Thomas P. Slavin

1.8k total citations · 1 hit paper
17 papers, 338 citations indexed

About

Thomas P. Slavin is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Thomas P. Slavin has authored 17 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 5 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Thomas P. Slavin's work include BRCA gene mutations in cancer (13 papers), Cancer Genomics and Diagnostics (5 papers) and Genetic factors in colorectal cancer (3 papers). Thomas P. Slavin is often cited by papers focused on BRCA gene mutations in cancer (13 papers), Cancer Genomics and Diagnostics (5 papers) and Genetic factors in colorectal cancer (3 papers). Thomas P. Slavin collaborates with scholars based in United States, Canada and Mexico. Thomas P. Slavin's co-authors include Jeffrey N. Weitzel, Ilana Solomon, Christina Rybak, Mariana Niell‐Swiller, Bita Nehoray, Kathleen R. Blazer, Allison W. Kurian, Rachel Hodan, Katherine L. Nathanson and Lily Hoang and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Cancer.

In The Last Decade

Thomas P. Slavin

17 papers receiving 335 citations

Hit Papers

Germline Genetic Testing After Cancer Diagnosis 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas P. Slavin United States 7 223 113 104 90 65 17 338
Danielle Castillo United States 9 222 1.0× 130 1.2× 103 1.0× 60 0.7× 81 1.2× 27 327
Jana Soukupová Czechia 12 200 0.9× 210 1.9× 112 1.1× 104 1.2× 110 1.7× 38 467
Carlos J. Gallego United States 6 127 0.6× 63 0.6× 76 0.7× 100 1.1× 55 0.8× 10 261
Joe Dennis United Kingdom 9 109 0.5× 88 0.8× 61 0.6× 39 0.4× 78 1.2× 24 247
John L. Hopper Australia 4 180 0.8× 73 0.6× 62 0.6× 53 0.6× 129 2.0× 5 308
Judy-Anne W. Chapman Canada 8 138 0.6× 85 0.8× 124 1.2× 68 0.8× 185 2.8× 9 358
Maurício Magalhães Costa Brazil 10 177 0.8× 168 1.5× 135 1.3× 43 0.5× 114 1.8× 19 336
Isabella Marchi Italy 11 188 0.8× 90 0.8× 88 0.8× 46 0.5× 119 1.8× 17 269
Molly Sebastian United States 4 169 0.8× 54 0.5× 134 1.3× 78 0.9× 76 1.2× 9 263
Kalotina Machini United States 9 370 1.7× 109 1.0× 111 1.1× 74 0.8× 27 0.4× 15 518

Countries citing papers authored by Thomas P. Slavin

Since Specialization
Citations

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

Fields of papers citing papers by Thomas P. Slavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas P. Slavin

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

All Works

17 of 17 papers shown
1.
Iliev, Diana, Chelsea R. Kasten, Howard Korman, et al.. (2024). Active surveillance selection and 3-year durability in intermediate-risk prostate cancer following genomic testing. Prostate Cancer and Prostatic Diseases. 28(2). 427–434. 2 indexed citations
2.
Daly, Mary B., Eric T. Rosenthal, Shelly Cummings, et al.. (2023). The association between age at breast cancer diagnosis and prevalence of pathogenic variants. Breast Cancer Research and Treatment. 199(3). 617–626. 5 indexed citations
3.
Kurian, Allison W., Paul Abrahamse, Allison Furgal, et al.. (2023). Germline Genetic Testing After Cancer Diagnosis. JAMA. 330(1). 43–43. 66 indexed citations breakdown →
4.
Jones, Melanie A., Kirsten M. Timms, Elizabeth S. Cogan, et al.. (2023). The landscape of BRCA1 and BRCA2 large rearrangements in an international cohort of over 20 000 ovarian tumors identified using next‐generation sequencing. Genes Chromosomes and Cancer. 62(10). 589–596. 3 indexed citations
5.
Shore, Neal D., Elizabeth S. Cogan, Diana Iliev, et al.. (2022). Hereditary cancer risk assessment and genetic testing in the community urology practice setting. The Prostate. 82(7). 850–857. 2 indexed citations
6.
Weitzel, Jeffrey N., John Kidd, Ryan Bernhisel, et al.. (2021). Multigene assessment of genetic risk for women for two or more breast cancers. Breast Cancer Research and Treatment. 188(3). 759–768. 5 indexed citations
7.
Reckamp, Karen L., Carolyn E. Behrendt, Thomas P. Slavin, et al.. (2021). Germline mutations and age at onset of lung adenocarcinoma. Cancer. 127(15). 2801–2806. 18 indexed citations
8.
Kurian, Allison W., Elisha Hughes, Timothy Simmons, et al.. (2021). Performance of the IBIS/Tyrer‐Cuzick model of breast cancer risk by race and ethnicity in the Women's Health Initiative. Cancer. 127(20). 3742–3750. 27 indexed citations
9.
Chávarri-Guerra, Yanin, et al.. (2020). Genetic cancer predisposition syndromes among older adults. Journal of Geriatric Oncology. 11(7). 1054–1060. 3 indexed citations
10.
Weitzel, Jeffrey N., Kathleen R. Blazer, Thomas P. Slavin, et al.. (2019). Germline mutation profile among Hispanic women with epithelial ovarian cancer (EOC).. Journal of Clinical Oncology. 37(15_suppl). 1584–1584. 1 indexed citations
11.
Offit, Kenneth, Kasmintan A. Schrader, Kara N. Maxwell, et al.. (2016). Cancer susceptibility mutations in individuals with breast and ovarian cancer using next-generation sequencing.. Journal of Clinical Oncology. 34(15_suppl). 1515–1515. 1 indexed citations
12.
Hart, Steven N., Joseph Vijai, Kasmintan A. Schrader, et al.. (2016). Evaluation of ACMG-Guideline-Based Variant Classification of Cancer Susceptibility and Non-Cancer-Associated Genes in Families Affected by Breast Cancer. The American Journal of Human Genetics. 98(5). 801–817. 81 indexed citations
13.
Slavin, Thomas P., Mariana Niell‐Swiller, Ilana Solomon, et al.. (2015). Clinical Application of Multigene Panels: Challenges of Next-Generation Counseling and Cancer Risk Management. Frontiers in Oncology. 5. 208–208. 75 indexed citations
14.
Weitzel, Jeffrey N., Kathleen R. Blazer, Bita Nehoray, et al.. (2015). Assessment of the clinical presentation of patients with at least two deleterious mutations on multi-gene panel testing.. Journal of Clinical Oncology. 33(15_suppl). 1514–1514. 3 indexed citations
15.
Slavin, Thomas P., et al.. (2014). Elevated blood pressure: Our family’s fault? The genetics of essential hypertension. World Journal of Cardiology. 6(5). 327–327. 21 indexed citations
16.
Mochizuki, Aaron, James Hyland, Timothy L. Brown, & Thomas P. Slavin. (2014). Is Tel Hashomer camptodactyly a distinct clinical entity?. American Journal of Medical Genetics Part A. 167(1). 255–258. 2 indexed citations
17.
Slavin, Thomas P., Noam Lazebnik, Dinah Clark, et al.. (2012). Germline mosaicism in Cornelia de Lange syndrome. American Journal of Medical Genetics Part A. 158A(6). 1481–1485. 23 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.

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