Roxane Tussiwand

7.0k total citations · 2 hit papers
40 papers, 4.7k citations indexed

About

Roxane Tussiwand is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Roxane Tussiwand has authored 40 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Roxane Tussiwand's work include T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (20 papers) and Immunotherapy and Immune Responses (20 papers). Roxane Tussiwand is often cited by papers focused on T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (20 papers) and Immunotherapy and Immune Responses (20 papers). Roxane Tussiwand collaborates with scholars based in United States, Switzerland and Germany. Roxane Tussiwand's co-authors include Kenneth M. Murphy, Nobuyuki Onai, Shalin H. Naik, Simon Yona, Claudia Jakubzick, Martin Guilliams, Élodie Segura, Barbara U. Schraml, Florent Ginhoux and Gary E. Grajales‐Reyes and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Roxane Tussiwand

39 papers receiving 4.7k citations

Hit Papers

Dendritic cells, monocytes and macrophages: a unified nom... 2014 2026 2018 2022 2014 2014 400 800 1.2k

Peers

Roxane Tussiwand
Matthew Collin United Kingdom
Sandra Zurawski United States
Shino Hanabuchi United States
Ann M. Haberman United States
R. Lee Reinhardt United States
Roxane Tussiwand
Citations per year, relative to Roxane Tussiwand Roxane Tussiwand (= 1×) peers Jean‐Jacques Pin

Countries citing papers authored by Roxane Tussiwand

Since Specialization
Citations

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

Fields of papers citing papers by Roxane Tussiwand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roxane Tussiwand

This figure shows the co-authorship network connecting the top 25 collaborators of Roxane Tussiwand. A scholar is included among the top collaborators of Roxane Tussiwand 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 Roxane Tussiwand. Roxane Tussiwand 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.
Ye, Peiying, Jenna Bergerson, Isaac Brownell, et al.. (2025). Resolution of Squamous-Cell Carcinoma by Restoring T-Cell Receptor Signaling. New England Journal of Medicine. 393(5). 469–478.
2.
Gélineau, Adélaïde, Geneviève Marcelin, Sébastien Dussaud, et al.. (2024). Fructooligosaccharides benefits on glucose homeostasis upon high-fat diet feeding require type 2 conventional dendritic cells. Nature Communications. 15(1). 5413–5413. 5 indexed citations
3.
Yao, Chen, Tyrone Dowdy, Wenwen Jin, et al.. (2023). TGF-β uncouples glycolysis and inflammation in macrophages and controls survival during sepsis. Science Signaling. 16(797). eade0385–eade0385. 42 indexed citations
4.
Rodrigues, Patrick Fernandes, Nicolas Bouladoux, Milena Mitrović, et al.. (2023). pDC-like cells are pre-DC2 and require KLF4 to control homeostatic CD4 T cells. Science Immunology. 8(80). eadd4132–eadd4132. 45 indexed citations
5.
Reizis, Boris, Juliana Idoyaga, Marc Dalod, et al.. (2023). Reclassification of plasmacytoid dendritic cells as innate lymphocytes is premature. Nature reviews. Immunology. 23(5). 336–337. 23 indexed citations
6.
Roux, Julien, Patrick Fernandes Rodrigues, Paweł Pelczar, et al.. (2022). Dntt expression reveals developmental hierarchy and lineage specification of hematopoietic progenitors. Nature Immunology. 23(4). 505–517. 19 indexed citations
7.
Parmigiani, Elena, Robert Ivánek, Chiara Rolando, et al.. (2022). Interferon-γ resistance and immune evasion in glioma develop via Notch-regulated co-evolution of malignant and immune cells. Developmental Cell. 57(15). 1847–1865.e9. 26 indexed citations
8.
Rodrigues, Patrick Fernandes, et al.. (2018). Distinct progenitor lineages contribute to the heterogeneity of plasmacytoid dendritic cells. Nature Immunology. 19(7). 711–722. 206 indexed citations
9.
Sparber, Florian, Tamas Dolowschiak, Björn E. Clausen, et al.. (2018). Langerin+ DCs regulate innate IL-17 production in the oral mucosa during Candida albicans-mediated infection. PLoS Pathogens. 14(5). e1007069–e1007069. 45 indexed citations
10.
Murphy, Theresa L., Gary E. Grajales‐Reyes, Xiaodi Wu, et al.. (2016). Transcriptional Control of Dendritic Cell Development. Annual Review of Immunology. 34(1). 93–119. 346 indexed citations
11.
Tussiwand, Roxane, Bart Everts, Gary E. Grajales‐Reyes, et al.. (2015). Klf4 Expression in Conventional Dendritic Cells Is Required for T Helper 2 Cell Responses. Immunity. 42(5). 916–928. 309 indexed citations
12.
Grajales‐Reyes, Gary E., Arifumi Iwata, Jörn C. Albring, et al.. (2015). Batf3 maintains autoactivation of Irf8 for commitment of a CD8α+ conventional DC clonogenic progenitor. Nature Immunology. 16(7). 708–717. 269 indexed citations
13.
Naik, Shruti, Nicolas Bouladoux, Jonathan L. Linehan, et al.. (2014). Commensal–dendritic-cell interaction specifies a unique protective skin immune signature. Nature. 520(7545). 104–108. 603 indexed citations breakdown →
14.
Guilliams, Martin, Florent Ginhoux, Claudia Jakubzick, et al.. (2014). Dendritic cells, monocytes and macrophages: a unified nomenclature based on ontogeny. Nature reviews. Immunology. 14(8). 571–578. 1314 indexed citations breakdown →
15.
Murphy, Theresa L., Roxane Tussiwand, & Kenneth M. Murphy. (2013). Specificity through cooperation: BATF–IRF interactions control immune-regulatory networks. Nature reviews. Immunology. 13(7). 499–509. 273 indexed citations
16.
Tussiwand, Roxane, Nabil Bosco, Rhodri Ceredig, & Antonius Rolink. (2009). Tolerance checkpoints in B‐cell development: Johnny B good. European Journal of Immunology. 39(9). 2317–2324. 33 indexed citations
17.
Cocco, Mario, Cristiana Bellan, Roxane Tussiwand, et al.. (2008). CD34+ Cord Blood Cell-Transplanted Rag2−/− γc−/− Mice as a Model for Epstein-Barr Virus Infection. American Journal Of Pathology. 173(5). 1369–1378. 50 indexed citations
18.
Baenziger, Stefan, Roxane Tussiwand, Erika Schlaepfer, et al.. (2006). Disseminated and sustained HIV infection in CD34 + cord blood cell-transplanted Rag2 −/− γ c −/− mice. Proceedings of the National Academy of Sciences. 103(43). 15951–15956. 191 indexed citations
19.
Tussiwand, Roxane, Nobuyuki Onai, Luca Mazzucchelli, & Markus G. Manz. (2005). Inhibition of Natural Type I IFN-Producing and Dendritic Cell Development by a Small Molecule Receptor Tyrosine Kinase Inhibitor with Flt3 Affinity. The Journal of Immunology. 175(6). 3674–3680. 42 indexed citations
20.
Maia, Ana-Teresa, Roxane Tussiwand, Giovanni Cazzaniga, et al.. (2004). Identification of preleukemic precursors of hyperdiploid acute lymphoblastic leukemia in cord blood. Genes Chromosomes and Cancer. 40(1). 38–43. 59 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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