Patricia Vasalos

1.7k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Patricia Vasalos is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Patricia Vasalos has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Patricia Vasalos's work include Cancer Genomics and Diagnostics (15 papers), Genetic factors in colorectal cancer (7 papers) and Lung Cancer Treatments and Mutations (7 papers). Patricia Vasalos is often cited by papers focused on Cancer Genomics and Diagnostics (15 papers), Genetic factors in colorectal cancer (7 papers) and Lung Cancer Treatments and Mutations (7 papers). Patricia Vasalos collaborates with scholars based in United States, Canada and Saudi Arabia. Patricia Vasalos's co-authors include Jason D. Merker, Alexander J. Lazar, J. Alex, Christina M. Lockwood, Suanna S. Bruinooge, Daniel F. Hayes, Richard L. Schilsky, Thomas K. Oliver, Nicholas C. Turner and Geoffrey R. Oxnard and has published in prestigious journals such as Journal of Clinical Oncology, JAMA Oncology and Archives of Pathology & Laboratory Medicine.

In The Last Decade

Patricia Vasalos

25 papers receiving 1.1k citations

Hit Papers

Circulating Tumor DNA Analysis in Patients With Cancer: A... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patricia Vasalos United States 11 826 562 515 359 301 27 1.2k
Francesco Pepe Italy 23 719 0.9× 890 1.6× 723 1.4× 531 1.5× 221 0.7× 108 1.5k
Justin N. Carter United States 6 746 0.9× 435 0.8× 357 0.7× 465 1.3× 198 0.7× 10 1.1k
AmirAli Talasaz United States 11 970 1.2× 682 1.2× 620 1.2× 312 0.9× 380 1.3× 13 1.2k
Carmen Say United States 4 734 0.9× 406 0.7× 372 0.7× 471 1.3× 201 0.7× 9 1.0k
Yasuto Naoi Japan 23 850 1.0× 290 0.5× 662 1.3× 661 1.8× 276 0.9× 88 1.5k
John Jiang United States 12 614 0.7× 505 0.9× 725 1.4× 458 1.3× 262 0.9× 17 1.2k
Audrey Didelot France 17 762 0.9× 516 0.9× 626 1.2× 485 1.4× 319 1.1× 33 1.3k
Allison O’Connell United States 6 1.1k 1.3× 933 1.7× 659 1.3× 448 1.2× 218 0.7× 9 1.4k
Sabrina Rajan United Kingdom 3 1.4k 1.7× 680 1.2× 727 1.4× 575 1.6× 412 1.4× 6 1.7k
Han Han‐Zhang China 22 409 0.5× 710 1.3× 672 1.3× 389 1.1× 240 0.8× 57 1.1k

Countries citing papers authored by Patricia Vasalos

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Vasalos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Vasalos

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Vasalos. A scholar is included among the top collaborators of Patricia Vasalos 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 Patricia Vasalos. Patricia Vasalos 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.
Moyer, Ann M., Evan M. Cadoff, Eric Q. Konnick, et al.. (2024). Laboratory Considerations for Releasing Next-Generation Sequencing Data to Patients. Archives of Pathology & Laboratory Medicine. 149(2). 152–158.
2.
Furtado, Larissa V., Kenji Ikemura, Joel T. Moncur, et al.. (2024). General Applicability of Existing College of American Pathologists Accreditation Requirements to Clinical Implementation of Machine Learning–Based Methods in Molecular Oncology Testing. Archives of Pathology & Laboratory Medicine. 149(4). 319–327.
3.
Ramkissoon, Shakti, Helen Fernandes, Dolores López‐Terrada, et al.. (2022). Clinical Laboratory Testing Practices in Diffuse Gliomas Prior to Publication of 2021 World Health Organization Classification of Central Nervous System Tumors. Archives of Pathology & Laboratory Medicine. 147(5). 518–524. 1 indexed citations
4.
Devereaux, Kelly A., Rhona J. Souers, Jason D. Merker, et al.. (2022). Clinical Testing for Tumor Cell-Free DNA: College of American Pathologists Proficiency Programs Reveal Practice Trends. Archives of Pathology & Laboratory Medicine. 147(4). 425–433. 3 indexed citations
5.
Furtado, Larissa V., Rhona J. Souers, Patricia Vasalos, et al.. (2022). Four-Year Laboratory Performance of the First College of American Pathologists In Silico Next-Generation Sequencing Bioinformatics Proficiency Testing Surveys. Archives of Pathology & Laboratory Medicine. 147(2). 137–142. 2 indexed citations
6.
Vasalos, Patricia, Chung-Che Chang, Jason N. Rosenbaum, et al.. (2022). Getting Your Laboratory on Track With Neurotrophic Receptor Tyrosine Kinase. Archives of Pathology & Laboratory Medicine. 147(8). 872–884. 2 indexed citations
7.
Hagemann, Ian S., Julia A. Bridge, Laura J. Tafe, et al.. (2022). Current Laboratory Testing Practices for Assessment of ERBB2 /HER2 in Endometrial Serous Carcinoma and Colorectal Carcinoma. Archives of Pathology & Laboratory Medicine. 147(10). 1148–1157. 11 indexed citations
8.
Sidiropoulos, Nikoletta, Sarah Daley, Helen Fernandes, et al.. (2022). Most Frequently Cited Accreditation Inspection Deficiencies for Clinical Molecular Oncology Testing Laboratories and Opportunities for Improvement. Archives of Pathology & Laboratory Medicine. 146(12). 1441–1449. 2 indexed citations
9.
Zhang, Bing, Alissa Keegan, Peng Li, et al.. (2021). An Overview of Characteristics of Clinical Next-Generation Sequencing–Based Testing for Hematologic Malignancies. Archives of Pathology & Laboratory Medicine. 145(9). 1110–1116. 1 indexed citations
10.
Lockwood, Christina M., Rhona J. Souers, Patricia Vasalos, et al.. (2020). Performance of cell-free tumor DNA testing for 101 clinical laboratories on College of American Pathologists proficiency tests.. Journal of Clinical Oncology. 38(15_suppl). e13681–e13681. 1 indexed citations
11.
Keegan, Alissa, Julia A. Bridge, Neal I. Lindeman, et al.. (2020). Proficiency Testing of Standardized Samples Shows High Interlaboratory Agreement for Clinical Next-Generation Sequencing–Based Hematologic Malignancy Assays With Survey Material–Specific Differences in Variant Frequencies. Archives of Pathology & Laboratory Medicine. 144(8). 959–966. 2 indexed citations
12.
Souers, Rhona J., Julia A. Bridge, William C. Faquin, et al.. (2019). Comparative Performance of High-Risk Human Papillomavirus RNA and DNA In Situ Hybridization on College of American Pathologists Proficiency Tests. Archives of Pathology & Laboratory Medicine. 144(3). 344–349. 27 indexed citations
13.
Surrey, Lea F., Fredrick D. Oakley, Jason D. Merker, et al.. (2019). Next-Generation Sequencing (NGS) Methods Show Superior or Equivalent Performance to Non-NGS Methods on BRAF, EGFR, and KRAS Proficiency Testing Samples. Archives of Pathology & Laboratory Medicine. 143(8). 980–984. 9 indexed citations
14.
Moncur, Joel T., Angela N. Bartley, Julia A. Bridge, et al.. (2019). Performance Comparison of Different Analytic Methods in Proficiency Testing for Mutations in the BRAF, EGFR, and KRAS Genes: A Study of the College of American Pathologists Molecular Oncology Committee. Archives of Pathology & Laboratory Medicine. 143(10). 1203–1211. 10 indexed citations
15.
Geiersbach, Katherine B., Julia A. Bridge, Michelle Dolan, et al.. (2018). Comparative Performance of Breast Cancer Human Epidermal Growth Factor Receptor 2 Fluorescence In Situ Hybridization and Brightfield In Situ Hybridization on College of American Pathologists Proficiency Tests. Archives of Pathology & Laboratory Medicine. 142(10). 1254–1259. 1 indexed citations
16.
Merker, Jason D., Geoffrey R. Oxnard, Carolyn C. Compton, et al.. (2018). Circulating Tumor DNA Analysis in Patients With Cancer: American Society of Clinical Oncology and College of American Pathologists Joint Review. Archives of Pathology & Laboratory Medicine. 142(10). 1242–1253. 146 indexed citations
17.
Merker, Jason D., Kelly A. Devereaux, A. John Iafrate, et al.. (2018). Proficiency Testing of Standardized Samples Shows Very High Interlaboratory Agreement for Clinical Next-Generation Sequencing–Based Oncology Assays. Archives of Pathology & Laboratory Medicine. 143(4). 463–471. 20 indexed citations
18.
Nagarajan, Rakesh, Angela N. Bartley, Julia A. Bridge, et al.. (2017). A Window Into Clinical Next-Generation Sequencing–Based Oncology Testing Practices. Archives of Pathology & Laboratory Medicine. 141(12). 1679–1685. 22 indexed citations
19.
Graham, Rondell P., Amanda L. Treece, Neal I. Lindeman, et al.. (2017). Worldwide Frequency of Commonly Detected EGFR Mutations. Archives of Pathology & Laboratory Medicine. 142(2). 163–167. 141 indexed citations
20.
Treece, Amanda L., Margaret L. Gulley, Patricia Vasalos, et al.. (2017). Reporting Results of Molecular Tests: A Retrospective Examination of BRAF Mutation Reporting. Archives of Pathology & Laboratory Medicine. 141(5). 658–665. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026