Nicolas Ruggli

4.6k total citations
106 papers, 3.6k citations indexed

About

Nicolas Ruggli is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, Nicolas Ruggli has authored 106 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Agronomy and Crop Science, 36 papers in Cardiology and Cardiovascular Medicine and 33 papers in Infectious Diseases. Recurrent topics in Nicolas Ruggli's work include Animal Disease Management and Epidemiology (64 papers), Viral Infections and Immunology Research (36 papers) and Animal Virus Infections Studies (33 papers). Nicolas Ruggli is often cited by papers focused on Animal Disease Management and Epidemiology (64 papers), Viral Infections and Immunology Research (36 papers) and Animal Virus Infections Studies (33 papers). Nicolas Ruggli collaborates with scholars based in Switzerland, Slovakia and Germany. Nicolas Ruggli's co-authors include Artur Summerfield, Martin Hofmann‐Apitius, Kenneth C. McCullough, Jon-Duri Tratschin, Charles M. Rice, Matthias Liniger, Yoshihiro Sakoda, Oliver Bauhofer, Markus Gerber and Christian Mittelholzer and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Nicolas Ruggli

103 papers receiving 3.5k citations

Peers

Nicolas Ruggli
Kenneth C. McCullough United Kingdom
Yuzi Luo China
Terry Jackson United Kingdom
Peter J. Timoney United States
Geraldine Taylor United Kingdom
Elizabeth Rieder United States
Kenneth C. McCullough United Kingdom
Nicolas Ruggli
Citations per year, relative to Nicolas Ruggli Nicolas Ruggli (= 1×) peers Kenneth C. McCullough

Countries citing papers authored by Nicolas Ruggli

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Ruggli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Ruggli

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Ruggli. A scholar is included among the top collaborators of Nicolas Ruggli 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 Nicolas Ruggli. Nicolas Ruggli 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.
Brito, Francisco, Matthias Liniger, Béatrice Zumkehr, et al.. (2025). Monkeypox virus spreads from cell-to-cell and leads to neuronal death in human neural organoids. Nature Communications. 16(1). 5376–5376. 2 indexed citations
2.
3.
Yimthin, Thatcha, Jing Zhang, Elise Schieck, et al.. (2025). Capsular polysaccharide of Mycoplasma mycoides subsp. capri contributes to phenotypic diversity promoting distinctive immune responses. PLoS Pathogens. 21(12). e1013386–e1013386.
4.
Liniger, Matthias, Obdulio García-Nicolás, Markus Gerber, et al.. (2024). Evolutionary-Related High- and Low-Virulent Classical Swine Fever Virus Isolates Reveal Viral Determinants of Virulence. Viruses. 16(1). 147–147. 2 indexed citations
5.
Akarsu, Hatice, Thatcha Yimthin, Valentina Cippà, et al.. (2024). Functional surface expression of immunoglobulin cleavage systems in a candidate Mycoplasma vaccine chassis. Communications Biology. 7(1). 779–779. 5 indexed citations
6.
Liniger, Matthias, et al.. (2023). A sensitive luciferase reporter assay for the detection of infectious African swine fever virus. Journal of Virological Methods. 323. 114854–114854. 3 indexed citations
7.
Démoulins, Thomas, Kai Schulze, Thomas Ebensen, et al.. (2023). Coatsome-replicon vehicles: Self-replicating RNA vaccines against infectious diseases. Nanomedicine Nanotechnology Biology and Medicine. 49. 102655–102655. 4 indexed citations
8.
Labroussaa, Fabien, Valentina Cippà, Matthias Liniger, et al.. (2021). In-yeast reconstruction of the African swine fever virus genome isolated from clinical samples. STAR Protocols. 2(3). 100803–100803. 5 indexed citations
9.
Rappe, Julie C. F., Obdulio García-Nicolás, Barbara Thür, et al.. (2016). Heterogeneous antigenic properties of the porcine reproductive and respiratory syndrome virus nucleocapsid. Veterinary Research. 47(1). 117–117. 12 indexed citations
10.
Démoulins, Thomas, Pavlos C. Englezou, Panagiota Milona, et al.. (2016). Self-Replicating RNA Vaccine Delivery to Dendritic Cells. Methods in molecular biology. 1499. 37–75. 21 indexed citations
11.
Démoulins, Thomas, Panagiota Milona, Pavlos C. Englezou, et al.. (2015). Polyethylenimine-based polyplex delivery of self-replicating RNA vaccines. Nanomedicine Nanotechnology Biology and Medicine. 12(3). 711–722. 88 indexed citations
12.
Ruggli, Nicolas, et al.. (2014). Autocatalytic activity and substrate specificity of the pestivirus N-terminal protease Npro. Virology. 452-453. 303–309. 10 indexed citations
13.
Bolz, Miriam, Nicolas Ruggli, Marie‐Thérèse Ruf, et al.. (2014). Experimental Infection of the Pig with Mycobacterium ulcerans: A Novel Model for Studying the Pathogenesis of Buruli Ulcer Disease. PLoS neglected tropical diseases. 8(7). e2968–e2968. 18 indexed citations
14.
Leifer, Immanuel, Nicolas Ruggli, & Sandra Blome. (2013). Approaches to define the viral genetic basis of classical swine fever virus virulence. Virology. 438(2). 51–55. 43 indexed citations
15.
Ruggli, Nicolas, Markus Gerber, Jon-Duri Tratschin, et al.. (2013). The Structure of Classical Swine Fever Virus Npro: A Novel Cysteine Autoprotease and Zinc-Binding Protein Involved in Subversion of Type I Interferon Induction. PLoS Pathogens. 9(10). e1003704–e1003704. 29 indexed citations
16.
Ruggli, Nicolas, et al.. (2012). N pro of Classical Swine Fever Virus Prevents Type I Interferon-Mediated Priming of Conventional Dendritic Cells for Enhanced Interferon-α Response. Journal of Interferon & Cytokine Research. 32(5). 221–229. 11 indexed citations
17.
Mueller, Matthias, et al.. (2010). Antigenic Characterization of Recombinant Hemagglutinin Proteins Derived from Different Avian Influenza Virus Subtypes. PLoS ONE. 5(2). e9097–e9097. 13 indexed citations
18.
Summerfield, Artur, Marco P. Alves, Nicolas Ruggli, M.G.M. de Bruin, & Kenneth C. McCullough. (2006). High IFN- α Responses Associated with Depletion of Lymphocytes and Natural IFN-Producing Cells During Classical Swine Fever. Journal of Interferon & Cytokine Research. 26(4). 248–255. 67 indexed citations
19.
Bauhofer, Oliver, Artur Summerfield, Kenneth C. McCullough, & Nicolas Ruggli. (2005). Role of double-stranded RNA and Npro of classical swine fever virus in the activation of monocyte-derived dendritic cells. Virology. 343(1). 93–105. 32 indexed citations
20.
Ruggli, Nicolas, et al.. (2005). Npro of classical swine fever virus is an antagonist of double-stranded RNA-mediated apoptosis and IFN-α/β induction. Virology. 340(2). 265–276. 106 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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