Jon Stene

2k citations
49 papers · 1.5k · h-index 22

Impact in

    • Prenatal Screening and Diagnostics
  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities
    • Genetic Associations and Epidemiology
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

Jon Stene

46 papers receiving 1.2k citations

Peers

Jon Stene
Comparison fields: 5 of 82
  • Pediatrics, Perinatology and Child Health 343
  • Genetics 723
  • Public Health, Environmental and Occupational Health 292
  • Reproductive Medicine 86
  • Psychiatry and Mental health 128
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Citations per field
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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-authors

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

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983191
2 1977107
3 197092
4 198485
5 197679
6 199274
7 198172
8 197770
9 198460
10 197959
11 197058
12 198144
13 197738
14 198737
15 198636
16 197733
17 197029
18 197729
19 198228
20 198426

About Jon Stene

Jon Stene is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Statistics and Probability and Mathematical Physics, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (16 papers), Down syndrome and intellectual disability research (14 papers), Genomic variations and chromosomal abnormalities (11 papers), Prenatal Screening and Diagnostics (7 papers), Probability and Statistical Research (4 papers), Statistical Distribution Estimation and Applications (3 papers), Genomics and Rare Diseases (3 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (343 citations), Genetics (723 citations), Public Health, Environmental and Occupational Health (292 citations), Reproductive Medicine (86 citations) and Psychiatry and Mental health (128 citations). Jon Stene has collaborated with scholars based in Denmark, Germany and Norway. Frequent co-authors include Eeva Stene, Sabine Stengel‐Rutkowski, Newton E. Morton, Margareta Mikkelsen, Jan D. Murken, Alina Teresa Midro, Margaret A. Lennox‐Buchthal, Esther Frantzen, A. Rodewald and Helga Waksvik. Their work appears in journals such as Annals of Human Genetics, Biometrics, Human Genetics, Clinical Genetics and Human Heredity.

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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