Tom Moore

4.8k total citations · 1 hit paper
58 papers, 3.5k citations indexed

About

Tom Moore is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Tom Moore has authored 58 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 30 papers in Genetics and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Tom Moore's work include Genetic Syndromes and Imprinting (20 papers), Epigenetics and DNA Methylation (19 papers) and Prenatal Screening and Diagnostics (11 papers). Tom Moore is often cited by papers focused on Genetic Syndromes and Imprinting (20 papers), Epigenetics and DNA Methylation (19 papers) and Prenatal Screening and Diagnostics (11 papers). Tom Moore collaborates with scholars based in Ireland, United Kingdom and Germany. Tom Moore's co-authors include Wolf Reik, Wendy Dean, Robert Feil, Miguel Constância, Gabriela Dveksler, Claudine Junien, Lorna G. Moore, Tessa J. Roseboom, Anne Gabory and Lucy Bowden and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Environmental Science & Technology.

In The Last Decade

Tom Moore

57 papers receiving 3.4k citations

Hit Papers

Genomic imprinting in mammalian development: a parental t... 1991 2026 2002 2014 1991 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Moore Ireland 25 2.1k 2.0k 1.3k 461 309 58 3.5k
Reinald Fundele Germany 32 4.6k 2.2× 2.7k 1.3× 1.7k 1.3× 518 1.1× 731 2.4× 80 5.9k
Maris Laan Estonia 32 1.3k 0.6× 1.2k 0.6× 540 0.4× 439 1.0× 591 1.9× 108 3.3k
Timothy A. Hore New Zealand 26 3.3k 1.5× 1.3k 0.7× 738 0.6× 87 0.2× 205 0.7× 40 4.2k
Hugh D. Morgan Australia 13 2.7k 1.3× 1.2k 0.6× 841 0.6× 115 0.2× 342 1.1× 16 3.4k
Andrea S. Cupp United States 34 1.7k 0.8× 1.8k 0.9× 696 0.5× 79 0.2× 1.0k 3.4× 119 4.7k
Sarah Kimmins Canada 30 2.2k 1.0× 871 0.4× 552 0.4× 153 0.3× 790 2.6× 67 4.0k
Catherine M. Suter Australia 36 3.7k 1.7× 708 0.4× 778 0.6× 269 0.6× 185 0.6× 74 5.3k
Rebecca L. Wilson United States 28 1.3k 0.6× 1.5k 0.7× 425 0.3× 310 0.7× 191 0.6× 71 3.0k
Colum P. Walsh United Kingdom 31 3.9k 1.8× 1.6k 0.8× 913 0.7× 156 0.3× 360 1.2× 79 4.8k
Nabeel A. Affara United Kingdom 49 4.2k 2.0× 3.2k 1.6× 800 0.6× 131 0.3× 432 1.4× 167 7.1k

Countries citing papers authored by Tom Moore

Since Specialization
Citations

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

Fields of papers citing papers by Tom Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Moore. A scholar is included among the top collaborators of Tom Moore 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 Tom Moore. Tom Moore 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.
2.
Williams, John M., et al.. (2024). JRK binds satellite III DNA and is necessary for the heat shock response. Cell Biology International. 48(8). 1212–1222. 1 indexed citations
3.
Kammerer, Robert, Ángela Ballesteros, Daniel A. Bonsor, et al.. (2020). Equine pregnancy-specific glycoprotein CEACAM49 secreted by endometrial cup cells activates TGFB. Reproduction. 160(5). 685–694. 7 indexed citations
4.
Williams, John M., et al.. (2019). Opposite Expression Patterns of Spry3 and p75NTR in Cerebellar Vermis Suggest a Male-Specific Mechanism of Autism Pathogenesis. Frontiers in Psychiatry. 10. 416–416. 7 indexed citations
5.
Handler, Johannes, Wolfgang Zimmermann, Jordan E. Read, et al.. (2016). Convergent evolution of pregnancy-specific glycoproteins in human and horse. Reproduction. 152(3). 171–184. 17 indexed citations
6.
Williams, John M., Melanie Ball, Andrew Ward, & Tom Moore. (2014). Psg22 expression in mouse trophoblast giant cells is associated with gene inversion and co-expression of antisense long non-coding RNAs. Reproduction. 149(1). 125–137. 4 indexed citations
7.
Gabory, Anne, Tessa J. Roseboom, Tom Moore, Lorna G. Moore, & Claudine Junien. (2013). Placental contribution to the origins of sexual dimorphism in health and diseases: sex chromosomes and epigenetics. Biology of Sex Differences. 4(1). 5–5. 263 indexed citations
8.
Moore, Tom. (2011). Review: Parent-offspring conflict and the control of placental function. Placenta. 33. S33–S36. 31 indexed citations
9.
Moore, Tom & Walter Mills. (2008). Evolutionary Theories of Imprinting— Enough Already!. Advances in experimental medicine and biology. 626. 116–122. 21 indexed citations
10.
O’Donovan, Ciara M., et al.. (2006). Development of a respirometric biochip for embryo assessment. Lab on a Chip. 6(11). 1438–1438. 19 indexed citations
11.
McLellan, Andrew, Wolfgang Zimmermann, & Tom Moore. (2005). Conservation of pregnancy-specific glycoprotein (PSG) N domains following independent expansions of the gene families in rodents and primates. BMC Evolutionary Biology. 5(1). 39–39. 30 indexed citations
12.
Kammerer, Robert, et al.. (2005). Identification of a novel group of evolutionarily conserved members within the rapidly diverging murine Cea family. Genomics. 86(5). 566–580. 71 indexed citations
13.
Fahey, Marie E., Walter Mills, Desmond G. Higgins, & Tom Moore. (2004). Maternally and paternally silenced imprinted genes differ in their intron content. Comparative and Functional Genomics. 5(8). 572–583. 2 indexed citations
15.
Moore, Tom. (2002). Southern Analysis Using Methyl-Sensitive Restriction Enzymes. Humana Press eBooks. 181. 193–203. 4 indexed citations
16.
Moore, Tom, Dorothée Ville, Djamel Grid, et al.. (2001). Polymorphism analysis of JRK/JH8, the human homologue of mouse jerky, and description of a rare mutation in a case of CAE evolving to JME. Epilepsy Research. 46(2). 157–167. 30 indexed citations
17.
Paulsen, Martina, Lucy Bowden, Angela J. Villar, et al.. (1998). Syntenic Organization of the Mouse Distal Chromosome 7 Imprinting Cluster and the Beckwith-Wiedemann Syndrome Region in Chromosome 11p15.5. Human Molecular Genetics. 7(7). 1149–1159. 92 indexed citations
18.
Moore, Tom, et al.. (1997). From birds and bees to babies? Can theories on genetic conflict aid the clinician?. Human Reproduction. 12(10). 2091–2092. 2 indexed citations
19.
Moore, Tom. (1996). Genetic conflict in early development: parental imprinting in normal and abnormal growth. Reviews of Reproduction. 1(2). 73–77. 70 indexed citations
20.
Moore, Tom. (1991). Genomic imprinting in mammalian development: a parental tug-of-war. Trends in Genetics. 7(2). 45–49. 882 indexed citations breakdown →

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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