Dave T. Gerrard

2.0k total citations
18 papers, 1.1k citations indexed

About

Dave T. Gerrard is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dave T. Gerrard has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dave T. Gerrard's work include Animal Behavior and Reproduction (4 papers), Genomics and Phylogenetic Studies (3 papers) and Pancreatic function and diabetes (3 papers). Dave T. Gerrard is often cited by papers focused on Animal Behavior and Reproduction (4 papers), Genomics and Phylogenetic Studies (3 papers) and Pancreatic function and diabetes (3 papers). Dave T. Gerrard collaborates with scholars based in United Kingdom, Germany and United States. Dave T. Gerrard's co-authors include Neil A. Hanley, Andrew Berry, Rachel Jennings, Casey Bergman, James Strutt, Dmitry A. Filatov, Alex T. Kalinka, Pavel Tomančák, David L. Corcoran and Stephan Preibisch and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Dave T. Gerrard

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dave T. Gerrard United Kingdom	14	585	396	248	128	102	18	1.1k
Jeffrey Chu Canada	14	560 1.0×	220 0.6×	271 1.1×	199 1.6×	53 0.5×	32	1.1k
Toshinori Endo Japan	16	997 1.7×	257 0.6×	43 0.2×	200 1.6×	83 0.8×	42	1.6k
Renate Faast Australia	16	1.0k 1.7×	237 0.6×	123 0.5×	166 1.3×	153 1.5×	25	1.3k
Shigenori Murata Japan	15	591 1.0×	291 0.7×	56 0.2×	248 1.9×	48 0.5×	27	969
Jarret Glasscock United States	10	627 1.1×	388 1.0×	49 0.2×	212 1.7×	73 0.7×	18	1.1k
Pär G. Engström Sweden	18	1.9k 3.3×	412 1.0×	65 0.3×	303 2.4×	21 0.2×	25	2.4k
Yongsheng Bai United States	15	649 1.1×	212 0.5×	149 0.6×	182 1.4×	21 0.2×	57	1.1k
Xianhua Yi United States	13	1.3k 2.2×	331 0.8×	33 0.1×	161 1.3×	164 1.6×	13	1.7k
Catherine M. Hearne United Kingdom	11	670 1.1×	1.2k 3.0×	433 1.7×	163 1.3×	33 0.3×	16	1.7k
Linda Sharp United Kingdom	8	450 0.8×	109 0.3×	37 0.1×	105 0.8×	16 0.2×	10	954

Countries citing papers authored by Dave T. Gerrard

Since Specialization

Citations

This map shows the geographic impact of Dave T. Gerrard'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 Dave T. Gerrard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave T. Gerrard more than expected).

Fields of papers citing papers by Dave T. Gerrard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dave T. Gerrard. 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 Dave T. Gerrard. The network helps show where Dave T. Gerrard may publish in the future.

Co-authorship network of co-authors of Dave T. Gerrard

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

All Works

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18 of 18 papers shown

Michaud, Vincent, Eulalie Lasseaux, David Green, et al.. (2022). The contribution of common regulatory and protein-coding TYR variants to the genetic architecture of albinism. Nature Communications. 13(1). 3939–3939. 24 indexed citations

Gerrard, Dave T., Andrew Berry, Rachel Jennings, et al.. (2020). Dynamic changes in the epigenomic landscape regulate human organogenesis and link to developmental disorders. Nature Communications. 11(1). 3920–3920. 15 indexed citations

Jennings, Rachel, Andrew Berry, Dave T. Gerrard, et al.. (2017). Laser Capture and Deep Sequencing Reveals the Transcriptomic Programmes Regulating the Onset of Pancreas and Liver Differentiation in Human Embryos. Stem Cell Reports. 9(5). 1387–1394. 33 indexed citations

Nowicki-Osuch, Karol, Yaoyong Li, Mairi Challinor, et al.. (2017). EINCR1 is an EGF inducible lincRNA overexpressed in lung adenocarcinomas. PLoS ONE. 12(7). e0181902–e0181902.

Gerrard, Dave T., Andrew Berry, Rachel Jennings, et al.. (2016). An integrative transcriptomic atlas of organogenesis in human embryos. eLife. 5. 39 indexed citations

Jennings, Rachel, Andrew Berry, James Strutt, Dave T. Gerrard, & Neil A. Hanley. (2015). Human pancreas development. Development. 142(18). 3126–3137. 215 indexed citations

Gerrard, Dave T., Claudia Fricke, Dominic A. Edward, Dylan R. Edwards, & Tracey Chapman. (2013). Genome-Wide Responses of Female Fruit Flies Subjected to Divergent Mating Regimes. PLoS ONE. 8(6). e68136–e68136. 9 indexed citations

Rowe, Cliff, Dave T. Gerrard, Roz Jenkins, et al.. (2013). Proteome-Wide Analyses of Human Hepatocytes During Differentiation and Dedifferentiation. Hepatology. 58(2). 799–809. 102 indexed citations

Gerrard, Dave T., et al.. (2012). An Excess of Gene Expression Divergence on the X Chromosome in Drosophila Embryos: Implications for the Faster-X Hypothesis. PLoS Genetics. 8(12). e1003200–e1003200. 29 indexed citations

10.

Gallo, Steven M., et al.. (2010). REDfly v3.0: toward a comprehensive database of transcriptional regulatory elements in Drosophila. Nucleic Acids Research. 39(Database). D118–D123. 141 indexed citations

11.

Edward, Dominic A., Claudia Fricke, Dave T. Gerrard, & Tracey Chapman. (2010). QUANTIFYING THE LIFE-HISTORY RESPONSE TO INCREASED MALE EXPOSURE IN FEMALE DROSOPHILA MELANOGASTER. Evolution. 65(2). 564–573. 36 indexed citations

12.

Kalinka, Alex T., Dave T. Gerrard, Stephan Preibisch, et al.. (2010). Gene expression divergence recapitulates the developmental hourglass model. Nature. 468(7325). 811–814. 276 indexed citations

13.

Pils, Stefan, Dave T. Gerrard, Axel Meyer, & Christof R. Hauck. (2008). CEACAM3: An innate immune receptor directed against human-restricted bacterial pathogens. International Journal of Medical Microbiology. 298(7-8). 553–560. 33 indexed citations

14.

Gerrard, Dave T. & Axel Meyer. (2007). Positive Selection and Gene Conversion in SPP120, a Fertilization-Related Gene, during the East African Cichlid Fish Radiation. Molecular Biology and Evolution. 24(10). 2286–2297. 22 indexed citations

15.

Gerrard, Dave T. & Dmitry A. Filatov. (2005). Positive and Negative Selection on Mammalian Y Chromosomes. Molecular Biology and Evolution. 22(6). 1423–1432. 35 indexed citations

16.

Gerrard, Dave T. & Erich Bornberg‐Bauer. (2003). doMosaic - Analysis of the mosaic-like domain arrangements in proteins.. Research Explorer (The University of Manchester). 27(1). 15–20. 2 indexed citations

17.

Filatov, Dmitry A. & Dave T. Gerrard. (2003). High mutation rates in human and ape pseudoautosomal genes. Gene. 317(1-2). 67–77. 50 indexed citations

18.

Wastling, Jonathan M., et al.. (1990). Action of cyclosporin A on the tapewormHymenolepis diminutain mice. Parasitology. 101(3). 465–472. 13 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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