Abigail Thomas

2.0k total citations · 1 hit paper
8 papers, 688 citations indexed

About

Abigail Thomas is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Abigail Thomas has authored 8 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Pathology and Forensic Medicine and 2 papers in Oncology. Recurrent topics in Abigail Thomas's work include Genomics and Rare Diseases (3 papers), BRCA gene mutations in cancer (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Abigail Thomas is often cited by papers focused on Genomics and Rare Diseases (3 papers), BRCA gene mutations in cancer (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Abigail Thomas collaborates with scholars based in United States and Canada. Abigail Thomas's co-authors include Fergus J. Couch, Jenna Lilyquist, David E. Goldgar, Eric C. Polley, Steven N. Hart, Hermela Shimelis, Tina Pesaran, Raymond M. Moore, Bing Feng and Jill S. Dolinsky and has published in prestigious journals such as Clinical Cancer Research, Annals of Surgical Oncology and Breast Cancer Research and Treatment.

In The Last Decade

Abigail Thomas

7 papers receiving 680 citations

Hit Papers

Associations Between Cancer Predisposition Testing Panel ... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Abigail Thomas United States 6 420 286 280 230 162 8 688
Michele Gabree United States 7 244 0.6× 215 0.8× 160 0.6× 209 0.9× 103 0.6× 9 524
A‐Yong Cao China 12 238 0.6× 199 0.7× 260 0.9× 272 1.2× 174 1.1× 40 606
Gay Hui Ho Singapore 17 156 0.4× 361 1.3× 401 1.4× 241 1.0× 107 0.7× 24 702
DF Easton United Kingdom 7 724 1.7× 318 1.1× 291 1.0× 238 1.0× 283 1.7× 16 940
Joellen Schildkraut United States 6 270 0.6× 126 0.4× 144 0.5× 153 0.7× 121 0.7× 12 464
Steven A. Narod Canada 9 499 1.2× 264 0.9× 317 1.1× 179 0.8× 167 1.0× 11 772
Lise Sveen United States 9 450 1.1× 389 1.4× 211 0.8× 247 1.1× 61 0.4× 18 738
Kun Y. Lee United States 8 212 0.5× 200 0.7× 290 1.0× 342 1.5× 127 0.8× 11 557
Ryan Bernhisel United States 12 260 0.6× 142 0.5× 184 0.7× 162 0.7× 137 0.8× 23 462
Zoe Kemp United Kingdom 12 316 0.8× 225 0.8× 148 0.5× 258 1.1× 179 1.1× 27 580

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-authorship network of co-authors of Abigail Thomas

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

All Works

8 of 8 papers shown
1.
2.
Thomas, Abigail, et al.. (2024). Are there opportunities to improve care as patients transition through the cancer care continuum? A scoping review. BMJ Open. 14(12). e078210–e078210. 1 indexed citations
3.
Hart, Steven N., Tanya L. Hoskin, Hermela Shimelis, et al.. (2018). Comprehensive annotation of BRCA1 and BRCA2 missense variants by functionally validated sequence-based computational prediction models. Genetics in Medicine. 21(1). 71–80. 43 indexed citations
4.
Hu, Chunling, Holly LaDuca, Hermela Shimelis, et al.. (2018). Multigene Hereditary Cancer Panels Reveal High-Risk Pancreatic Cancer Susceptibility Genes. JCO Precision Oncology. 2(2). 1–28. 41 indexed citations
5.
Lakshmanan, Imayavaramban, Parthasarathy Seshacharyulu, Satyanarayana Rachagani, et al.. (2017). MUC16 Regulates TSPYL5 for Lung Cancer Cell Growth and Chemoresistance by Suppressing p53. Clinical Cancer Research. 23(14). 3906–3917. 71 indexed citations
6.
Welsh, Jessemae L., Tanya L. Hoskin, Courtney N. Day, et al.. (2017). Clinical Decision-Making in Patients with Variant of Uncertain Significance in BRCA1 or BRCA2 Genes. Annals of Surgical Oncology. 24(10). 3067–3072. 66 indexed citations
7.
Leon‐Ferre, Roberto A., Mei‐Yin C. Polley, Heshan Liu, et al.. (2017). Impact of histopathology, tumor-infiltrating lymphocytes, and adjuvant chemotherapy on prognosis of triple-negative breast cancer. Breast Cancer Research and Treatment. 167(1). 89–99. 73 indexed citations
8.
Couch, Fergus J., Hermela Shimelis, Chunling Hu, et al.. (2017). Associations Between Cancer Predisposition Testing Panel Genes and Breast Cancer. JAMA Oncology. 3(9). 1190–1190. 393 indexed citations breakdown →

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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