Frederick S. Vizeacoumar

3.1k total citations
51 papers, 912 citations indexed

About

Frederick S. Vizeacoumar is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Frederick S. Vizeacoumar has authored 51 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 13 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Frederick S. Vizeacoumar's work include Cancer Genomics and Diagnostics (6 papers), Cancer-related Molecular Pathways (6 papers) and Epigenetics and DNA Methylation (6 papers). Frederick S. Vizeacoumar is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Cancer-related Molecular Pathways (6 papers) and Epigenetics and DNA Methylation (6 papers). Frederick S. Vizeacoumar collaborates with scholars based in Canada, United States and Italy. Frederick S. Vizeacoumar's co-authors include Franco J. Vizeacoumar, Andrew Freywald, Franco J. Vizeacoumar, Alessandro Datti, Kalpana K. Bhanumathy, Deborah H. Anderson, Eldad Zacksenhaus, Sean E. Egan, Alison K Ward and Thomas Sun and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Frederick S. Vizeacoumar

48 papers receiving 900 citations

Peers

Frederick S. Vizeacoumar
Weihua Tian Denmark
Miljan Kuljanin United States
Mahesh Saqcena United States
Sean Caenepeel United States
Banibrata Sen United States
Frederick S. Vizeacoumar
Citations per year, relative to Frederick S. Vizeacoumar Frederick S. Vizeacoumar (= 1×) peers Birgitte Brinkmann Olsen

Countries citing papers authored by Frederick S. Vizeacoumar

Since Specialization
Citations

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

Fields of papers citing papers by Frederick S. Vizeacoumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederick S. Vizeacoumar

This figure shows the co-authorship network connecting the top 25 collaborators of Frederick S. Vizeacoumar. A scholar is included among the top collaborators of Frederick S. Vizeacoumar 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 Frederick S. Vizeacoumar. Frederick S. Vizeacoumar 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.
Vizeacoumar, Frederick S., Jay Patel, Yue Zhang, et al.. (2025). A novel role for Neurog2 in MYCN driven neuroendocrine plasticity of prostate cancer. Oncogene. 44(29). 2460–2473.
2.
Ding, Yulian, Yi Pan, C. Ronald Geyer, et al.. (2025). Unraveling bladder cancer-related circRNA biomarkers: a hybrid model combining deep learning and statistics. Health Information Science and Systems. 13(1). 53–53. 1 indexed citations
3.
Dolgova, Natalia V., Michal T. Boniecki, Frederick S. Vizeacoumar, et al.. (2024). MEMO1 binds iron and modulates iron homeostasis in cancer cells. eLife. 13. 7 indexed citations
4.
Ding, Yulian, Andrew Freywald, Yi Pan, et al.. (2024). Systematic Comparison of CRISPR and shRNA Screens to Identify Essential Genes Using a Graph-Based Unsupervised Learning Model. Cells. 13(19). 1653–1653. 1 indexed citations
5.
Wong, Nelson K.Y., Marta Llauradó Fernández, Hannah Kim, et al.. (2024). Preclinical 3D model screening reveals digoxin as an effective therapy for a rare and aggressive type of endometrial cancer. Gynecologic Oncology. 188. 162–168. 1 indexed citations
6.
Singh, Ravi Shankar, Frederick S. Vizeacoumar, Anthony Kusalik, et al.. (2023). Synthetic lethal interactions of DEAD/H-box helicases as targets for cancer therapy. Frontiers in Oncology. 12. 1087989–1087989. 4 indexed citations
7.
Zhang, Yue, et al.. (2023). A CRISPR Platform for Targeted In Vivo Screens. Methods in molecular biology. 2614. 397–409.
8.
Khan, Raymond, Kalpana K. Bhanumathy, Frederick S. Vizeacoumar, et al.. (2022). A Drug Repurposing Screen Identifies Fludarabine Phosphate as a Potential Therapeutic Agent for N-MYC Overexpressing Neuroendocrine Prostate Cancers. Cells. 11(14). 2246–2246. 11 indexed citations
9.
Mellor, Paul, S. Austin Hammond, Aren Boulet, et al.. (2022). Homoharringtonine demonstrates a cytotoxic effect against triple-negative breast cancer cell lines and acts synergistically with paclitaxel. Scientific Reports. 12(1). 15663–15663. 11 indexed citations
10.
Dwivedi, Shubham, et al.. (2021). Sympathetic signaling facilitates progression of neuroendocrine prostate cancer. Cell Death Discovery. 7(1). 364–364. 19 indexed citations
11.
Chafe, Shawn C., Frederick S. Vizeacoumar, Geetha Venkateswaran, et al.. (2021). Genome-wide synthetic lethal screen unveils novel CAIX-NFS1/xCT axis as a targetable vulnerability in hypoxic solid tumors. Science Advances. 7(35). 98 indexed citations
12.
Vizeacoumar, Frederick S., Kalpana K. Bhanumathy, Cristina González‐López, et al.. (2021). Identification of novel genes involved in apoptosis of HIV-infected macrophages using unbiased genome-wide screening. BMC Infectious Diseases. 21(1). 655–655. 1 indexed citations
13.
Wang, Xiaoman, Frederick S. Vizeacoumar, & Avinash Sahu. (2021). INCISOR: An Algorithm to Identify Synthetic Rescue Mediators of Resistance to Targeted and Immunotherapy. Methods in molecular biology. 2381. 203–215. 2 indexed citations
14.
Vizeacoumar, Frederick S., et al.. (2019). Banding Together: A Systematic Comparison of The Cancer Genome Atlas and the Mitelman Databases. Cancer Research. 79(20). 5181–5190. 7 indexed citations
15.
Yadav, Garima, et al.. (2019). Targeting the CINful genome: Strategies to overcome tumor heterogeneity. Progress in Biophysics and Molecular Biology. 147. 77–91. 13 indexed citations
16.
Kirzinger, Morgan, Frederick S. Vizeacoumar, Cristina González‐López, et al.. (2019). Humanized yeast genetic interaction mapping predicts synthetic lethal interactions of FBXW7 in breast cancer. BMC Medical Genomics. 12(1). 112–112. 7 indexed citations
17.
Miah, Sayem, Edward T. Bagu, Raghuveera Kumar Goel, et al.. (2019). Estrogen receptor signaling regulates the expression of the breast tumor kinase in breast cancer cells. BMC Cancer. 19(1). 78–78. 22 indexed citations
18.
Parameswaran, Sreejith, et al.. (2018). A Road Map to Personalizing Targeted Cancer Therapies Using Synthetic Lethality. Trends in cancer. 5(1). 11–29. 22 indexed citations
19.
Auslander, Noam, Behzad M. Toosi, Keren Yizhak, et al.. (2017). An integrated computational and experimental study uncovers FUT 9 as a metabolic driver of colorectal cancer. Molecular Systems Biology. 13(12). 956–956. 37 indexed citations
20.
Jin, Ke, Jingjing Li, Frederick S. Vizeacoumar, et al.. (2011). PhenoM: a database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae. Nucleic Acids Research. 40(D1). D687–D694. 12 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