Christopher R. Cabanski

3.3k total citations
30 papers, 1.1k citations indexed

About

Christopher R. Cabanski is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Christopher R. Cabanski has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Christopher R. Cabanski's work include RNA modifications and cancer (7 papers), Cancer Genomics and Diagnostics (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Christopher R. Cabanski is often cited by papers focused on RNA modifications and cancer (7 papers), Cancer Genomics and Diagnostics (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Christopher R. Cabanski collaborates with scholars based in United States, Romania and United Kingdom. Christopher R. Cabanski's co-authors include Christopher A. Maher, Ha X. Dang, Jessica Silva-Fisher, Nicole M. White, Charles M. Perou, Matthew D. Wilkerson, D. Neil Hayes, Ramaswamy Govindan, Michele C. Hayward and Xiaoying Yin and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Christopher R. Cabanski

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher R. Cabanski United States 15 633 489 336 277 144 30 1.1k
Kiersten Marie Miles United States 13 597 0.9× 156 0.3× 269 0.8× 243 0.9× 156 1.1× 26 926
J. Jac United States 15 423 0.7× 206 0.4× 424 1.3× 222 0.8× 107 0.7× 25 755
Qiuliang Wu China 16 407 0.6× 275 0.6× 115 0.3× 446 1.6× 126 0.9× 37 922
Karen Ernestus Germany 16 569 0.9× 398 0.8× 126 0.4× 302 1.1× 88 0.6× 37 1.2k
Francine B. de Abreu United States 16 338 0.5× 372 0.8× 256 0.8× 352 1.3× 76 0.5× 36 906
Enrico Giarnieri Italy 20 347 0.5× 304 0.6× 313 0.9× 264 1.0× 39 0.3× 68 990
Lars Tharun Germany 15 471 0.7× 179 0.4× 240 0.7× 434 1.6× 118 0.8× 41 966
Manja Meggendorfer Germany 27 854 1.3× 355 0.7× 168 0.5× 180 0.6× 389 2.7× 200 2.4k
Raphaela Schwentner Austria 19 565 0.9× 276 0.6× 344 1.0× 222 0.8× 123 0.9× 30 1.0k

Countries citing papers authored by Christopher R. Cabanski

Since Specialization
Citations

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

Fields of papers citing papers by Christopher R. Cabanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher R. Cabanski. 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 Christopher R. Cabanski. The network helps show where Christopher R. Cabanski may publish in the future.

Co-authorship network of co-authors of Christopher R. Cabanski

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher R. Cabanski. A scholar is included among the top collaborators of Christopher R. Cabanski 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 Christopher R. Cabanski. Christopher R. Cabanski 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.
Stewart, Mark, Christopher R. Cabanski, Jeff Allen, et al.. (2025). Enabling access to genetically modified cell therapies through flexible approaches to manufacturing and cost recovery. Journal for ImmunoTherapy of Cancer. 13(12). e013518–e013518.
2.
Friedman, Claire F., Christine N. Spencer, Christopher R. Cabanski, et al.. (2022). Ipilimumab alone or in combination with nivolumab in patients with advanced melanoma who have progressed or relapsed on PD-1 blockade: clinical outcomes and translational biomarker analyses. Journal for ImmunoTherapy of Cancer. 10(1). e003853–e003853. 30 indexed citations
3.
Cheung, Dorothy, Alice Fong, Han Ting Ding, et al.. (2021). A phase 1, randomized study to evaluate safety, tolerability, and pharmacokinetics of GDC-3280, a potential novel anti-fibrotic small molecule, in healthy subjects. Pulmonary Pharmacology & Therapeutics. 69. 102051–102051. 5 indexed citations
4.
5.
Cabanski, Christopher R.. (2019). Statistical methods for analysis of genetic data. Carolina Digital Repository (University of North Carolina at Chapel Hill).
6.
7.
8.
Neighbors, Margaret, Christopher R. Cabanski, Thirumalai R. Ramalingam, et al.. (2018). Prognostic and predictive biomarkers for patients with idiopathic pulmonary fibrosis treated with pirfenidone: post-hoc assessment of the CAPACITY and ASCEND trials. The Lancet Respiratory Medicine. 6(8). 615–626. 77 indexed citations
9.
Cabanski, Christopher R., Houston Gilbert, & Sofia Mosesova. (2018). Can Graphics Tell Lies? A Tutorial on How To Visualize Your Data. Clinical and Translational Science. 11(4). 371–377. 2 indexed citations
10.
Harris, Jeffrey M., Romeo Maciuca, Mary S. Bradley, et al.. (2016). A randomized trial of the efficacy and safety of quilizumab in adults with inadequately controlled allergic asthma. Respiratory Research. 17(1). 29–29. 73 indexed citations
11.
Cabanski, Christopher R., et al.. (2015). Pan-cancer transcriptome analysis reveals long noncoding RNAs with conserved function. RNA Biology. 12(6). 628–642. 68 indexed citations
12.
Keir, Mary, Christopher R. Cabanski, Ren Zhao, et al.. (2015). Rectal bleeding accurately reflects mucosal inflammation in patients with Ulcerative Colitis. 9. 1 indexed citations
13.
Kimes, Patrick K., Christopher R. Cabanski, Matthew D. Wilkerson, et al.. (2014). SigFuge: single gene clustering of RNA-seq reveals differential isoform usage among cancer samples. Nucleic Acids Research. 42(14). e113–e113. 14 indexed citations
14.
Cabanski, Christopher R., Vincent Magrini, Malachi Griffith, et al.. (2014). cDNA Hybrid Capture Improves Transcriptome Analysis on Low-Input and Archived Samples. Journal of Molecular Diagnostics. 16(4). 440–451. 30 indexed citations
15.
Wilkerson, Matthew D., Christopher R. Cabanski, Wei Sun, et al.. (2014). Integrated RNA and DNA sequencing improves mutation detection in low purity tumors. Nucleic Acids Research. 42(13). e107–e107. 53 indexed citations
16.
Cabanski, Christopher R., Matthew D. Wilkerson, Matthew G. Soloway, et al.. (2013). BlackOPs: increasing confidence in variant detection through mappability filtering. Nucleic Acids Research. 41(19). e178–e178. 41 indexed citations
17.
Cabanski, Christopher R., Chris Bizon, Matthew D. Wilkerson, et al.. (2012). ReQON: a Bioconductor package for recalibrating quality scores from next-generation sequencing data. BMC Bioinformatics. 13(1). 221–221. 13 indexed citations
18.
Wilkerson, Matthew D., Xiaoying Yin, Vonn Walter, et al.. (2012). Differential Pathogenesis of Lung Adenocarcinoma Subtypes Involving Sequence Mutations, Copy Number, Chromosomal Instability, and Methylation. PLoS ONE. 7(5). e36530–e36530. 192 indexed citations
19.
Wilkerson, Matthew D., Xiaoying Yin, Katherine A. Hoadley, et al.. (2010). Lung Squamous Cell Carcinoma mRNA Expression Subtypes Are Reproducible, Clinically Important, and Correspond to Normal Cell Types. Clinical Cancer Research. 16(19). 4864–4875. 194 indexed citations
20.
Cabanski, Christopher R., Yuan Qi, Xiaoying Yin, et al.. (2010). SWISS MADE: Standardized WithIn Class Sum of Squares to Evaluate Methodologies and Dataset Elements. PLoS ONE. 5(3). e9905–e9905. 15 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

Breakdown of academic impact, for papers by Kiersten Marie Miles Breakdown of academic impact, for papers by J. Jac Breakdown of academic impact, for papers by Qiuliang Wu Breakdown of academic impact, for papers by Karen Ernestus Breakdown of academic impact, for papers by Francine B. de Abreu Breakdown of academic impact, for papers by Enrico Giarnieri Breakdown of academic impact, for papers by Lars Tharun Breakdown of academic impact, for papers by Manja Meggendorfer Breakdown of academic impact, for papers by Raphaela Schwentner
Rankless by CCL
2026