Dionne Gray

760 total citations
9 papers, 535 citations indexed

About

Dionne Gray is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Dionne Gray has authored 9 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Dionne Gray's work include Genetic Syndromes and Imprinting (5 papers), Epigenetics and DNA Methylation (5 papers) and Pluripotent Stem Cells Research (3 papers). Dionne Gray is often cited by papers focused on Genetic Syndromes and Imprinting (5 papers), Epigenetics and DNA Methylation (5 papers) and Pluripotent Stem Cells Research (3 papers). Dionne Gray collaborates with scholars based in United Kingdom, United States and Australia. Dionne Gray's co-authors include Anne C. Ferguson‐Smith, Magdalena Zernicka‐Goetz, Berenika Płusa, David M. Glover, Karolina Piotrowska-Nitsche, Anna‐Katerina Hadjantonakis, Agnieszka Jędrusik, Virginia E. Papaioannou, Edward J. Ryder and Ian Dunham and has published in prestigious journals such as Nature, Nature Communications and Current Biology.

In The Last Decade

Dionne Gray

9 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dionne Gray United Kingdom	7	433	264	112	101	57	9	535
Heng-Yu Fan China	8	442 1.0×	127 0.5×	33 0.3×	290 2.9×	50 0.9×	12	680
Shoukhrat Mitalipov United States	10	501 1.2×	113 0.4×	95 0.8×	260 2.6×	11 0.2×	16	697
Jonathan J. Wilde United States	7	305 0.7×	114 0.4×	54 0.5×	34 0.3×	24 0.4×	7	429
Laila Noli United Kingdom	9	442 1.0×	69 0.3×	84 0.8×	191 1.9×	80 1.4×	12	617
Sarah K. Munyoki United States	7	305 0.7×	107 0.4×	22 0.2×	137 1.4×	34 0.6×	12	480
Heidi Cook‐Andersen United States	14	470 1.1×	70 0.3×	18 0.2×	160 1.6×	94 1.6×	22	665
Claude‐Lise Richer Canada	15	458 1.1×	397 1.5×	95 0.8×	56 0.6×	81 1.4×	35	759
Ligia Mateiu Belgium	12	285 0.7×	157 0.6×	98 0.9×	24 0.2×	46 0.8×	29	480
Sanae Oka Japan	11	365 0.8×	323 1.2×	17 0.2×	63 0.6×	26 0.5×	16	498
Jianhua Chu United States	7	403 0.9×	84 0.3×	15 0.1×	26 0.3×	23 0.4×	10	477

Countries citing papers authored by Dionne Gray

Since Specialization

Citations

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

Fields of papers citing papers by Dionne Gray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dionne Gray

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

All Works

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9 of 9 papers shown

Takahashi, Nozomi, Dionne Gray, Ruslan Strogantsev, et al.. (2015). ZFP57and the Targeted Maintenance of Postfertilization Genomic Imprints. Cold Spring Harbor Symposia on Quantitative Biology. 80. 177–187. 29 indexed citations

Ferrón, Sacri R., Elizabeth J. Radford, Ana Domingo-Muelas, et al.. (2015). Differential genomic imprinting regulates paracrine and autocrine roles of IGF2 in mouse adult neurogenesis. Nature Communications. 6(1). 8265–8265. 67 indexed citations

Rocha, Simão Teixeira da, Marika Charalambous, Shau‐Ping Lin, et al.. (2009). Gene Dosage Effects of the Imprinted Delta-Like Homologue 1 (Dlk1/Pref1) in Development: Implications for the Evolution of Imprinting. PLoS Genetics. 5(2). e1000392–e1000392. 88 indexed citations

Edwards, Carol A., Andrew J. Mungall, Lucy Matthews, et al.. (2008). The evolution of an imprinted domain in mammals. Genetics Research. 90(3). 3 indexed citations

Edwards, Carol A., Andrew J. Mungall, Lucy Matthews, et al.. (2008). The Evolution of the DLK1-DIO3 Imprinted Domain in Mammals. PLoS Biology. 6(6). e135–e135. 141 indexed citations

Perea-Gómez, Aitana, Sigolène M. Meilhac, Karolina Piotrowska-Nitsche, et al.. (2007). Regionalisation of the mouse visceral endoderm as the blastocyst transforms into the egg cylinder. BMC Developmental Biology. 7(1). 96–96. 24 indexed citations

Płusa, Berenika, Anna‐Katerina Hadjantonakis, Dionne Gray, et al.. (2006). Does prepatterning occur in the mouse egg? (Reply). Nature. 442(7099). E4–E4. 3 indexed citations

Płusa, Berenika, Anna‐Katerina Hadjantonakis, Dionne Gray, et al.. (2005). The first cleavage of the mouse zygote predicts the blastocyst axis. Nature. 434(7031). 391–395. 100 indexed citations

Gray, Dionne, Berenika Płusa, Karolina Piotrowska, et al.. (2004). First Cleavage of the Mouse Embryo Responds to Change in Egg Shape at Fertilization. Current Biology. 14(5). 397–405. 80 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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