Ann Strydom

749 citations
15 papers · 553 · h-index 8

Impact in

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

Papers in

    • Genomics and Rare Diseases 8
    • BRCA gene mutations in cancer 5
    • Genomic variations and chromosomal abnormalities 4
    • Cancer Genomics and Diagnostics 6

Ann Strydom

15 papers receiving 545 citations

Peers

Ann Strydom
Comparison fields: 5 of 55
  • Genetics 384
  • Cancer Research 110
  • Reproductive Medicine 34
  • Oncology 91
  • Pathology and Forensic Medicine 38
Replace Hildegunn Høberg‐Vetti with:
Hildegunn Høberg‐Vetti Norway
Peter McCue United States
Seema Panchal Canada
Trevor Cole United Kingdom
Sabine Grill Germany
Sonia Nanda Canada
Jannet Blom Netherlands
Nadine Tung United Kingdom
Corinne Serruya Canada
Fergus J. Couch United States
Ann Strydom relative to Hildegunn Høberg‐Vetti Norway Hildegunn Høberg‐Vetti's profile →
Citations per field
00.5×1.5×2×
Hildegunn Høberg‐Vetti · 1×
Citations per year

Countries citing papers authored by Ann Strydom

Since Specialization
Citations

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

Fields of papers citing papers by Ann Strydom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016185
2 201993
3 201682
4 201760
5 201549
6 201629
7 201521
8 20179
9 20187
10 20185
11 20224
12 20163
13 20183
14
The ICR1000 UK exome series: a resource of gene variation in an outbred population [version 1; referees: 2 approved]
20152
15 19951

About Ann Strydom

Ann Strydom is a scholar working on Genetics, Cancer Research, Molecular Biology, Reproductive Medicine and Rheumatology, having authored 15 papers that have together received 553 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 papers), Cancer Genomics and Diagnostics (6 papers), BRCA gene mutations in cancer (5 papers), CRISPR and Genetic Engineering (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Phylogenetic Studies (2 papers), Folate and B Vitamins Research (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Genetics (384 citations), Cancer Research (110 citations), Reproductive Medicine (34 citations), Oncology (91 citations) and Pathology and Forensic Medicine (38 citations). Ann Strydom has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Nazneen Rahman, Sheila Seal, Shazia Mahamdallie, Angela Joy George, Elise Ruark, Zoe Kemp, Ingrid Slade, HELEN LOUISE HANSON, Emma Ramsay and Matthew Clarke. Their work appears in journals such as Wellcome Open Research, F1000Research, JAMA Network Open, Familial Cancer and Value in Health.

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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