Andrew Uzilov

3.0k total citations · 1 hit paper
24 papers, 1.3k citations indexed

About

Andrew Uzilov is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Andrew Uzilov has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Surgery. Recurrent topics in Andrew Uzilov's work include Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (5 papers) and Cancer Genomics and Diagnostics (5 papers). Andrew Uzilov is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (5 papers) and Cancer Genomics and Diagnostics (5 papers). Andrew Uzilov collaborates with scholars based in United States, Spain and France. Andrew Uzilov's co-authors include Ian Holmes, Mitchell E. Skinner, Lincoln Stein, Chris Mungall, David H. Mathews, Jason G. Underwood, Todd M. Lowe, Sofie R. Salama, David Haussler and Sol Katzman and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Andrew Uzilov

24 papers receiving 1.3k citations

Hit Papers

JBrowse: A next-generatio... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Uzilov United States 11 913 267 188 171 82 24 1.3k
Guillemette Marot France 16 932 1.0× 265 1.0× 159 0.8× 128 0.7× 75 0.9× 35 1.6k
Jianxing Feng China 15 1.6k 1.8× 306 1.1× 260 1.4× 333 1.9× 99 1.2× 31 2.2k
Artem Tarasov Russia 4 1.0k 1.1× 214 0.8× 330 1.8× 249 1.5× 67 0.8× 7 1.6k
K White United States 22 1.1k 1.2× 188 0.7× 331 1.8× 173 1.0× 61 0.7× 29 1.8k
Kevin L. Knudtson United States 16 422 0.5× 221 0.8× 130 0.7× 85 0.5× 38 0.5× 34 1.3k
Osamu Ogasawara Japan 19 898 1.0× 157 0.6× 143 0.8× 74 0.4× 40 0.5× 32 1.2k
Benjamin Schuster‐Böckler United Kingdom 19 1.6k 1.7× 540 2.0× 358 1.9× 183 1.1× 83 1.0× 26 2.1k
Giuseppe Narzisi United States 15 624 0.7× 156 0.6× 278 1.5× 101 0.6× 32 0.4× 29 1.0k
Thorsten Forster United Kingdom 24 1.1k 1.2× 240 0.9× 170 0.9× 69 0.4× 61 0.7× 53 2.2k
Andrew Yates United Kingdom 14 1.1k 1.2× 126 0.5× 317 1.7× 321 1.9× 28 0.3× 30 1.6k

Countries citing papers authored by Andrew Uzilov

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Uzilov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Uzilov

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Uzilov. A scholar is included among the top collaborators of Andrew Uzilov 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 Andrew Uzilov. Andrew Uzilov 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.
Anker, Jonathan F., Sumanta K. Pal, Seunghee Kim‐Schulze, et al.. (2023). Antitumor immunity as the basis for durable disease-free treatment-free survival in patients with metastatic urothelial cancer. Journal for ImmunoTherapy of Cancer. 11(8). e007613–e007613. 7 indexed citations
2.
Jun, Tomi, Noah M. Hahn, Guru Sonpavde, et al.. (2022). Phase II Clinical and Translational Study of Everolimus ± Paclitaxel as First-Line Therapy in Cisplatin-Ineligible Advanced Urothelial Carcinoma. The Oncologist. 27(6). 432–e452. 3 indexed citations
3.
Costa‐Guda, Jessica, Chetanya Pandya, Maya Strahl, et al.. (2021). Parafibromin Abnormalities in Ossifying Fibroma. Journal of the Endocrine Society. 5(7). bvab087–bvab087. 7 indexed citations
4.
Fullard, John F., Alexander W. Charney, Georgios Voloudakis, et al.. (2019). Assessment of somatic single-nucleotide variation in brain tissue of cases with schizophrenia. Translational Psychiatry. 9(1). 21–21. 20 indexed citations
5.
Lui, Lauren Michelle, et al.. (2018). Methylation guide RNA evolution in archaea: structure, function and genomic organization of 110 C/D box sRNA families across six Pyrobaculum species. Nucleic Acids Research. 46(11). 5678–5691. 8 indexed citations
6.
Li, Li, Benjamin Readhead, Madhav C. Menon, et al.. (2017). Novel Therapeutics Identification for Fibrosis in Renal Allograft Using Integrative Informatics Approach. Scientific Reports. 7(1). 39487–39487. 23 indexed citations
7.
Galsky, Matt D., Andrew Uzilov, Russell B. McBride, et al.. (2017). DNA damage response (DDR) gene mutations (mut), mut load, and sensitivity to chemotherapy plus immune checkpoint blockade in urothelial cancer (UC).. Journal of Clinical Oncology. 35(6_suppl). 300–300. 8 indexed citations
8.
Rykunov, Dmitry, Noam D. Beckmann, Hui Li, et al.. (2016). A new molecular signature method for prediction of driver cancer pathways from transcriptional data. Nucleic Acids Research. 44(11). e110–e110. 14 indexed citations
9.
Hakenberg, Jörg, Wei‐Yi Cheng, Philippe Thomas, et al.. (2016). Integrating 400 million variants from 80,000 human samples with extensive annotations: towards a knowledge base to analyze disease cohorts. BMC Bioinformatics. 17(1). 24–24. 7 indexed citations
10.
Uzilov, Andrew & Jason G. Underwood. (2016). High-Throughput Nuclease Probing of RNA Structures Using FragSeq. Methods in molecular biology. 1490. 105–134. 8 indexed citations
11.
Ma, Meng, Ru Ying, Ling-Shiang Chuang, et al.. (2015). Disease-associated variants in different categories of disease located in distinct regulatory elements. BMC Genomics. 16(S8). S3–S3. 40 indexed citations
12.
Pereira, Elena, Olga Camacho‐Vanegas, Sanya Anand, et al.. (2015). Personalized Circulating Tumor DNA Biomarkers Dynamically Predict Treatment Response and Survival In Gynecologic Cancers. PLoS ONE. 10(12). e0145754–e0145754. 133 indexed citations
13.
Uzilov, Andrew. (2013). Novel applications of high-throughput RNA sequencing: mapping RNA structure and discovering circular RNAs. eScholarship (California Digital Library). 1 indexed citations
14.
Weissman, Jonathan S., Petros Giannikopoulos, John St. John, et al.. (2013). Integrated genomic analysis by whole exome and transcriptome sequencing of tumor samples from EGFR-mutant non-small-cell lung cancer (NSCLC) patients (p) with acquired resistance to erlotinib.. Journal of Clinical Oncology. 31(15_suppl). 11010–11010. 5 indexed citations
15.
Bivona, Trever G., Petros Giannikopoulos, Carlota Costa, et al.. (2013). Integrated genomic analysis of EGFR-mutant non-small cell lung cancer immediately following erlotinib initiation in patients.. Journal of Clinical Oncology. 31(15_suppl). 11067–11067. 1 indexed citations
16.
Underwood, Jason G., Andrew Uzilov, Sol Katzman, et al.. (2010). FragSeq: transcriptome-wide RNA structure probing using high-throughput sequencing. Nature Methods. 7(12). 995–1001. 250 indexed citations
17.
Bradley, Robert K., et al.. (2009). Evolutionary Modeling and Prediction of Non-Coding RNAs in Drosophila. PLoS ONE. 4(8). e6478–e6478. 11 indexed citations
18.
Skinner, Mitchell E., Andrew Uzilov, Lincoln Stein, Chris Mungall, & Ian Holmes. (2009). JBrowse: A next-generation genome browser. Genome Research. 19(9). 1630–1638. 536 indexed citations breakdown →
19.
Uzilov, Andrew, et al.. (2006). Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change. BMC Bioinformatics. 7(1). 173–173. 148 indexed citations
20.
Uzilov, Andrew, et al.. (2006). XRate: a fast prototyping, training and annotation tool for phylo-grammars. BMC Bioinformatics. 7(1). 428–428. 44 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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