John Huntriss

2.1k total citations
36 papers, 1.6k citations indexed

About

John Huntriss is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, John Huntriss has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Genetics and 16 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in John Huntriss's work include Prenatal Screening and Diagnostics (15 papers), Epigenetics and DNA Methylation (14 papers) and Genetic Syndromes and Imprinting (13 papers). John Huntriss is often cited by papers focused on Prenatal Screening and Diagnostics (15 papers), Epigenetics and DNA Methylation (14 papers) and Genetic Syndromes and Imprinting (13 papers). John Huntriss collaborates with scholars based in United Kingdom, Nigeria and United States. John Huntriss's co-authors include Helen M. Picton, David Miller, Stephen A. Krawetz, G. Charles Ostermeier, Michael P. Diamond, Sarah E. Harris, Roger G. Gosden, Yun Yun Gong, Michael N. Routledge and James Adjaye and has published in prestigious journals such as Nature, Nucleic Acids Research and Biochemical and Biophysical Research Communications.

In The Last Decade

John Huntriss

35 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Huntriss United Kingdom 19 931 710 560 457 429 36 1.6k
Ying‐Chun Ouyang China 29 1.6k 1.7× 1.3k 1.8× 377 0.7× 305 0.7× 509 1.2× 105 2.5k
Véronique Duranthon France 25 1.2k 1.3× 738 1.0× 620 1.1× 434 0.9× 209 0.5× 75 2.1k
Geert Hamer Netherlands 26 1.2k 1.3× 804 1.1× 407 0.7× 221 0.5× 929 2.2× 56 2.1k
Zhiming Han China 24 1.3k 1.4× 886 1.2× 430 0.8× 306 0.7× 242 0.6× 68 1.7k
Benjamin R. Emery United States 24 1.2k 1.3× 1.5k 2.0× 645 1.2× 402 0.9× 1.6k 3.7× 59 2.8k
Maria M. Viveiros United States 21 1.6k 1.7× 1.5k 2.1× 506 0.9× 205 0.4× 589 1.4× 35 2.5k
Helena T. A. van Tol Netherlands 26 842 0.9× 1.1k 1.6× 472 0.8× 139 0.3× 513 1.2× 48 1.9k
Yao Xu China 16 672 0.7× 656 0.9× 281 0.5× 275 0.6× 318 0.7× 30 1.2k
Janet E. Holt Australia 19 710 0.8× 540 0.8× 166 0.3× 135 0.3× 378 0.9× 34 1.2k
Teruko Taketo Canada 22 1.2k 1.2× 635 0.9× 918 1.6× 281 0.6× 515 1.2× 62 1.7k

Countries citing papers authored by John Huntriss

Since Specialization
Citations

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

Fields of papers citing papers by John Huntriss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Huntriss

This figure shows the co-authorship network connecting the top 25 collaborators of John Huntriss. A scholar is included among the top collaborators of John Huntriss 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 John Huntriss. John Huntriss 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.
Kokkali, Georgia, David Iles, John Huntriss, et al.. (2021). The effects of aging on molecular modulators of human embryo implantation. iScience. 24(7). 102751–102751. 8 indexed citations
2.
Iles, David, Georgia Kokkali, T. Vaxevanoglou, et al.. (2021). The impact of maternal age on gene expression during the GV to MII transition in euploid human oocytes. Human Reproduction. 37(1). 80–92. 40 indexed citations
3.
Kokkali, Georgia, David Iles, John Huntriss, et al.. (2019). Can trophectoderm RNA analysis predict human blastocyst competency?. Systems Biology in Reproductive Medicine. 65(4). 312–325. 15 indexed citations
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6.
Huntriss, John, et al.. (2018). Epigenetics and Reproductive Medicine. BJOG An International Journal of Obstetrics & Gynaecology. 125(13). e43–e54. 21 indexed citations
7.
Huntriss, John, Karen E. Hemmings, Praveen Baskaran, et al.. (2015). Deoxyribonucleic acid methylation profiling of single human blastocysts by methylated CpG-island amplification coupled with CpG-island microarray. Fertility and Sterility. 103(6). 1566–1571.e4.
8.
Harris, Sarah E., et al.. (2013). The activity and copy number of mitochondrial DNA in ovine oocytes throughout oogenesis in vivo and during oocyte maturation in vitro. Molecular Human Reproduction. 19(7). 444–450. 94 indexed citations
9.
Parry, David, Clare V. Logan, Bruce E. Hayward, et al.. (2011). Mutations Causing Familial Biparental Hydatidiform Mole Implicate C6orf221 as a Possible Regulator of Genomic Imprinting in the Human Oocyte. The American Journal of Human Genetics. 89(3). 451–458. 174 indexed citations
10.
Huntriss, John, Kathryn Woodfine, Joanna E. Huddleston, et al.. (2011). Quantitative analysis of DNA methylation of imprinted genes in single human blastocysts by pyrosequencing. Fertility and Sterility. 95(8). 2564–2567.e8. 12 indexed citations
11.
Huntriss, John & Helen M. Picton. (2008). Stability of Genomic Imprinting in Embryonic Stem Cells: Lessons from Assisted Reproductive Technology. Current Stem Cell Research & Therapy. 3(2). 107–116. 5 indexed citations
12.
Huntriss, John, et al.. (2005). Expression of Polycomb-group genes in human ovarian follicles, oocytes and preimplantation embryos. Reproduction. 130(6). 883–888. 11 indexed citations
13.
Ostermeier, G. Charles, David Miller, John Huntriss, Michael P. Diamond, & Stephen A. Krawetz. (2004). Delivering spermatozoan RNA to the oocyte. Nature. 429(6988). 154–154. 453 indexed citations
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Huntriss, John. (2002). Isolation, characterization and expression of the human Factor In the Germline alpha (FIGLA) gene in ovarian follicles and oocytes. Molecular Human Reproduction. 8(12). 1087–1095. 64 indexed citations
16.
Huntriss, John, Robert Daniels, Virginia N. Bolton, & Marilyn Monk. (1998). Imprinted Expression of SNRPN in Human Preimplantation Embryos. The American Journal of Human Genetics. 63(4). 1009–1014. 33 indexed citations
17.
Huntriss, John, Roberto Lorenzi, A Purewal, & Marilyn Monk. (1997). A Methylation-Dependent DNA-Binding Activity Recognising the Methylated Promoter Region of the MouseXistGene. Biochemical and Biophysical Research Communications. 235(3). 730–738. 18 indexed citations
18.
Huntriss, John, Breda M. Twomey, David Isenberg, & David S. Latchman. (1994). Enhanced Transcription of the Gene Encoding the Smn Autoantigen in Patients with Systemic Lupus Erythematosus Does not Result in Enhanced Levels of the SMN Protein. Autoimmunity. 19(2). 81–87. 2 indexed citations
19.
Huntriss, John, et al.. (1994). Mice lackingSnrpn expression show normal regulation of neuronal alternative splicing events. Molecular Biology Reports. 20(1). 19–25. 6 indexed citations
20.
Gerrelli, Dianne, John Huntriss, & D.S. Latchman. (1994). Antagonistic Effects of Retinoic Acid and Thyroid Hormone on the Expression of the Tissue-specific Splicing Protein SmN in a Clonal Cell Line Derived from Rat Heart. Journal of Molecular and Cellular Cardiology. 26(6). 713–719. 22 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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