Charlene Mao

2.9k total citations · 1 hit paper
18 papers, 2.1k citations indexed

About

Charlene Mao is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Charlene Mao has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Charlene Mao's work include Immune Cell Function and Interaction (9 papers), Chronic Lymphocytic Leukemia Research (3 papers) and T-cell and B-cell Immunology (3 papers). Charlene Mao is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Chronic Lymphocytic Leukemia Research (3 papers) and T-cell and B-cell Immunology (3 papers). Charlene Mao collaborates with scholars based in United States, Denmark and Ethiopia. Charlene Mao's co-authors include Michael A. Caligiuri, Carlo M. Croce, Gerard J. Nuovo, Eugenio Gaudio, Melissa Crawford, Alessio Paone, Francesca Lovat, Hansjüerg Alder, Paolo Fadda and Muller Fabbri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Charlene Mao

17 papers receiving 2.1k citations

Hit Papers

MicroRNAs bind to Toll-like receptors to induce prometast... 2012 2026 2016 2021 2012 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MicroRNAs bind to Toll-like receptors to induce prometastatic inflammatory response
    2012 1.3k citations Muller Fabbri, Alessio Paone et al. Proceedings of the National Academy of Sciences profile →

Peers

Charlene Mao
Xinfang Huang China
Haibo Zhou China
Xiaobing Luo China
Susan Kohlhaas United Kingdom
Rédouane Rouas Belgium
Malgorzata Czystowska United States
Yvette Garcia-Flores United States
Federica Calore United States
Guizhen Sun China
Peter Janson Sweden
Xinfang Huang China
Charlene Mao
Citations per year, relative to Charlene Mao Charlene Mao (= 1×) peers Xinfang Huang

Countries citing papers authored by Charlene Mao

Since Specialization
Citations

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

Fields of papers citing papers by Charlene Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlene Mao

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

All Works

18 of 18 papers shown
1.
Mao, Charlene, Peggy Scherle, Neha Bhagwat, et al.. (2024). Targeting PRMT5 in Primary Hemophagocytic Lymphohistiocytosis: A Novel Therapeutic Approach Using a Perforin-Deficient Mouse Model. Blood. 144(Supplement 1). 809–809.
2.
Mao, Charlene, et al.. (2024). Siglec-6 as a therapeutic target for cell migration and adhesion in chronic lymphocytic leukemia. Nature Communications. 15(1). 5180–5180. 5 indexed citations
3.
Thangavadivel, Shanmugapriya, Charlene Mao, Meixiao Long, et al.. (2023). T Cell Dysfunction and Exhaustion in Patients with CLL: The Impact of Long Term Ibrutinib Treatment. Blood. 142(Supplement 1). 4631–4631. 2 indexed citations
4.
Shindiapina, Polina, Charlene Mao, Elshafa H. Ahmed, et al.. (2022). PRMT5 Inhibition Reduces Autoinflammation in a Murine Model of Secondary Hemophagocytic Lymphohistiocytosis. Blood. 140(Supplement 1). 36–37. 1 indexed citations
5.
Ahmed, Elshafa H., Eric Brooks, Charlene Mao, et al.. (2021). Targeted Delivery of BZLF1 to DEC205 Drives EBV-Protective Immunity in a Spontaneous Model of EBV-Driven Lymphoproliferative Disease. Vaccines. 9(6). 555–555. 2 indexed citations
6.
Ahmed, Elshafa H., Eric Brooks, Charlene Mao, et al.. (2018). BZLF1-DEC205 Fusion Protein Enhances EBV-Protective Immunity in a Spontaneous Model of EBV-Driven Lymphoproliferative Disease. Blood. 132(Supplement 1). 342–342. 1 indexed citations
7.
Victor, Aaron, Christoph Weigel, Steven D. Scoville, et al.. (2017). Epigenetic and Posttranscriptional Regulation of CD16 Expression during Human NK Cell Development. The Journal of Immunology. 200(2). 565–572. 27 indexed citations
8.
Srivastava, Amit Kumar, Chunhua Han, Ran Zhao, et al.. (2015). Enhanced expression of DNA polymerase eta contributes to cisplatin resistance of ovarian cancer stem cells. Proceedings of the National Academy of Sciences. 112(14). 4411–4416. 153 indexed citations
9.
Hughes, Tiffany, Edward L. Briercheck, Aharon G. Freud, et al.. (2014). The Transcription Factor AHR Prevents the Differentiation of a Stage 3 Innate Lymphoid Cell Subset to Natural Killer Cells. Cell Reports. 8(1). 150–162. 80 indexed citations
10.
Mundy-Bosse, Bethany L., Charlene Mao, Elshafa H. Ahmed, et al.. (2014). Acute Myeloid Leukemia Alters Natural Killer Cell Maturation and Functional Activation. Blood. 124(21). 754–754. 3 indexed citations
11.
Trotta, Rossana, Li Chen, Stefan Costinean, et al.. (2013). Overexpression of miR-155 causes expansion, arrest in terminal differentiation and functional activation of mouse natural killer cells. Blood. 121(16). 3126–3134. 50 indexed citations
12.
Fabbri, Muller, Alessio Paone, Federica Calore, et al.. (2012). MicroRNAs bind to Toll-like receptors to induce prometastatic inflammatory response. Proceedings of the National Academy of Sciences. 109(31). E2110–6. 1284 indexed citations breakdown →
13.
Zorko, Nicholas A., Kelsie M. Bernot, Susan P. Whitman, et al.. (2012). Mll partial tandem duplication and Flt3 internal tandem duplication in a double knock-in mouse recapitulates features of counterpart human acute myeloid leukemias. Blood. 120(5). 1130–1136. 48 indexed citations
14.
Trotta, Rossana, Li Chen, David Ciarlariello, et al.. (2012). miR-155 regulates IFN-γ production in natural killer cells. Blood. 119(15). 3478–3485. 170 indexed citations
15.
Hughes, Tiffany, Brian Becknell, Aharon G. Freud, et al.. (2010). Interleukin-1β Selectively Expands and Sustains Interleukin-22+ Immature Human Natural Killer Cells in Secondary Lymphoid Tissue. Immunity. 32(6). 803–814. 165 indexed citations
16.
17.
Yu, Li‐Rong, Jeffrey VanDeusen, Brian Becknell, et al.. (2005). Global assessment of promoter methylation in a mouse model of cancer identifies ID4 as a putative tumor-suppressor gene in human leukemia. Nature Genetics. 37(3). 265–274. 129 indexed citations
18.
Yu, Li, Chunhui Liu, Kristi L. Bennett, et al.. (2004). A NotI–EcoRV promoter library for studies of genetic and epigenetic alterations in mouse models of human malignancies. Genomics. 84(4). 647–660. 20 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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