Maria Vono

712 total citations
10 papers, 456 citations indexed

About

Maria Vono is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Maria Vono has authored 10 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in Maria Vono's work include Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (4 papers) and T-cell and B-cell Immunology (3 papers). Maria Vono is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (4 papers) and T-cell and B-cell Immunology (3 papers). Maria Vono collaborates with scholars based in Switzerland, United States and Denmark. Maria Vono's co-authors include Ang Lin, Frank Liang, Karin Loré, Anna Norrby‐Teglund, Richard A. Koup, Claire‐Anne Siegrist, Paul‐Henri Lambert, Christiane S. Eberhardt, Béatris Mastelic-Gavillet and Dennis Christensen and has published in prestigious journals such as Blood, The Journal of Immunology and Frontiers in Immunology.

In The Last Decade

Maria Vono

10 papers receiving 454 citations

Peers

Maria Vono
Paula A. Lanthier United States
K. Kai McKinstry United States
Anoria K. Haick United States
Deniz Cizmeci United States
Sabine Vollstedt Switzerland
Colin Mann United States
Maria Vono
Citations per year, relative to Maria Vono Maria Vono (= 1×) peers Véronique Olislagers

Countries citing papers authored by Maria Vono

Since Specialization
Citations

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

Fields of papers citing papers by Maria Vono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Vono

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

All Works

10 of 10 papers shown
1.
Vono, Maria, Tony del Rio, Philip Jarvis, et al.. (2025). Impact of pre-existing immunity on safety and biodistribution of a single AAV9 vectorintrathecal injection in cynomolgus monkeys. Molecular Therapy — Methods & Clinical Development. 33(4). 101602–101602. 1 indexed citations
2.
Vono, Maria, Béatris Mastelic-Gavillet, Elodie Mohr, et al.. (2023). C-type lectin receptor agonists elicit functional IL21-expressing Tfh cells and induce primary B cell responses in neonates. Frontiers in Immunology. 14. 1155200–1155200. 4 indexed citations
3.
Vu, Diem‐Lan, Paola Martinez-Murillo, Fiona Pigny, et al.. (2021). Longitudinal Analysis of Inflammatory Response to SARS-CoV-2 in the Upper Respiratory Tract Reveals an Association with Viral Load, Independent of Symptoms. Journal of Clinical Immunology. 41(8). 1723–1732. 7 indexed citations
4.
Vono, Maria, Angela Huttner, Sylvain Lemeille, et al.. (2021). Robust innate responses to SARS-CoV-2 in children resolve faster than in adults without compromising adaptive immunity. Cell Reports. 37(1). 109773–109773. 54 indexed citations
5.
Vono, Maria, Christiane S. Eberhardt, Floriane Auderset, et al.. (2019). Maternal Antibodies Inhibit Neonatal and Infant Responses to Vaccination by Shaping the Early-Life B Cell Repertoire within Germinal Centers. Cell Reports. 28(7). 1773–1784.e5. 78 indexed citations
6.
Mastelic-Gavillet, Béatris, Maria Vono, Frederico Moraes Ferreira, et al.. (2019). Neonatal T Follicular Helper Cells Are Lodged in a Pre-T Follicular Helper Stage Favoring Innate Over Adaptive Germinal Center Responses. Frontiers in Immunology. 10. 1845–1845. 15 indexed citations
7.
Pejoski, David, Marie Ballester, Floriane Auderset, et al.. (2019). Site-Specific DC Surface Signatures Influence CD4+ T Cell Co-stimulation and Lung-Homing. Frontiers in Immunology. 10. 1650–1650. 16 indexed citations
8.
Vono, Maria, Christiane S. Eberhardt, Elodie Mohr, et al.. (2018). Overcoming the Neonatal Limitations of Inducing Germinal Centers through Liposome-Based Adjuvants Including C-Type Lectin Agonists Trehalose Dibehenate or Curdlan. Frontiers in Immunology. 9. 381–381. 37 indexed citations
9.
Lin, Ang, Frank Liang, Elizabeth A. Thompson, et al.. (2017). Rhesus Macaque Myeloid-Derived Suppressor Cells Demonstrate T Cell Inhibitory Functions and Are Transiently Increased after Vaccination. The Journal of Immunology. 200(1). 286–294. 31 indexed citations
10.
Vono, Maria, Ang Lin, Anna Norrby‐Teglund, et al.. (2017). Neutrophils acquire the capacity for antigen presentation to memory CD4+ T cells in vitro and ex vivo. Blood. 129(14). 1991–2001. 213 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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