C.V. Beechey

4.3k citations
90 papers · 3.6k indexed · h-index 30

C.V. Beechey

90 papers receiving 3.4k citations

Peers

C.V. Beechey
Comparison fields: 5 of 107
  • Genetics 2.6k
  • Pediatrics, Perinatology and Child Health 1.0k
  • Molecular Biology 2.7k
  • Reproductive Medicine 180
  • Cancer Research 283
Replace Hong Lei with:
Hong Lei United States
Sébastien A. Smallwood United Kingdom
Takashi Kohda Japan
J. Richard Chaillet United States
Andràs Páldi France
Nathalie Beaujean France
Michael Brandeis Israel
Sylvia Erhardt Germany
Julia Arand Germany
Rebecca J. Oakey United Kingdom
C.V. Beechey relative to Hong Lei United States Hong Lei's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by C.V. Beechey

Since Specialization
Citations

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

Fields of papers citing papers by C.V. Beechey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.V. Beechey. 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 C.V. Beechey. The network helps show where C.V. Beechey may publish in the future.

Co-authorship network

The 25 scholars most cited alongside C.V. Beechey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C.V. Beechey Line = papers co-authored together C.V. Beechey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201620
2 201221
3 201179
4
Overexpression of the imprinted gene Neuronatin represses normal pituitary differentiation
20041
5 200245
6 200030
7
Evidence that testicular differentiation in the marsupial, Monodelphis domestica, begins, but does not proceed, in utero
19931
8 1992150
9 1991253
10 198819
11 198321
12 197916
13 197822
14 197631
15 197453
16 19735
17 19729
18 197128
19 19716
20 197013

About C.V. Beechey

C.V. Beechey is a scholar working on Genetics, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Cancer Research and Molecular Biology, having authored 90 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (38 papers), Epigenetics and DNA Methylation (32 papers), Prenatal Screening and Diagnostics (20 papers), Genomic variations and chromosomal abnormalities (15 papers), Sperm and Testicular Function (13 papers), Carcinogens and Genotoxicity Assessment (13 papers), Animal Genetics and Reproduction (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (8 papers). The work is most often cited by research in Genetics (2.6k citations), Pediatrics, Perinatology and Child Health (1.0k citations), Molecular Biology (2.7k citations), Reproductive Medicine (180 citations) and Cancer Research (283 citations). C.V. Beechey has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include A.G. Searle, B.M. Cattanach, Christine M. Williamson, Jo Peters, E.P. Evans, Gavin Kelsey, Simon Ball, M. Azim Surani, Gregor Eichele and Dawna Armstrong. Their work appears in journals such as Cytogenetic and Genome Research, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, Genetics Research, Mammalian Genome and Genomics.

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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