Wayne Miles

1.2k total citations
34 papers, 767 citations indexed

About

Wayne Miles is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Wayne Miles has authored 34 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Oncology and 7 papers in Immunology. Recurrent topics in Wayne Miles's work include RNA modifications and cancer (8 papers), Cancer-related Molecular Pathways (7 papers) and interferon and immune responses (4 papers). Wayne Miles is often cited by papers focused on RNA modifications and cancer (8 papers), Cancer-related Molecular Pathways (7 papers) and interferon and immune responses (4 papers). Wayne Miles collaborates with scholars based in United States, India and United Kingdom. Wayne Miles's co-authors include Nicholas J. Dyson, James A. Walker, Katrin Tschöp, Jun‐Yuan Ji, Anabel Herr, Chenyu Lin, Paolo Provero, Jalal Siddiqui, Eshan Khan and Li-Ching Chen and has published in prestigious journals such as Chemical Reviews, Nucleic Acids Research and Nature Communications.

In The Last Decade

Wayne Miles

32 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne Miles United States 15 582 190 151 86 62 34 767
Shalini Iyer United Kingdom 14 480 0.8× 181 1.0× 179 1.2× 76 0.9× 57 0.9× 24 760
Kasey L. Couts United States 14 420 0.7× 117 0.6× 308 2.0× 214 2.5× 71 1.1× 29 699
Daniel Weekes United Kingdom 10 789 1.4× 104 0.5× 339 2.2× 73 0.8× 69 1.1× 14 889
Suping Ren United States 9 544 0.9× 166 0.9× 251 1.7× 150 1.7× 69 1.1× 21 745
Florian Wegwitz Germany 21 812 1.4× 176 0.9× 287 1.9× 118 1.4× 75 1.2× 44 1.0k
Barbie Taylor‐Harding United States 14 616 1.1× 177 0.9× 420 2.8× 64 0.7× 128 2.1× 16 936
Baoli Hu China 14 774 1.3× 328 1.7× 369 2.4× 81 0.9× 59 1.0× 36 1.0k
Anja Deutzmann United States 9 608 1.0× 189 1.0× 230 1.5× 143 1.7× 61 1.0× 15 860
Luzviminda Feeney United States 12 825 1.4× 304 1.6× 306 2.0× 48 0.6× 76 1.2× 13 994
Sven Fraterman Germany 11 973 1.7× 84 0.4× 131 0.9× 55 0.6× 87 1.4× 11 1.2k

Countries citing papers authored by Wayne Miles

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Miles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Miles

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne Miles. A scholar is included among the top collaborators of Wayne Miles 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 Wayne Miles. Wayne Miles 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.
Khan, Eshan, Stephanie J. Bouley, Jalal Siddiqui, et al.. (2025). Proteomic Profiling of Medullary Thyroid Cancer Identifies CAPN1 as a Key Regulator of NF1 and RET Fueled Growth. Thyroid. 35(2). 177–187. 2 indexed citations
2.
Khan, Misbah, et al.. (2024). Riluzole Enhancing Anti-PD-1 Efficacy by Activating cGAS/STING Signaling in Colorectal Cancer. Molecular Cancer Therapeutics. 24(1). 131–140. 4 indexed citations
3.
Ye, Zhen, Ryan Austin, Bei Liu, et al.. (2024). Antagonistic roles of cGAS/STING signaling in colorectal cancer chemotherapy. Frontiers in Oncology. 14. 1441935–1441935. 7 indexed citations
4.
Wei, Jin, et al.. (2023). SIX4 Controls Anti-PD-1 Efficacy by Regulating STING Expression. Cancer Research Communications. 3(11). 2412–2419. 6 indexed citations
5.
Capece, Marina, Anna Tessari, Gian Luca Rampioni Vinciguerra, et al.. (2023). A novel auxin-inducible degron system for rapid, cell cycle-specific targeted proteolysis. Cell Death and Differentiation. 30(9). 2078–2091. 3 indexed citations
6.
Khan, Eshan, Misbah Khan, Jalal Siddiqui, et al.. (2022). PUMILIO competes with AUF1 to control DICER1 RNA levels and miRNA processing. Nucleic Acids Research. 50(12). 7048–7066. 5 indexed citations
7.
Santiago-Sánchez, Ginette S., Rohit Sharma, Abiel Roche-Lima, et al.. (2022). Reduced RBPMS Levels Promote Cell Proliferation and Decrease Cisplatin Sensitivity in Ovarian Cancer Cells. International Journal of Molecular Sciences. 23(1). 535–535. 7 indexed citations
8.
Mishra, Sanjay, Manish Charan, Pranay Agarwal, et al.. (2022). cPLA2 blockade attenuates S100A7-mediated breast tumorigenicity by inhibiting the immunosuppressive tumor microenvironment. Journal of Experimental & Clinical Cancer Research. 41(1). 54–54. 34 indexed citations
9.
Siddiqui, Jalal, Brandon Nicolay, Chenyu Lin, et al.. (2021). Integrated multi-omics analysis of RB-loss identifies widespread cellular programming and synthetic weaknesses. Communications Biology. 4(1). 977–977. 2 indexed citations
10.
Siddiqui, Jalal & Wayne Miles. (2021). RNA editing signatures identify melanoma patients who respond to Pembrolizumab or Nivolumab treatment. Translational Oncology. 14(11). 101197–101197. 3 indexed citations
11.
12.
Lin, Chenyu & Wayne Miles. (2019). Beyond CLIP: advances and opportunities to measure RBP–RNA and RNA–RNA interactions. Nucleic Acids Research. 47(11). 5490–5501. 45 indexed citations
13.
Montero, Joan, Cécile Gstalder, Daniel J. Kim, et al.. (2019). Destabilization of NOXA mRNA as a common resistance mechanism to targeted therapies. Nature Communications. 10(1). 5157–5157. 42 indexed citations
14.
Sahoo, Swagatika, R. Ranjith Kumar, Brandon Nicolay, et al.. (2018). Metabolite systems profiling identifies exploitable weaknesses in retinoblastoma. FEBS Letters. 593(1). 23–41. 10 indexed citations
15.
Saji, Motoyasu, Lianbo Yu, Xiaoli Zhang, et al.. (2018). Transcriptional targeting of oncogene addiction in medullary thyroid cancer. JCI Insight. 3(16). 20 indexed citations
16.
Miles, Wayne, Antonio Lembo, Angela Volorio, et al.. (2016). Alternative Polyadenylation in Triple-Negative Breast Tumors Allows NRAS and c-JUN to Bypass PUMILIO Posttranscriptional Regulation. Cancer Research. 76(24). 7231–7241. 44 indexed citations
17.
Miles, Wayne & Nicholas J. Dyson. (2014). Pumilio and nanos RNA-binding proteins counterbalance the transcriptional consequences of RB1 inactivation. Molecular & Cellular Oncology. 1(4). e968074–e968074. 2 indexed citations
18.
Miles, Wayne, Michael Korenjak, Lyra Griffiths, et al.. (2014). Post‐transcriptional gene expression control by NANOS is up‐regulated and functionally important in pR b‐deficient cells. The EMBO Journal. 33(19). 2201–2215. 22 indexed citations
19.
Miles, Wayne, Katrin Tschöp, Anabel Herr, Jun‐Yuan Ji, & Nicholas J. Dyson. (2012). Pumilio facilitates miRNA regulation of the E2F3 oncogene. Genes & Development. 26(4). 356–368. 120 indexed citations
20.
Miles, Wayne, Ellis Jaffray, Susan G. Campbell, et al.. (2008). Medea SUMOylation restricts the signaling range of the Dpp morphogen in the Drosophila embryo. Genes & Development. 22(18). 2578–2590. 40 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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