George S. Charames

1.4k total citations
30 papers, 627 citations indexed

About

George S. Charames is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, George S. Charames has authored 30 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Genetics and 9 papers in Oncology. Recurrent topics in George S. Charames's work include BRCA gene mutations in cancer (7 papers), Genetic factors in colorectal cancer (6 papers) and Cancer Genomics and Diagnostics (6 papers). George S. Charames is often cited by papers focused on BRCA gene mutations in cancer (7 papers), Genetic factors in colorectal cancer (6 papers) and Cancer Genomics and Diagnostics (6 papers). George S. Charames collaborates with scholars based in Canada, United States and Netherlands. George S. Charames's co-authors include Bharati Bapat, Vaijayanti Pethe, David Swanson, Brendan C. Dickson, Christopher D.�M. Fletcher, Jason L. Hornick, Andrew Wong, Jordan Lerner‐Ellis, Steven A. Narod and Nicholas A. Watkins and has published in prestigious journals such as Cancer, Cancer Research and Scientific Reports.

In The Last Decade

George S. Charames

28 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George S. Charames Canada 13 313 180 157 153 149 30 627
Cristina Morales Spain 14 750 2.4× 142 0.8× 101 0.6× 126 0.8× 213 1.4× 23 935
Xiaosheng Fang China 15 300 1.0× 196 1.1× 176 1.1× 45 0.3× 91 0.6× 69 661
Hirofumi Akashi Japan 11 329 1.1× 140 0.8× 110 0.7× 69 0.5× 169 1.1× 17 573
Anna Berg Norway 16 287 0.9× 167 0.9× 83 0.5× 88 0.6× 150 1.0× 21 683
Qingyi Wei United States 11 419 1.3× 141 0.8× 90 0.6× 71 0.5× 176 1.2× 26 542
Sónia Moniz Portugal 14 452 1.4× 153 0.8× 83 0.5× 133 0.9× 188 1.3× 18 817
Mobshra Qureshi United Kingdom 8 455 1.5× 152 0.8× 156 1.0× 214 1.4× 150 1.0× 9 694
Audrey Rasmussen United States 14 429 1.4× 400 2.2× 89 0.6× 89 0.6× 167 1.1× 18 778
Gustavo Jacob Lourenço Brazil 16 356 1.1× 148 0.8× 77 0.5× 80 0.5× 124 0.8× 82 598
Alfons Meindl Germany 12 459 1.5× 224 1.2× 80 0.5× 317 2.1× 146 1.0× 17 769

Countries citing papers authored by George S. Charames

Since Specialization
Citations

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

Fields of papers citing papers by George S. Charames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George S. Charames. 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 George S. Charames. The network helps show where George S. Charames may publish in the future.

Co-authorship network of co-authors of George S. Charames

This figure shows the co-authorship network connecting the top 25 collaborators of George S. Charames. A scholar is included among the top collaborators of George S. Charames 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 George S. Charames. George S. Charames 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
1.
Brown, Pierre Antoine, George S. Charames, Mathieu Lemaire, et al.. (2025). Framework for standardized genetic testing recommendations for chronic kidney disease in Ontario. Genetics in Medicine Open. 3. 103442–103442.
2.
Shrestha, Mariusz, David Swanson, Jordan Lerner‐Ellis, et al.. (2023). Improving RNA Fusion Call Confidence and Reliability in Molecular Diagnostic Testing. Journal of Molecular Diagnostics. 25(6). 320–330. 1 indexed citations
3.
Brezden‐Masley, Christine, et al.. (2023). Comprehensive genomic profiling for oncological advancements by precision medicine. Medical Oncology. 41(1). 1–1. 13 indexed citations
4.
Lerner‐Ellis, Jordan, Chloe Mighton, Conxi Lázaro, et al.. (2020). Multigene panel testing for hereditary breast and ovarian cancer in the province of Ontario. Journal of Cancer Research and Clinical Oncology. 147(3). 871–879. 12 indexed citations
5.
Prassas, Ioannis, et al.. (2019). Proteome-wide onco-proteogenomic somatic variant identification in ER-positive breast cancer. Clinical Biochemistry. 66. 63–75. 2 indexed citations
6.
Veitch, Zachary, Alona Zer, Herbert H. Loong, et al.. (2019). A phase II study of ENMD-2076 in advanced soft tissue sarcoma (STS). Scientific Reports. 9(1). 7390–7390. 7 indexed citations
7.
Dickson, Brendan C., David Swanson, George S. Charames, Christopher D.�M. Fletcher, & Jason L. Hornick. (2018). Epithelioid fibrous histiocytoma: molecular characterization of ALK fusion partners in 23 cases. Modern Pathology. 31(5). 753–762. 62 indexed citations
8.
Watkins, Nicholas A. & George S. Charames. (2018). Implementing Next-Generation Sequencing in Clinical Practice. The Journal of Applied Laboratory Medicine. 3(2). 338–341. 4 indexed citations
9.
Prassas, Ioannis, et al.. (2017). Variant peptide detection utilizing mass spectrometry: laying the foundations for proteogenomic identification and validation. Clinical Chemistry and Laboratory Medicine (CCLM). 55(9). 1291–1304. 8 indexed citations
10.
Wan, Bo, Keyue Ding, Andrew Wong, et al.. (2017). Genetic biomarkers associated with response to palliative radiotherapy in patients with painful bone metastases. Annals of Palliative Medicine. 6(S2). S233–S239. 3 indexed citations
11.
Wan, Bo, Keyue Ding, Andrew Wong, et al.. (2017). Genetic biomarkers associated with changes in quality of life and pain following palliative radiotherapy in patients with bone metastases. Annals of Palliative Medicine. 6(S2). S248–S256. 5 indexed citations
12.
Prassas, Ioannis, et al.. (2017). Onco-proteogenomics: Multi-omics level data integration for accurate phenotype prediction. Critical Reviews in Clinical Laboratory Sciences. 54(6). 414–432. 23 indexed citations
13.
AlDubayan, Saud H., Ashton A. Connor, Beatrix Wong, et al.. (2016). Genetic testing for Lynch syndrome in the province of Ontario. Cancer. 122(11). 1672–1679. 9 indexed citations
14.
Connor, Ashton A., Thomas A. Whelan, Melyssa Aronson, et al.. (2014). Identification of a novel MSH6 germline variant in a family with multiple gastro-intestinal malignancies by next generation sequencing. Familial Cancer. 14(1). 69–75. 1 indexed citations
15.
Charames, George S., Lily Ramyar, Terri Berk, et al.. (2008). A large novel deletion in the APC promoter region causes gene silencing and leads to classical familial adenomatous polyposis in a Manitoba Mennonite kindred. Human Genetics. 124(5). 535–541. 20 indexed citations
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18.
Charames, George S., et al.. (2007). Suppression of nuclear Wnt signaling leads to stabilization of Rac1 isoforms. FEBS Letters. 581(25). 4850–4856. 11 indexed citations
19.
Charames, George S. & Bharati Bapat. (2003). Genomic Instability and Cancer. Current Molecular Medicine. 3(7). 589–596. 152 indexed citations
20.
Charames, George S., et al.. (2000). Do MSH6 mutations contribute to double primary cancers of the colorectum and endometrium?. Human Genetics. 107(6). 623–629. 31 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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