Jon Stene

2.0k citations
45 papers · 1.3k indexed · h-index 21

Impact in

    • Prenatal Screening and Diagnostics
    • Assisted Reproductive Technology and Twin Pregnancy
  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities
    • Genetic Associations and Epidemiology
    • Genetic Syndromes and Imprinting
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

Jon Stene

44 papers receiving 1.1k citations

Peers

Jon Stene
Comparison fields: 5 of 96
  • Pediatrics, Perinatology and Child Health 611
  • Genetics 666
  • Developmental Biology 34
  • Plant Science 250
  • Psychiatry and Mental health 95
Replace Elizabeth McPherson with:
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Jon Stene relative to Elizabeth McPherson United States Elizabeth McPherson's profile →
Citations per field
00.5×4.8×
Elizabeth McPherson · 1×
Citations per year

Countries citing papers authored by Jon Stene

Since Specialization
Citations

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

Fields of papers citing papers by Jon Stene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199253
2 19895
3 19898
4 19895
5 198735
6 19875
7 198619
8 198425
9 1983167
10 197820
11 197716
12 197725
13 197793
14 19757
15 197219
16 19720
17 197110
18 197021
19 197039
20 197016

About Jon Stene

Jon Stene is a scholar working on Pediatrics, Perinatology and Child Health, Genetics, Statistics and Probability, Developmental Biology and Gender Studies, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (11 papers), Genomic variations and chromosomal abnormalities (11 papers), Chromosomal and Genetic Variations (3 papers), Demographic Trends and Gender Preferences (3 papers), Statistical Methods and Bayesian Inference (2 papers), Epigenetics and DNA Methylation (2 papers), Metabolism and Genetic Disorders (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (611 citations), Genetics (666 citations), Developmental Biology (34 citations), Plant Science (250 citations) and Psychiatry and Mental health (95 citations). Jon Stene has collaborated with scholars based in Denmark, Germany and Taiwan. Frequent co-authors include Eeva Stene, S. Stengel‐Rutkowski, Newton E. Morton, Margareta Mikkelsen, Jan Murken, Margaret A. Lennox‐Buchthal, E Frantzen, Erik Petersen, Alina T. Midro and A. Rodewald. Their work appears in journals such as Annals of Human Genetics, Human Genetics, Biometrics, Human Heredity and Clinical Genetics.

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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