Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Prevalence of BRCA1 and BRCA2 Gene Mutations in Patients With Early-Onset Breast Cancer
1999662 citationsJulian Peto, Nadine Collins et al.JNCI Journal of the National Cancer Instituteprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of S. Seal'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. Seal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Seal more than expected).
This network shows the impact of papers produced by S. Seal. 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. Seal. The network helps show where S. Seal may publish in the future.
Co-authorship network of co-authors of S. Seal
This figure shows the co-authorship network connecting the top 25 collaborators of S. Seal.
A scholar is included among the top collaborators of S. Seal based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with S. Seal. S. Seal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shih, Helen A., Katherine L. Nathanson, S. Seal, et al.. (2000). BRCA1 and BRCA2 mutations in breast cancer families with multiple primary cancers.. PubMed. 6(11). 4259–64.52 indexed citations
5.
Peto, Julian, Nadine Collins, Rita Barfoot, et al.. (1999). Prevalence of BRCA1 and BRCA2 Gene Mutations in Patients With Early-Onset Breast Cancer. JNCI Journal of the National Cancer Institute. 91(11). 943–949.662 indexed citations breakdown →
Bignell, Graham R., Rita Barfoot, S. Seal, et al.. (1998). Low frequency of somatic mutations in the LKB1/Peutz-Jeghers syndrome gene in sporadic breast cancer.. PubMed. 58(7). 1384–6.84 indexed citations
Collins, Nadine, Ross McManus, Richard Wooster, et al.. (1995). Consistent loss of the wild type allele in breast cancers from a family linked to the BRCA2 gene on chromosome 13q12-13.. PubMed. 10(8). 1673–5.189 indexed citations
12.
Eeles, Rosalind A., S. Seal, & A. Horwich. (1994). The incidence of germline p53 mutations in 53 Li-Fraumeni-like families and in individuals with multiple primary tumors. The American Journal of Human Genetics. 55.1 indexed citations
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.