k
John S. Taylor Canada 32 2.9k 0.9× 1.3k 1.0× 1.7k 1.8× 344 0.8× 174 0.6× 88 5.3k
Kazutoyo Osoegawa United States 29 2.1k 0.6× 1.7k 1.3× 931 1.0× 296 0.7× 187 0.6× 61 3.5k
Elwood Linney United States 41 2.6k 0.8× 1.3k 1.0× 412 0.4× 442 1.0× 181 0.6× 74 4.4k
Thomas R. Bürglin Sweden 37 3.8k 1.1× 816 0.6× 1.2k 1.3× 200 0.5× 326 1.0× 71 5.2k
Victor Guryev Netherlands 36 3.9k 1.2× 1.6k 1.2× 646 0.7× 425 1.0× 989 3.2× 124 5.9k
J L Weber United States 21 2.2k 0.7× 2.0k 1.5× 896 0.9× 224 0.5× 318 1.0× 31 4.7k

Countries citing papers authored by Greg Elgar

Since Specialization
Citations

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

Fields of papers citing papers by Greg Elgar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Elgar

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Elgar. A scholar is included among the top collaborators of Greg Elgar 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 Greg Elgar. Greg Elgar 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.
Valle-Inclán, Jose Espejo, Sonia Zumalave, Carolin M. Sauer, et al.. (2025). Ongoing chromothripsis underpins osteosarcoma genome complexity and clonal evolution. Cell. 188(2). 352–370.e22. 20 indexed citations breakdown →
2.
Burté, Florence, Sandrine Marquet, Biobele J. Brown, et al.. (2018). Low plasma haptoglobin is a risk factor for life-threatening childhood severe malarial anemia and not an exclusive consequence of hemolysis. Scientific Reports. 8(1). 17527–17527. 10 indexed citations
3.
Rosa, Ilaria Dalla, Takehiro Yasukawa, Robert S. Young, et al.. (2017). Aberrant ribonucleotide incorporation and multiple deletions in mitochondrial DNA of the murine MPV17 disease model. Nucleic Acids Research. 45(22). 12808–12815. 33 indexed citations
4.
Silva, Dilrini De, Richard A. Nichols, & Greg Elgar. (2014). Purifying Selection in Deeply Conserved Human Enhancers Is More Consistent than in Coding Sequences. PLoS ONE. 9(7). e103357–e103357. 8 indexed citations
6.
Elgar, Greg & Tanya Vavouri. (2008). Tuning in to the signals: noncoding sequence conservation in vertebrate genomes. Trends in Genetics. 24(7). 344–352. 128 indexed citations
7.
Elgar, Greg. (2006). Different words, same meaning: understanding the languages of the genome. Trends in Genetics. 22(12). 639–641. 1 indexed citations
8.
Vavouri, Tanya, Gayle K. McEwen, Adam Woolfe, Walter R. Gilks, & Greg Elgar. (2005). Defining a genomic radius for long-range enhancer action: duplicated conserved non-coding elements hold the key. Trends in Genetics. 22(1). 5–10. 62 indexed citations
9.
Edwards, Yvonne J. K., Klaudia Walter, Gayle K. McEwen, et al.. (2005). Characterisation of conserved non-coding sequences in vertebrate genomes using bioinformatics, statistics and functional studies. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 1(1). 46–58. 6 indexed citations
10.
Elgar, Greg. (2004). Plenty more fish in the sea: Comparative and functional genomics using teleost models. Briefings in Functional Genomics and Proteomics. 3(1). 15–25. 5 indexed citations
11.
Cardoso, João C. R., Deborah M. Power, Greg Elgar, & Melody S. Clark. (2003). Isolation and Characterisation of the Corticotropin Releasing Factor Receptor 1 (CRFR1) Gene in a Teleost Fish,Fugu rubripes. DNA sequence. 14(3). 215–218. 23 indexed citations
12.
Clark, Melody S., Pierre Pontarotti, André Gilles, Alison Kelly, & Greg Elgar. (2000). Identification and Characterization of a β Proteasome Subunit Cluster in the Japanese Pufferfish ( Fugu rubripes ). The Journal of Immunology. 165(8). 4446–4452. 26 indexed citations
13.
Elgar, Greg, Melody S. Clark, Stephen Meek, et al.. (1999). Generation and Analysis of 25 Mb of Genomic DNA from the Pufferfish Fugu rubripes by Sequence Scanning. Genome Research. 9(10). 960–971. 70 indexed citations
15.
Edwards, Yvonne J. K., Martin C. Frith, Greg Elgar, & Martin J. Bishop. (1998). Theatre: A Novel Tool For The Comparative Investigation and Display of Evolutionary Diversity of Functional and Structural Features in DNA Sequences.. 1 indexed citations
16.
Kehrer‐Sawatzki, Hildegard, et al.. (1998). Genomic characterization of the Neurofibromatosis Type 1 gene of Fugu rubripes. Gene. 222(1). 145–153. 12 indexed citations
17.
Timón, Marcos, Greg Elgar, Sonoko Habu, Katsuzumi Okumura, & Peter C. L. Beverley. (1997). Molecular cloning of major histocompatibility complex class I cDNAs from the pufferfish Fugu rubripes. Immunogenetics. 47(2). 170–173. 17 indexed citations
18.
Schofield, J. Paul, Greg Elgar, Rebecca Deadman, et al.. (1997). Regions of Human Chromosome 2 (2q32–q35) and Mouse Chromosome 1 Show Synteny with the Pufferfish Genome (Fugu rubripes). Genomics. 45(1). 158–167. 22 indexed citations
19.
Brenner, Sydney, Greg Elgar, Robert A. Sanford, et al.. (1993). Characterization of the pufferfish (Fugu) genome as a compact model vertebrate genome. Nature. 366(6452). 265–268. 479 indexed citations breakdown →
20.
Elgar, Greg, et al.. (1992). A novel method for isolation of large insert DNA from recombinant lambda DNA. Nucleic Acids Research. 20(17). 4667–4667. 2 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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