S. Hageman

529 citations
5 papers · 397 · h-index 3

Impact in

  • Genetics top 10%
    • BRCA gene mutations in cancer
    • Genomic variations and chromosomal abnormalities
    • Cancer Genomics and Diagnostics

Papers in

    • BRCA gene mutations in cancer 3
    • Congenital heart defects research 1
    • Protein Tyrosine Phosphatases 1
    • CRISPR and Genetic Engineering 1

S. Hageman

5 papers receiving 384 citations

Peers

S. Hageman
Comparison fields: 5 of 39
  • Genetics 317
  • Cancer Research 92
  • Reproductive Medicine 46
  • Pathology and Forensic Medicine 80
  • Molecular Biology 207
Replace Sabine Pagès with:
Sabine Pagès France
Dominique Stoppa-Lyonnet France
Antoine Rousselin France
Eva Macháčková Czechia
Paraskevi Apostolou Greece
Katharina Eirich Germany
Mike Stratton United Kingdom
Jacopo Azzollini Italy
Alison M. Hosey United Kingdom
Mara Colombo Italy
S. Hageman relative to Sabine Pagès France Sabine Pagès's profile →
Citations per field
00.5×
Sabine Pagès · 1×
Citations per year

Countries citing papers authored by S. Hageman

Since Specialization
Citations

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

Fields of papers citing papers by S. Hageman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 1997321
2 199941
3 200233
4
[Psychopathology in female carriers of the fragile X mutation].
20071
5 19971

About S. Hageman

S. Hageman is a scholar working on Genetics, Molecular Biology, Genetics, Oncology and Immunology, having authored 5 papers that have together received 397 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (3 papers), Congenital heart defects research (1 paper), Cancer Genomics and Diagnostics (1 paper), Protein Tyrosine Phosphatases (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Ovarian cancer diagnosis and treatment (1 paper), CRISPR and Genetic Engineering (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Genetics (317 citations), Cancer Research (92 citations), Reproductive Medicine (46 citations), Pathology and Forensic Medicine (80 citations) and Molecular Biology (207 citations). S. Hageman has collaborated with scholars based in Netherlands, Belgium and Spain. Frequent co-authors include Laura J. van’t Veer, Frans B.L. Hogervorst, Marjolijn J. L. Ligtenberg, Peter Devilee, Hanne Meijers-Heijboer, Margreethe van Vliet, Tamara Peelen, Hans F. A. Vasen, Cees J. Cornelisse and Jan G.M. Klijn. Their work appears in journals such as Nature Genetics, British Journal of Cancer, The Breast, European Journal of Cancer and PubMed.

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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