Val Davison

690 citations
10 papers · 368 · h-index 7

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders

Papers in

    • Renal and related cancers 2
    • Congenital heart defects research 2
    • Epigenetics and DNA Methylation 2
    • Genomic variations and chromosomal abnormalities 4

Val Davison

10 papers receiving 350 citations

Peers

Val Davison
Comparison fields: 5 of 56
  • Genetics 98
  • Genetics 120
  • Cancer Research 53
  • Molecular Biology 199
  • Neurology 33
Replace Gordana Raca with:
Gordana Raca United States
Devin McQuaid United States
Maxine J. Sutcliffe United States
Heidi A. Heilstedt United States
Fernando Santos‐Simarro Spain
Sanja Rogić Canada
Kathrin Schramm Germany
Erica H. Gerkes Netherlands
Thomas Kergrohen France
R.K. Track
Val Davison relative to Gordana Raca United States Gordana Raca's profile →
Citations per field
00.5×1.5×
Gordana Raca · 1×
Citations per year

Countries citing papers authored by Val Davison

Since Specialization
Citations

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

Fields of papers citing papers by Val Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Val Davison, 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 Val Davison Line = papers co-authored together Val Davison links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2002105
2 200976
3 201159
4 201056
5 200727
6 200726
7 200711
8 19964
9 20063
10 20011

About Val Davison

Val Davison is a scholar working on Molecular Biology, Genetics, Neurology, Pediatrics, Perinatology and Child Health and Plant Science, having authored 10 papers that have together received 368 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Renal and related cancers (2 papers), Congenital heart defects research (2 papers), Epigenetics and DNA Methylation (2 papers), Chromosomal and Genetic Variations (2 papers), Neuroblastoma Research and Treatments (2 papers), Williams Syndrome Research (1 paper) and Ethics and Legal Issues in Pediatric Healthcare (1 paper). The work is most often cited by research in Genetics (98 citations), Genetics (120 citations), Cancer Research (53 citations), Molecular Biology (199 citations) and Neurology (33 citations). Val Davison has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Sara Dyer, Dominic McMullan, Richard G. Grundy, David W. Ellison, Paul Davies, Pramila Ramani, Chirag Patel, Lisa Cooper‐Charles, Jenny Morton and Farida Latif. Their work appears in journals such as European Journal of Cancer, European Journal of Human Genetics, American Journal Of Pathology, Genome biology and Prenatal Diagnosis.

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.

Explore authors with similar magnitude of impact