Jane Fridlyand

20.2k citations
68 papers · 10.6k indexed · 3 hit papers · h-index 40
Topics
Genomic variations and chromosomal abnormalities (20 papers)Cancer Genomics and Diagnostics (16 papers)Gene expression and cancer classification (13 papers)

In The Last Decade

Jane Fridlyand

66 papers receiving 10.3k citations

Hit Papers

Distinct Sets of Genetic Alterations in Melanoma200220262010201820052002201250010001.5k

Peers

Jane Fridlyand
Comparison fields: 5 of 193
  • Molecular Biology 6.7k
  • Oncology 3.5k
  • Cancer Research 2.0k
  • Genetics 1.4k
  • Artificial Intelligence 1.1k
Replace Markus Ringnér with:
Markus Ringnér Sweden
Adam B. Olshen United States
David A. Fishman United States
Stefano Monti United States
Mignon L. Loh United States
Tatsuhiko Tsunoda Japan
Hilary A. Coller United States
Jeffrey R. Marks United States
Ethan Dmitrovsky United States
Benjamin Haibe‐Kains Canada
Jane Fridlyand relative to Markus Ringnér Sweden Markus Ringnér's profile →
Citations per field
00.5×1.5×
Markus Ringnér · 1×
Citations per year

Countries citing papers authored by Jane Fridlyand

Since Specialization
Citations

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

Fields of papers citing papers by Jane Fridlyand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Fridlyand

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Fridlyand. A scholar is included among the top collaborators of Jane Fridlyand 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 Jane Fridlyand. Jane Fridlyand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 21
4 149
5 122
6 243
7 295
8 67
9
Mutations in TP53 and associated genomic abnormalities are dependent on breast cancer estrogen receptor status and patient age
1
10 1
11 66
12 73
13 19
14 65
15 33
16 22
17 69
18 7
19 67
20 487

About Jane Fridlyand

Jane Fridlyand is a scholar working on Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 68 papers that have together received 10.6k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (20 papers), Cancer Genomics and Diagnostics (16 papers) and Gene expression and cancer classification (13 papers). The work is most often cited by research in Cancer Research (2.0k citations), Oncology (3.5k citations) and Molecular Biology (6.7k citations). Jane Fridlyand has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Sandrine Dudoit, Terence P. Speed, Boris C. Bastian, Donna G. Albertson, Hetal Patel, Toshiro Kageshita, Klaus J. Busam, Dan Pinkel, Hanni Willenbrock and Heinz Kutzner. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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