Abigail Thomas

2.0k citations
8 papers · 712 · 1 hit paper · h-index 6

Impact in

  • Genetics top 5%
    • BRCA gene mutations in cancer
    • Genomics and Rare Diseases
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies

Papers in

    • BRCA gene mutations in cancer 3
    • Glycosylation and Glycoproteins Research 1
    • RNA modifications and cancer 1
    • Ubiquitin and proteasome pathways 1

Abigail Thomas

7 papers receiving 702 citations

Abigail Thomas's Hit Papers

Associations Between Cancer Predisposition Testing Panel Genes and Breast Cancer 2017 · 408 citations
4080+3+6Years since publication100200300400

Peers

Abigail Thomas
Comparison fields: 5 of 49
  • Genetics 389
  • Cancer Research 195
  • Oncology 186
  • Pathology and Forensic Medicine 106
  • Molecular Biology 224
Replace Michele Gabree with:
Michele Gabree United States
Lise Sveen United States
Ryan Bernhisel United States
Wojciech Kluźniak Poland
Kun Y. Lee United States
Magdalena Budryk Poland
Maroulio Pertesi United States
Kerstin Rhiem Germany
Zoe Kemp United Kingdom
Rohan Gnanaolivu United States
Abigail Thomas relative to Michele Gabree United States Michele Gabree's profile →
Citations per field
00.5×
Michele Gabree · 1×
Citations per year

Countries citing papers authored by Abigail Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Abigail Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Associations Between Cancer Predisposition Testing Panel Genes and Breast Cancer
Hit paper breakdown →
2017408
2 201775
3 201773
4 201766
5 201848
6 201841
7 20241
8 20250

About Abigail Thomas

Abigail Thomas is a scholar working on Genetics, Molecular Biology, Oncology, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 712 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (3 papers), Glycosylation and Glycoproteins Research (1 paper), RNA modifications and cancer (1 paper), Ubiquitin and proteasome pathways (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Genetics (389 citations), Cancer Research (195 citations), Oncology (186 citations), Pathology and Forensic Medicine (106 citations) and Molecular Biology (224 citations). Abigail Thomas has collaborated with scholars based in United States and Canada. Frequent co-authors include Fergus J. Couch, Steven N. Hart, Hermela Shimelis, David E. Goldgar, Jenna Lilyquist, Eric C. Polley, Bing Feng, Raymond M. Moore, Jill S. Dolinsky and Tina Pesaran. Their work appears in journals such as Clinical Cancer Research, JCO Precision Oncology, Breast Cancer Research and Treatment, Genetics in Medicine and Annals of Surgical Oncology.

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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