Marco Cavallari

1.7k total citations
26 papers, 1.3k citations indexed

About

Marco Cavallari is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marco Cavallari has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 11 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marco Cavallari's work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (11 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Marco Cavallari is often cited by papers focused on Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (11 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Marco Cavallari collaborates with scholars based in Switzerland, Germany and Austria. Marco Cavallari's co-authors include Gennaro De Libero, Lucia Mori, Anil Kumar, Neal K. Williams, Siok Wan Gan, Sary El Daker, Travis Beddoe, Jamie Rossjohn, Emma Gostick and Alex Theodossis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Nature Immunology.

In The Last Decade

Marco Cavallari

26 papers receiving 1.3k citations

Peers

Marco Cavallari
Anastas Pashov United States
Marat Alimzhanov United States
Kevin L. Bicker United States
Wim J.E. van Esch Netherlands
Diana Brassard United States
Gordon Powers United States
Jonathan P. Hannan United Kingdom
Jerry Liao United States
Anastas Pashov United States
Marco Cavallari
Citations per year, relative to Marco Cavallari Marco Cavallari (= 1×) peers Anastas Pashov

Countries citing papers authored by Marco Cavallari

Since Specialization
Citations

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

Fields of papers citing papers by Marco Cavallari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Cavallari

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Cavallari. A scholar is included among the top collaborators of Marco Cavallari 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 Marco Cavallari. Marco Cavallari 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.
Smulski, Cristian R., Luyao Zhang, Michele Vigolo, et al.. (2022). Ligand-independent oligomerization of TACI is controlled by the transmembrane domain and regulates proliferation of activated B cells. Cell Reports. 38(13). 110583–110583. 11 indexed citations
2.
Kläsener, Kathrin, Julia Jellusova, Geoffroy Andrieux, et al.. (2021). CD20 as a gatekeeper of the resting state of human B cells. Proceedings of the National Academy of Sciences. 118(7). 59 indexed citations
3.
Kissel, Theresa, Marco Cavallari, Gerrie Stoeken‐Rijsbergen, et al.. (2020). Antibodies and B cells recognising citrullinated proteins display a broad cross-reactivity towards other post-translational modifications. Annals of the Rheumatic Diseases. 79(4). 472–480. 80 indexed citations
4.
Zheng, Shuangshuang, et al.. (2019). A new branched proximity hybridization assay for the quantification of nanoscale protein–protein proximity. PLoS Biology. 17(12). e3000569–e3000569. 6 indexed citations
5.
He, Xiaocui, Kathrin Kläsener, Joseena Iype, et al.. (2018). Continuous signaling of CD 79b and CD 19 is required for the fitness of Burkitt lymphoma B cells. The EMBO Journal. 37(11). 43 indexed citations
6.
Wagner, Hanna J., Sarah Wehrle, Étienne Weiss, Marco Cavallari, & Wilfried Weber. (2018). A Two-Step Approach for the Design and Generation of Nanobodies. International Journal of Molecular Sciences. 19(11). 3444–3444. 30 indexed citations
7.
Rashidian, Mohammad, Edmund J. Keliher, Michael Dougan, et al.. (2015). Use of 18F-2-Fluorodeoxyglucose to Label Antibody Fragments for Immuno-Positron Emission Tomography of Pancreatic Cancer. ACS Central Science. 1(3). 142–147. 85 indexed citations
8.
Cavallari, Marco, Pierre Stallforth, Artem Kalinichenko, et al.. (2014). A semisynthetic carbohydrate-lipid vaccine that protects against S. pneumoniae in mice. Nature Chemical Biology. 10(11). 950–956. 90 indexed citations
9.
Ashour, Joseph, Florian I. Schmidt, Leo Hanke, et al.. (2014). Intracellular Expression of Camelid Single-Domain Antibodies Specific for Influenza Virus Nucleoprotein Uncovers Distinct Features of Its Nuclear Localization. Journal of Virology. 89(5). 2792–2800. 56 indexed citations
10.
Vavassori, Stefano, Anil Kumar, Siok Wan Gan, et al.. (2013). Butyrophilin 3A1 binds phosphorylated antigens and stimulates human γδ T cells. Nature Immunology. 14(9). 908–916. 308 indexed citations
11.
Facciotti, Federica, Marco Lepore, Sebastiano Sansano, et al.. (2012). Peroxisome-derived lipids are self antigens that stimulate invariant natural killer T cells in the thymus. Nature Immunology. 13(5). 474–480. 166 indexed citations
12.
Kyriakakis, Emmanouil, Marco Cavallari, Maria Philippova, et al.. (2010). Invariant natural killer T cells: Linking inflammation and neovascularization in human atherosclerosis. European Journal of Immunology. 40(11). 3268–3279. 48 indexed citations
13.
Cernadas, Manuela, Marco Cavallari, Gerald F. Watts, et al.. (2009). Early Recycling Compartment Trafficking of CD1a Is Essential for Its Intersection and Presentation of Lipid Antigens. The Journal of Immunology. 184(3). 1235–1241. 35 indexed citations
14.
Cavallari, Marco, Andreas Billich, Frédéric Bornancin, et al.. (2009). 4,5,6‐Trisubstituted Piperidinones as Conformationally Restricted Ceramide Analogues: Synthesis and Evaluation as Inhibitors of Sphingosine and Ceramide Kinases and as NKT Cell‐Stimulatory Antigens. Chemistry & Biodiversity. 6(10). 1688–1715. 3 indexed citations
15.
Cavallari, Marco, et al.. (2009). Uncoupling between CD1d upregulation induced by retinoic acid and conduritol-B-epoxide and iNKT cell responsiveness. Immunobiology. 215(6). 505–513. 13 indexed citations
16.
Billich, Andreas, et al.. (2009). Synthesis of 7‐Aza‐ and 7‐Thiasphingosines, and Evaluation of Their Interaction with Sphingosine Kinases and with T‐Cells. Chemistry & Biodiversity. 6(5). 725–738. 2 indexed citations
17.
Billich, Andreas, Marco Cavallari, Frédéric Bornancin, et al.. (2009). Synthesis and Evaluation of Sphingolipid Analogues. Chemistry & Biodiversity. 6(5). 705–724. 3 indexed citations
18.
Barral, Duarte C., Marco Cavallari, Peter J. McCormick, et al.. (2008). CD1a and MHC Class I Follow a Similar Endocytic Recycling Pathway. Traffic. 9(9). 1446–1457. 67 indexed citations
19.
Ronchetti, Fiamma, Luigi Panza, Valeria Costantino, et al.. (2007). Synthesis and evaluation of human T cell stimulating activity of an α-sulfatide analogue. Bioorganic & Medicinal Chemistry. 15(16). 5529–5536. 15 indexed citations
20.
Compostella, Federica, Diego Colombo, Marco Cavallari, et al.. (2006). Stereoselective Synthesis and Immunogenic Activity of the C-Analogue of Sulfatide. Organic Letters. 8(15). 3255–3258. 15 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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