Frederick S. Varn

4.5k total citations
28 papers, 1.0k citations indexed

About

Frederick S. Varn is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Frederick S. Varn has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Frederick S. Varn's work include Cancer Immunotherapy and Biomarkers (8 papers), Cancer Genomics and Diagnostics (8 papers) and Glioma Diagnosis and Treatment (6 papers). Frederick S. Varn is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), Cancer Genomics and Diagnostics (8 papers) and Glioma Diagnosis and Treatment (6 papers). Frederick S. Varn collaborates with scholars based in United States, United Kingdom and Netherlands. Frederick S. Varn's co-authors include Chao Cheng, David W. Mullins, Yue Wang, Steven Fiering, J. Louise Lines, Aurélien Sarde, Isabelle Le Mercier, Rodwell Mabaera, Jie Deng and Randolph J. Noelle and has published in prestigious journals such as Nature Communications, Nature Genetics and The Journal of Experimental Medicine.

In The Last Decade

Frederick S. Varn

28 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frederick S. Varn United States 16 513 410 358 286 232 28 1.0k
Felix Frenkel United States 8 507 1.0× 380 0.9× 437 1.2× 226 0.8× 277 1.2× 17 1.0k
Frank J. Lowery United States 14 580 1.1× 408 1.0× 565 1.6× 140 0.5× 197 0.8× 26 1.1k
Jules Gadiot Netherlands 14 641 1.2× 461 1.1× 483 1.3× 139 0.5× 131 0.6× 21 1.1k
Jillian Phallen United States 13 494 1.0× 372 0.9× 315 0.9× 301 1.1× 242 1.0× 31 1.1k
Maria Georganaki Sweden 11 393 0.8× 315 0.8× 258 0.7× 115 0.4× 117 0.5× 12 711
Diane Tseng United States 11 701 1.4× 803 2.0× 417 1.2× 161 0.6× 275 1.2× 21 1.5k
François Lassailly United Kingdom 12 419 0.8× 303 0.7× 683 1.9× 170 0.6× 95 0.4× 17 1.3k
Ina Klebba United States 12 814 1.6× 256 0.6× 745 2.1× 311 1.1× 136 0.6× 19 1.4k
Tyler Alban United States 15 377 0.7× 397 1.0× 307 0.9× 163 0.6× 95 0.4× 33 938
Sheheryar Kabraji United States 11 525 1.0× 168 0.4× 389 1.1× 216 0.8× 525 2.3× 23 936

Countries citing papers authored by Frederick S. Varn

Since Specialization
Citations

This map shows the geographic impact of Frederick S. Varn'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. Varn 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. Varn more than expected).

Fields of papers citing papers by Frederick S. Varn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Frederick S. Varn. A scholar is included among the top collaborators of Frederick S. Varn 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. Varn. Frederick S. Varn 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.
Shahzad, Uswa, Christopher Li, Michael J. Johnston, et al.. (2024). CASCADES, a novel SOX2 super‐enhancer‐associated long noncoding RNA, regulates cancer stem cell specification and differentiation in glioblastoma. Molecular Oncology. 19(3). 764–784. 5 indexed citations
2.
Yeo, Alan T., Rinku Pal, Shruti Rawal, et al.. (2023). Driver Mutations Dictate the Immunologic Landscape and Response to Checkpoint Immunotherapy of Glioblastoma. Cancer Immunology Research. 11(5). 629–645. 15 indexed citations
3.
Lodha, Disha, Steven Pollock, Gemma Hemmings, et al.. (2023). GBMdeconvoluteR accurately infers proportions of neoplastic and immune cell populations from bulk glioblastoma transcriptomics data. Neuro-Oncology. 25(7). 1236–1248. 10 indexed citations
4.
Kocakavuk, Emre, Kevin Anderson, Frederick S. Varn, et al.. (2021). Radiotherapy is associated with a deletion signature that contributes to poor outcomes in patients with cancer. Nature Genetics. 53(7). 1088–1096. 83 indexed citations
5.
Kim, Yona, Frederick S. Varn, Sung‐Hye Park, et al.. (2021). Perspective of mesenchymal transformation in glioblastoma. Acta Neuropathologica Communications. 9(1). 50–50. 75 indexed citations
6.
Anderson, Kevin, Kevin C. Johnson, Frederick S. Varn, et al.. (2021). EPCO-13. MULTIOMIC SINGLE NUCLEUS RNA- AND ATACseq PROFILING REVEALS REGULATORS OF GLIOMA CELL STATE DIVERSITY. Neuro-Oncology. 23(Supplement_6). vi4–vi4. 1 indexed citations
7.
Schaafsma, Evelien, Yanding Zhao, Yue Wang, et al.. (2020). Whole transcriptome signature for prognostic prediction (WTSPP): application of whole transcriptome signature for prognostic prediction in cancer. Laboratory Investigation. 100(10). 1356–1366. 2 indexed citations
8.
Deng, Jie, Jiannan Li, Aurélien Sarde, et al.. (2019). Hypoxia-Induced VISTA Promotes the Suppressive Function of Myeloid-Derived Suppressor Cells in the Tumor Microenvironment. Cancer Immunology Research. 7(7). 1079–1090. 164 indexed citations
9.
Zhao, Yanding, Robert Carter, Sivaraman Natarajan, et al.. (2019). Single-cell RNA sequencing reveals the impact of chromosomal instability on glioblastoma cancer stem cells. BMC Medical Genomics. 12(1). 79–79. 34 indexed citations
10.
Barthel, Floris P, Kevin C. Johnson, Frederick S. Varn, et al.. (2019). GENE-28. LONGITUDINAL MOLECULAR TRAJECTORIES OF DIFFUSE GLIOMA IN ADULTS. Neuro-Oncology. 21(Supplement_6). vi103–vi103. 3 indexed citations
11.
Varn, Frederick S., Evelien Schaafsma, Yue Wang, & Chao Cheng. (2018). Genomic Characterization of Six Virus-Associated Cancers Identifies Changes in the Tumor Immune Microenvironment and Altered Genetic Programs. Cancer Research. 78(22). 6413–6423. 34 indexed citations
12.
Varn, Frederick S., Yue Wang, David W. Mullins, Steven Fiering, & Chao Cheng. (2017). Systematic Pan-Cancer Analysis Reveals Immune Cell Interactions in the Tumor Microenvironment. Cancer Research. 77(6). 1271–1282. 116 indexed citations
13.
Mark, Kenneth M. K., et al.. (2017). The E2F4 prognostic signature predicts pathological response to neoadjuvant chemotherapy in breast cancer patients. BMC Cancer. 17(1). 306–306. 12 indexed citations
14.
Cheng, Chao, Shaoke Lou, Erik Andrews, Matthew Ung, & Frederick S. Varn. (2016). Integrative Genomic Analyses Yield Cell-Cycle Regulatory Programs with Prognostic Value. Molecular Cancer Research. 14(4). 332–343. 5 indexed citations
15.
16.
Ung, Matthew, Frederick S. Varn, & Chao Cheng. (2016). In silicoframeworks for systematic pre-clinical screening of potential anti-leukemia therapeutics. Expert Opinion on Drug Discovery. 11(12). 1213–1222. 3 indexed citations
17.
Cheng, Chao, Frederick S. Varn, & Carmen J. Marsit. (2015). E2F4 Program Is Predictive of Progression and Intravesical Immunotherapy Efficacy in Bladder Cancer. Molecular Cancer Research. 13(9). 1316–1324. 17 indexed citations
18.
Varn, Frederick S., et al.. (2015). Integrative analysis of survival-associated gene sets in breast cancer. BMC Medical Genomics. 8(1). 11–11. 16 indexed citations
19.
Ung, Matthew, Frederick S. Varn, Shaoke Lou, & Chao Cheng. (2015). Regulators Associated with Clinical Outcomes Revealed by DNA Methylation Data in Breast Cancer. PLoS Computational Biology. 11(5). e1004269–e1004269. 8 indexed citations
20.
Varn, Frederick S., Erik Andrews, & Chao Cheng. (2015). Systematic analysis of hematopoietic gene expression profiles for prognostic prediction in acute myeloid leukemia. Scientific Reports. 5(1). 16987–16987. 5 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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