Yumeng Mao

2.0k total citations
40 papers, 1.6k citations indexed

About

Yumeng Mao is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Yumeng Mao has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 17 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Yumeng Mao's work include Immune Cell Function and Interaction (16 papers), Immune cells in cancer (16 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Yumeng Mao is often cited by papers focused on Immune Cell Function and Interaction (16 papers), Immune cells in cancer (16 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Yumeng Mao collaborates with scholars based in Sweden, Germany and China. Yumeng Mao's co-authors include Rolf Kiessling, Isabel Poschke, Andreas Lundqvist, Giuseppe Masucci, Dhifaf Sarhan, Jana de Boniface, Barbara Seliger, André Steven, Johan Hansson and Erik Wennerberg and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Yumeng Mao

38 papers receiving 1.6k citations

Peers

Yumeng Mao
Yuxin Lin China
Herui Wang United States
Sujuan Guo China
Aida Karachi United States
Darya Alizadeh United States
Hongling Huang China
Yihui Song China
Yuliang Ran China
Yuxin Lin China
Yumeng Mao
Citations per year, relative to Yumeng Mao Yumeng Mao (= 1×) peers Yuxin Lin

Countries citing papers authored by Yumeng Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yumeng Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yumeng Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yumeng Mao. A scholar is included among the top collaborators of Yumeng 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 Yumeng Mao. Yumeng Mao 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.
Guan, Jitian, et al.. (2025). Mapping Resting‐State Brain Functional Specialization to Neurotransmitter Profiles in Autism Spectrum Disorder. CNS Neuroscience & Therapeutics. 31(11). e70666–e70666.
2.
Nagarajan, Divya, David Corujo, Thale Kristin Olsen, et al.. (2024). Epigenetic regulation of cell state by H2AFY governs immunogenicity in high-risk neuroblastoma. Journal of Clinical Investigation. 134(21). 2 indexed citations
3.
Nagarajan, Divya, et al.. (2024). Loss of NEDD8 in cancer cells causes vulnerability to immune checkpoint blockade in triple-negative breast cancer. Nature Communications. 15(1). 3581–3581. 3 indexed citations
4.
Mao, Yumeng, et al.. (2024). Multimodal data fusion reveals functional and neurochemical correlates of Parkinson's disease. Neurobiology of Disease. 197. 106527–106527. 4 indexed citations
5.
Nagarajan, Divya, et al.. (2023). IL-1 receptor–associated kinase-3 acts as an immune checkpoint in myeloid cells to limit cancer immunotherapy. Journal of Clinical Investigation. 133(7). 14 indexed citations
6.
Li, Wei, Yumeng Mao, Zhilin Liu, et al.. (2023). Chelated Ion‐Exchange Strategy toward BiOCl Mesoporous Single‐Crystalline Nanosheets for Boosting Photocatalytic Selective Aromatic Alcohols Oxidation. Advanced Materials. 35(18). e2300396–e2300396. 74 indexed citations
7.
O’Donovan, Daniel H., David Baker, Giovanni Ciotta, et al.. (2023). Discovery and characterisation of quinazolines and 8-Azaquinazolines as NLRP3 agonists with oral bioavailability in mice. Bioorganic & Medicinal Chemistry Letters. 96. 129518–129518. 1 indexed citations
8.
Chen, Ziqing, Ying Yang, Shiyong Neo, et al.. (2021). Phosphodiesterase 4A confers resistance to PGE2‐mediated suppression in CD25 + /CD54 + NK cells. EMBO Reports. 22(3). e51329–e51329. 8 indexed citations
9.
Natoli, Marina, et al.. (2020). Human ovarian cancer intrinsic mechanisms regulate lymphocyte activation in response to immune checkpoint blockade. Cancer Immunology Immunotherapy. 69(8). 1391–1401. 18 indexed citations
10.
Mao, Yumeng, Nina Eißler, Katarina Le Blanc, et al.. (2016). Targeting Suppressive Myeloid Cells Potentiates Checkpoint Inhibitors to Control Spontaneous Neuroblastoma. Clinical Cancer Research. 22(15). 3849–3859. 107 indexed citations
11.
Lundqvist, Andreas, Yumeng Mao, Xiaonan Zhang, et al.. (2015). Interleukin-15 potentiates human natural killer cells to resist tumor-induced suppression through mTOR-regulated metabolic control. Journal for ImmunoTherapy of Cancer. 3(S2). 1 indexed citations
12.
Kiessling, Rolf, Yumeng Mao, & Yago Pico de Coaña. (2014). Myeloid Suppressors Decrease Melanoma Survival by Abating Tumor-Fighting T Cells. Clinical Cancer Research. 20(6). 1401–1403. 3 indexed citations
13.
Mao, Yumeng, Dhifaf Sarhan, André Steven, et al.. (2014). Inhibition of Tumor-Derived Prostaglandin-E2 Blocks the Induction of Myeloid-Derived Suppressor Cells and Recovers Natural Killer Cell Activity. Clinical Cancer Research. 20(15). 4096–4106. 225 indexed citations
14.
Coaña, Yago Pico de, Isabel Poschke, Giusy Gentilcore, et al.. (2013). Ipilimumab Treatment Results in an Early Decrease in the Frequency of Circulating Granulocytic Myeloid-Derived Suppressor Cells as well as Their Arginase1 Production. Cancer Immunology Research. 1(3). 158–162. 110 indexed citations
15.
Mao, Yumeng, Isabel Poschke, Erik Wennerberg, et al.. (2013). Melanoma-Educated CD14+ Cells Acquire a Myeloid-Derived Suppressor Cell Phenotype through COX-2–Dependent Mechanisms. Cancer Research. 73(13). 3877–3887. 157 indexed citations
16.
Boniface, Jana de, et al.. (2012). Expression patterns of the immunomodulatory enzyme arginase 1 in blood, lymph nodes and tumor tissue of early-stage breast cancer patients. OncoImmunology. 1(8). 1305–1312. 62 indexed citations
17.
Kiessling, Rolf, Riki Okita, Dimitrios Mougiakakos, et al.. (2012). Opposing consequences of signaling through EGF family members. OncoImmunology. 1(7). 1200–1201. 2 indexed citations
18.
Okita, Riki, Dimitrios Mougiakakos, Takashi Ando, et al.. (2012). HER2/HER3 Signaling Regulates NK Cell-Mediated Cytotoxicity via MHC Class I Chain-Related Molecule A and B Expression in Human Breast Cancer Cell Lines. The Journal of Immunology. 188(5). 2136–2145. 50 indexed citations
19.
Boniface, Jana de, Isabel Poschke, Yumeng Mao, & Rolf Kiessling. (2011). Tumor‐dependent down‐regulation of the ζ‐chain in T‐cells is detectable in early breast cancer and correlates with immune cell function. International Journal of Cancer. 131(1). 129–139. 28 indexed citations
20.
Poschke, Isabel, Yumeng Mao, Lars Adamson, et al.. (2011). Myeloid-derived suppressor cells impair the quality of dendritic cell vaccines. Cancer Immunology Immunotherapy. 61(6). 827–838. 109 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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