Gauthier Lieber

500 total citations
4 papers, 137 citations indexed

About

Gauthier Lieber is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Gauthier Lieber has authored 4 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Molecular Biology and 2 papers in Immunology. Recurrent topics in Gauthier Lieber's work include interferon and immune responses (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Gauthier Lieber is often cited by papers focused on interferon and immune responses (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Gauthier Lieber collaborates with scholars based in Switzerland, United Kingdom and Slovakia. Gauthier Lieber's co-authors include Matthew L. Turnbull, Brian J. Willett, Wilhelm Furnon, Rute Maria Pinto, Richard Orton, Arthur Wickenhagen, Agnieszka M. Szemiel, Alain Kohl, Oscar A. MacLean and Daniel Mair and has published in prestigious journals such as PLoS Pathogens, EMBO Reports and Viruses.

In The Last Decade

Gauthier Lieber

3 papers receiving 134 citations

Peers

Gauthier Lieber
Venice Du Pont United States
Lauren Baracco United States
Miao Mei China
Jake E McGreig United Kingdom
Daniel Mair United Kingdom
Minqi Gao China
Gauthier Lieber
Citations per year, relative to Gauthier Lieber Gauthier Lieber (= 1×) peers Cho‐Chin Cheng

Countries citing papers authored by Gauthier Lieber

Since Specialization
Citations

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

Fields of papers citing papers by Gauthier Lieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gauthier Lieber

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

All Works

4 of 4 papers shown
1.
Lork, Marie, et al.. (2025). Regulated localization of transposable element RNA during influenza A virus infection. EMBO Reports. 26(14). 3506–3528.
2.
Lork, Marie, Gauthier Lieber, & Benjamin G. Hale. (2021). Proteomic Approaches to Dissect Host SUMOylation during Innate Antiviral Immune Responses. Viruses. 13(3). 528–528. 4 indexed citations
3.
Szemiel, Agnieszka M., Andres Merits, Richard Orton, et al.. (2021). In vitro selection of Remdesivir resistance suggests evolutionary predictability of SARS-CoV-2. PLoS Pathogens. 17(9). e1009929–e1009929. 100 indexed citations
4.
Morris, Caroline, Amit Mahindra, Gonzalo S. Tejeda, et al.. (2021). Stapled ACE2 peptidomimetics designed to target the SARS‐CoV‐2 spike protein do not prevent virus internalization. Peptide Science. 113(4). e24217–e24217. 33 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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