Chelsea Mayoh

3.9k total citations · 1 hit paper
59 papers, 1.1k citations indexed

About

Chelsea Mayoh is a scholar working on Molecular Biology, Neurology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chelsea Mayoh has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Neurology and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chelsea Mayoh's work include Neuroblastoma Research and Treatments (18 papers), Acute Lymphoblastic Leukemia research (15 papers) and Acute Myeloid Leukemia Research (10 papers). Chelsea Mayoh is often cited by papers focused on Neuroblastoma Research and Treatments (18 papers), Acute Lymphoblastic Leukemia research (15 papers) and Acute Myeloid Leukemia Research (10 papers). Chelsea Mayoh collaborates with scholars based in Australia, United States and Belgium. Chelsea Mayoh's co-authors include Michelle Haber, Glenn M. Marshall, Maria Kavallaris, Richard B. Lock, Joseph A. Trapani, Murray D. Norris, Federica Saletta, Sylvie Shen, Luigi Lerra and Federico M. Giorgi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Chelsea Mayoh

53 papers receiving 1.1k citations

Hit Papers

Intratumoral Copper Modulates PD-L1 Expression and Influe... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Chelsea Mayoh
Donald W. Coulter United States
Carmen M. Barnés United States
Shweta Joshi United States
Mack Mabry United States
Amy Rose United States
Kevin McDonnell United States
Cezary Swider United States
Donald W. Coulter United States
Chelsea Mayoh
Citations per year, relative to Chelsea Mayoh Chelsea Mayoh (= 1×) peers Donald W. Coulter

Countries citing papers authored by Chelsea Mayoh

Since Specialization
Citations

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

Fields of papers citing papers by Chelsea Mayoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chelsea Mayoh

This figure shows the co-authorship network connecting the top 25 collaborators of Chelsea Mayoh. A scholar is included among the top collaborators of Chelsea Mayoh 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 Chelsea Mayoh. Chelsea Mayoh 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.
Atkinson, Caroline, Alvin Kamili, Federica Saletta, et al.. (2025). P-glycoprotein as a chemotherapy resistance mechanism and biomarker of poor response in high-risk neuroblastoma. SHILAP Revista de lepidopterología. 6. 100478–100478.
2.
Connerty, Patrick, et al.. (2025). Immune‐deficient MISTRG mice support expansion of leukaemia‐initiating cells in xenograft models of paediatric acute myeloid leukaemia. British Journal of Haematology. 206(4). 1092–1096. 1 indexed citations
3.
Tremblay, Cédric S., Feng Yan, Jacqueline Boyle, et al.. (2025). Targeting LMO2-induced autocrine FLT3 signaling to overcome chemoresistance in early T-cell precursor acute lymphoblastic leukemia. Leukemia. 39(3). 577–589. 2 indexed citations
4.
Dolman, M. Emmy M., Dannielle Upton, Jie Liu, et al.. (2024). DIPG-50. TARGETING VULNERABILITIES IN PAEDIATRIC DIFFUSE MIDLINE GLIOMAS: LEVERAGING PLK1 INHIBITION TO EXPLOIT RAS/PI3K PATHWAY DEPENDENCY. Neuro-Oncology. 26(Supplement_4). 0–0.
5.
Li, Wenyan, Sajad Razavi Bazaz, Chelsea Mayoh, & Robert Salomon. (2024). Analytical Workflows for Single‐Cell Multiomic Data Using the BD Rhapsody Platform. Current Protocols. 4(2). e963–e963. 1 indexed citations
6.
Massudi, Hassina, Jessica K. Holien, Jessica Koach, et al.. (2023). Inhibitors of the Oncogenic PA2G4-MYCN Protein-Protein Interface. Cancers. 15(6). 1822–1822.
7.
Mayoh, Chelsea, Katleen De Preter, Frank Speleman, et al.. (2023). MYCN and SNRPD3 cooperate to maintain a balance of alternative splicing events that drives neuroblastoma progression. Oncogene. 43(5). 363–377. 5 indexed citations
8.
D’Silva, Arlene, et al.. (2023). Identification of Novel CSF-Derived miRNAs in Treated Paediatric Onset Spinal Muscular Atrophy: An Exploratory Study. Pharmaceutics. 15(1). 170–170. 13 indexed citations
9.
Nagy, Zsuzsanna, William K. Chang, Chelsea Mayoh, et al.. (2021). An ALYREF-MYCN coactivator complex drives neuroblastoma tumorigenesis through effects on USP3 and MYCN stability. Nature Communications. 12(1). 1881–1881. 54 indexed citations
10.
Khan, Aaminah, Laura D. Gamble, Dannielle Upton, et al.. (2021). Dual targeting of polyamine synthesis and uptake in diffuse intrinsic pontine gliomas. Nature Communications. 12(1). 971–971. 84 indexed citations
11.
Zhong, Ling, Chelsea Mayoh, Murray D. Norris, et al.. (2020). Targeting TSLP-Induced Tyrosine Kinase Signaling Pathways in CRLF2 -Rearranged Ph-like ALL. Molecular Cancer Research. 18(12). 1767–1776. 2 indexed citations
12.
Gao, Jixuan, MoonSun Jung, Chelsea Mayoh, et al.. (2020). Suppression of ABCE1-Mediated mRNA Translation Limits N-MYC–Driven Cancer Progression. Cancer Research. 80(17). 3706–3718. 18 indexed citations
13.
Khuong-Quang, Dong-Anh, Lauren M. Brown, Marie Wong, et al.. (2020). Recurrent SPECC1L–NTRK fusions in pediatric sarcoma and brain tumors. Molecular Case Studies. 6(6). a005710–a005710. 5 indexed citations
14.
Voli, Florida, Emanuele Valli, Luigi Lerra, et al.. (2020). Intratumoral Copper Modulates PD-L1 Expression and Influences Tumor Immune Evasion. Cancer Research. 80(19). 4129–4144. 280 indexed citations breakdown →
15.
Kamili, Alvin, Andrew J. Gifford, Nancy Li, et al.. (2020). Accelerating development of high-risk neuroblastoma patient-derived xenograft models for preclinical testing and personalised therapy. British Journal of Cancer. 122(5). 680–691. 32 indexed citations
16.
Sutton, Selina K., Belamy B. Cheung, Hassina Massudi, et al.. (2019). Heterozygous loss of keratinocyte TRIM16 expression increases melanocytic cell lesions and lymph node metastasis. Journal of Cancer Research and Clinical Oncology. 145(9). 2241–2250. 10 indexed citations
17.
McCalmont, Hannah, Kathryn Evans, Chelsea Mayoh, et al.. (2019). Preclinical activity of the antibody‐drug conjugate denintuzumab mafodotin (SGN‐CD19A) against pediatric acute lymphoblastic leukemia xenografts. Pediatric Blood & Cancer. 66(8). e27765–e27765. 22 indexed citations
18.
Carter, Daniel R., Bing Liu, Chelsea Mayoh, et al.. (2018). Network Modeling of microRNA–mRNA Interactions in Neuroblastoma Tumorigenesis Identifies miR-204 as a Direct Inhibitor of MYCN. Cancer Research. 78(12). 3122–3134. 45 indexed citations
19.
Jing, Duohui, Yizhou Huang, Xiaoyun Liu, et al.. (2018). Lymphocyte-Specific Chromatin Accessibility Pre-determines Glucocorticoid Resistance in Acute Lymphoblastic Leukemia. Cancer Cell. 34(6). 906–921.e8. 48 indexed citations
20.
Ho, Nicholas, Hui Peng, Chelsea Mayoh, et al.. (2018). Delineation of the frequency and boundary of chromosomal copy number variations in paediatric neuroblastoma. Cell Cycle. 17(6). 749–758. 12 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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