Jan Pedersen

862 citations
26 papers · 605 · h-index 16

Impact in

  • Pharmacy top 10%
    • BRCA gene mutations in cancer
    • Genomic variations and chromosomal abnormalities

Papers in

    • Genomic variations and chromosomal abnormalities 4
    • Craniofacial Disorders and Treatments 2

Jan Pedersen

26 papers receiving 572 citations

Peers

Jan Pedersen
Comparison fields: 5 of 92
  • Pharmacy 37
  • Genetics 164
  • Agronomy and Crop Science 52
  • Clinical Psychology 99
  • Infectious Diseases 87
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Citations per year

Countries citing papers authored by Jan Pedersen

Since Specialization
Citations

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

Fields of papers citing papers by Jan Pedersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200678
2 198954
3 198152
4 200043
5 199343
6 198837
7 200136
8 200333
9 201529
10 198328
11 198328
12 198125
13 198922
14 199317
15 200115
16 196715
17 198010
18 20028
19 20026
20
Association between apolipoprotein E genotypes and cancer risk in patients with acquired immunodeficiency syndrome.
20006

About Jan Pedersen

Jan Pedersen is a scholar working on Genetics, Epidemiology, Infectious Diseases, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 605 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Animal Virus Infections Studies (2 papers), Craniofacial Disorders and Treatments (2 papers), Infant Health and Development (2 papers) and Child and Animal Learning Development (2 papers). The work is most often cited by research in Pharmacy (37 citations), Genetics (164 citations), Agronomy and Crop Science (52 citations), Clinical Psychology (99 citations) and Infectious Diseases (87 citations). Jan Pedersen has collaborated with scholars based in Norway, United States and Sweden. Frequent co-authors include Dale F. Hay, Alison Nash, Kåre Berg, Dennis A. Senne, Kåre Berg, Amaresh Das, Erica Spackman, David L. Suarez, Herman Van den Berghe and Ketil Heimdal. Their work appears in journals such as Child Development, European Journal of Pediatrics, Clinical Genetics, European Journal of Cancer and Journal of Veterinary Diagnostic Investigation.

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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