Davide Mangani

1.0k total citations
19 papers, 625 citations indexed

About

Davide Mangani is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Davide Mangani has authored 19 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 11 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Davide Mangani's work include Cancer Immunotherapy and Biomarkers (9 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (6 papers). Davide Mangani is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (6 papers). Davide Mangani collaborates with scholars based in United States, Switzerland and Italy. Davide Mangani's co-authors include Ana C. Anderson, Giulia Escobar, Michael Weller, Patrick Roth, Katherine Tooley, Vijay K. Kuchroo, Karen O. Dixon, Orit Rozenblatt–Rosen, Asaf Madi and Nandini Acharya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Davide Mangani

19 papers receiving 620 citations

Peers

Davide Mangani

IMMUN

ONCOL

GENET

Nivedita M. Ratnam United States

Jiawen Qian China

Xiaobing Jiang China

Arianna Capucetti Italy

Sara Lamorte Canada

Carmen M. Anadon United States

Hannah H. Yan United States

Mahmoud S. Alghamri United States

Heleen Roose Belgium

Laurent Catala France

Nivedita M. Ratnam United States

Davide Mangani

304 ×1.0

IMMUN

280 ×1.1

ONCOL

188 ×0.9

79 ×0.6

172 ×2.0

GENET

Citations per year, relative to Davide Mangani Davide Mangani (= 1×) peers Nivedita M. Ratnam

Countries citing papers authored by Davide Mangani

Since Specialization

Citations

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

Fields of papers citing papers by Davide Mangani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Mangani

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

All Works

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19 of 19 papers shown

Mertens, R. Tyler, Aditya Misra, Peng Xiao, et al.. (2024). A metabolic switch orchestrated by IL-18 and the cyclic dinucleotide cGAMP programs intestinal tolerance. Immunity. 57(9). 2077–2094.e12. 10 indexed citations

Tooley, Katherine, S. Harsha Krovi, Davide Mangani, et al.. (2024). Pan-cancer mapping of single CD8+ T cell profiles reveals a TCF1:CXCR6 axis regulating CD28 co-stimulation and anti-tumor immunity. Cell Reports Medicine. 5(7). 101640–101640. 9 indexed citations

Mangani, Davide, Ayshwarya Subramanian, Linglin Huang, et al.. (2024). Transcription factor TCF1 binds to RORγt and orchestrates a regulatory network that determines homeostatic Th17 cell state. Immunity. 57(11). 2565–2582.e6. 10 indexed citations

Cortellini, Alessio, Davide Mangani, Ana C. Anderson, et al.. (2024). Early opioid exposure (EOE) and impaired efficacy in patients with advanced NSCLC treated with PD-L1 inhibition: A pooled post hoc analysis of the POPLAR and OAK trials.. Journal of Clinical Oncology. 42(16_suppl). 2607–2607. 1 indexed citations

Escobar, Giulia, Katherine Tooley, Linglin Huang, et al.. (2023). Tumor immunogenicity dictates reliance on TCF1 in CD8+ T cells for response to immunotherapy. Cancer Cell. 41(9). 1662–1679.e7. 39 indexed citations

Mangani, Davide, Dandan Yang, & Ana C. Anderson. (2023). Learning from the nexus of autoimmunity and cancer. Immunity. 56(2). 256–271. 18 indexed citations

Jost, Tanja Rezzonico, Davide Mangani, Andrea Raimondi, et al.. (2023). CD304+ adipose tissue–derived mesenchymal stem cell abundance in autologous fat grafts highly correlates with improvement of localized pain syndromes. Pain. 165(4). 811–819. 2 indexed citations

Moreira, Thaís G., Christian Gauthier, Anu Paul, et al.. (2023). Nasal administration of anti-CD3 mAb (Foralumab) downregulates NKG7 and increases TGFB1 and GIMAP7 expression in T cells in subjects with COVID-19. Proceedings of the National Academy of Sciences. 120(11). e2220272120–e2220272120. 12 indexed citations

Escobar, Giulia, Katherine Tooley, Chang Xue, et al.. (2022). 514 Tumor context dictates reliance on TCF1 for response to immunotherapy. Regular and Young Investigator Award Abstracts. A539–A539. 1 indexed citations

10.

Mangani, Davide, Meromit Singer, Ruitong Li, et al.. (2022). 964 Dynamic immune landscapes during melanoma progression reveal a role for endogenous opioids in driving T cell dysfunction. Regular and Young Investigator Award Abstracts. A1005–A1005. 1 indexed citations

11.

Moreira, Thaís G., Davide Mangani, Laura M. Cox, et al.. (2021). PD-L1+ and XCR1+ dendritic cells are region-specific regulators of gut homeostasis. Nature Communications. 12(1). 4907–4907. 31 indexed citations

12.

Acharya, Nandini, Asaf Madi, Huiyuan Zhang, et al.. (2020). Endogenous Glucocorticoid Signaling Regulates CD8+ T Cell Differentiation and Development of Dysfunction in the Tumor Microenvironment. Immunity. 53(3). 658–671.e6. 147 indexed citations

13.

Escobar, Giulia, Davide Mangani, & Ana C. Anderson. (2020). T cell factor 1: A master regulator of the T cell response in disease. Science Immunology. 5(53). 114 indexed citations

14.

Moreira, Thaís G., Ana Cristina Gomes-Santos, Rafael Pires de Oliveira, et al.. (2018). CLA-supplemented diet accelerates experimental colorectal cancer by inducing TGF-β-producing macrophages and T cells. Mucosal Immunology. 12(1). 188–199. 28 indexed citations

15.

Mangani, Davide, Michael Weller, Edith Willscher, et al.. (2017). P08.36 TGF-β pathway-mediated escape from VEGF blockade is linked with angiogenesis and immune-suppression in murine glioma models. Neuro-Oncology. 19(suppl_3). iii61–iii62. 1 indexed citations

16.

Mangani, Davide, Michael Weller, & Patrick Roth. (2016). The network of immunosuppressive pathways in glioblastoma. Biochemical Pharmacology. 130. 1–9. 81 indexed citations

17.

Mangani, Davide, Michael Weller, Edith Willscher, et al.. (2016). Limited role for transforming growth factor–β pathway activation-mediated escape from VEGF inhibition in murine glioma models. Neuro-Oncology. 18(12). 1610–1621. 27 indexed citations

18.

Quintavalle, Cristina, Davide Mangani, Giuseppina Roscigno, et al.. (2013). miR-221/222 Target the DNA Methyltransferase MGMT in Glioma Cells. PLoS ONE. 8(9). e74466–e74466. 82 indexed citations

19.

Mangani, Davide, Annalisa Roberti, Flavio Rizzolio, & Antonio Giordano. (2012). Emerging molecular networks in Burkitt's lymphoma. Journal of Cellular Biochemistry. 114(1). 35–38. 11 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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