Yulia Newton

25.8k total citations
14 papers, 550 citations indexed

About

Yulia Newton is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yulia Newton has authored 14 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Yulia Newton's work include RNA modifications and cancer (3 papers), Molecular Biology Techniques and Applications (2 papers) and Head and Neck Cancer Studies (2 papers). Yulia Newton is often cited by papers focused on RNA modifications and cancer (3 papers), Molecular Biology Techniques and Applications (2 papers) and Head and Neck Cancer Studies (2 papers). Yulia Newton collaborates with scholars based in United States and Singapore. Yulia Newton's co-authors include Huntington F. Willard, Joshua M. Stuart, Karen H. Miga, Nicolas Altemose, W. James Kent, Miten Jain, B. Smith, Vladislav Uzunangelov, Owen N. Witte and Kiley Graim and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Yulia Newton

12 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulia Newton United States 8 371 171 123 118 115 14 550
Krista Meyer United States 10 582 1.6× 86 0.5× 76 0.6× 250 2.1× 67 0.6× 20 808
Armann Andaya United States 13 330 0.9× 90 0.5× 93 0.8× 43 0.4× 30 0.3× 20 504
Wesley J. Errington United States 8 514 1.4× 81 0.5× 77 0.6× 104 0.9× 17 0.1× 8 586
Verónica Torrano Spain 15 645 1.7× 84 0.5× 233 1.9× 117 1.0× 16 0.1× 20 772
Qing Xiong China 14 417 1.1× 83 0.5× 107 0.9× 150 1.3× 140 1.2× 26 684
Angelo Gámez‐Pozo Spain 15 427 1.2× 151 0.9× 257 2.1× 169 1.4× 12 0.1× 51 718
Diego Alonso‐López Spain 9 351 0.9× 56 0.3× 77 0.6× 92 0.8× 19 0.2× 14 529
Kristen Gehlhaus United States 10 466 1.3× 56 0.3× 186 1.5× 203 1.7× 32 0.3× 11 662
Suzan Stelloo Netherlands 13 389 1.0× 297 1.7× 148 1.2× 141 1.2× 10 0.1× 23 603
Chandra Sekhar Reddy Chilamakuri United Kingdom 10 327 0.9× 44 0.3× 120 1.0× 95 0.8× 18 0.2× 12 478

Countries citing papers authored by Yulia Newton

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Newton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulia Newton

This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Newton. A scholar is included among the top collaborators of Yulia Newton 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 Yulia Newton. Yulia Newton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Shen, Shu Yi, Iulia Cirlan, Justin Burgener, et al.. (2024). Abstract 5024: Analytical performance of a genome-wide methylome enrichment platform to detect minimal residual disease from plasma-derived cell-free DNA. Cancer Research. 84(6_Supplement). 5024–5024.
2.
Yau, Christina, Christopher K. Wong, Yulia Newton, et al.. (2020). A risk-associated Active transcriptome phenotype expressed by histologically normal human breast tissue and linked to a pro-tumorigenic adipocyte population. Breast Cancer Research. 22(1). 81–81. 12 indexed citations
3.
Newton, Yulia, Andrew J. Sedgewick, Luis Cisneros, et al.. (2020). Large scale, robust, and accurate whole transcriptome profiling from clinical formalin-fixed paraffin-embedded samples. Scientific Reports. 10(1). 17597–17597. 20 indexed citations
4.
Drusbosky, Leylah, Chaitali Nangia, Andrew Nguyen, et al.. (2020). Complete response to avelumab and IL-15 superagonist N-803 with Abraxane in Merkel cell carcinoma: a case study. Journal for ImmunoTherapy of Cancer. 8(2). e001098–e001098. 9 indexed citations
5.
Newton, Yulia, et al.. (2019). Abstract 2533: The genomic and transcriptomic landscape of left versus right sided breast cancer in 410 cases. Cancer Research. 79(13_Supplement). 2533–2533. 1 indexed citations
6.
Thyparambil, Sheeno, Yeoun Jin Kim, Andrew G. Chambers, et al.. (2018). Abstract 778: Potential drug targets for adenoid cystic carcinoma elucidated by proteogenomic analysis. Cancer Research. 78(13_Supplement). 778–778. 2 indexed citations
7.
Tan, Iain Beehuat, Andrew Nguyen, Charles Vaske, et al.. (2018). RNA-Seq analyses of immune cell-type enrichments in 158 Asian colorectal cancers (CRCs).. Journal of Clinical Oncology. 36(15_suppl). e15597–e15597.
8.
Thyparambil, Sheeno, Yeoun Jin Kim, Andrew G. Chambers, et al.. (2018). Comprehensive proteomic and genomic profiling to identify therapeutic targets in adenoid cystic carcinoma.. Journal of Clinical Oncology. 36(15_suppl). 6053–6053. 2 indexed citations
9.
Newton, Yulia, Adam M. Novak, Teresa Swatloski, et al.. (2017). TumorMap: Exploring the Molecular Similarities of Cancer Samples in an Interactive Portal. Cancer Research. 77(21). e111–e114. 41 indexed citations
10.
Graim, Kiley, Achal S. Achrol, Evan Paull, et al.. (2017). Revealing cancer subtypes with higher-order correlations applied to imaging and omics data. BMC Medical Genomics. 10(1). 20–20. 10 indexed citations
11.
Drake, Justin M., Evan Paull, Nicholas A. Graham, et al.. (2016). Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer. Cell. 166(4). 1041–1054. 149 indexed citations
12.
Morozova, Olena, Yulia Newton, Melissa Cline, et al.. (2015). Abstract LB-212: Treehouse Childhood Cancer Project: a resource for sharing and multiple cohort analysis of pediatric cancer genomics data. Cancer Research. 75(15_Supplement). LB–212. 1 indexed citations
13.
Smith, B., Artem Sokolov, Vladislav Uzunangelov, et al.. (2015). A basal stem cell signature identifies aggressive prostate cancer phenotypes. Proceedings of the National Academy of Sciences. 112(47). E6544–52. 144 indexed citations
14.
Miga, Karen H., Yulia Newton, Miten Jain, et al.. (2014). Centromere reference models for human chromosomes X and Y satellite arrays. Genome Research. 24(4). 697–707. 159 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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