Markus Gerber

4.5k total citations · 1 hit paper
22 papers, 1.4k citations indexed

About

Markus Gerber is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Markus Gerber has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Agronomy and Crop Science, 11 papers in Cardiology and Cardiovascular Medicine and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Markus Gerber's work include Animal Disease Management and Epidemiology (15 papers), Viral Infections and Immunology Research (11 papers) and Vector-Borne Animal Diseases (7 papers). Markus Gerber is often cited by papers focused on Animal Disease Management and Epidemiology (15 papers), Viral Infections and Immunology Research (11 papers) and Vector-Borne Animal Diseases (7 papers). Markus Gerber collaborates with scholars based in Switzerland, Slovakia and Spain. Markus Gerber's co-authors include Nicolas Gruber, S. E. Mikaloff Fletcher, Scott C. Doney, Nicolas Ruggli, Artur Summerfield, Akihiko Murata, Aida F. Rı́os, Heather Graven, Galen A. McKinley and Samar Khatiwala and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Journal of Virology.

In The Last Decade

Markus Gerber

22 papers receiving 1.4k citations

Hit Papers

Global ocean storage of anthropogenic carbon 2013 2026 2017 2021 2013 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Global ocean storage of anthropogenic carbon
    2013 350 citations Samar Khatiwala, Toste Tanhua et al. Biogeosciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Gerber Switzerland 14 628 397 245 234 194 22 1.4k
Bodil Hernroth Sweden 24 508 0.8× 591 1.5× 36 0.1× 468 2.0× 101 0.5× 41 1.7k
Jeong‐Hoon Kim South Korea 22 137 0.2× 151 0.4× 40 0.2× 47 0.2× 386 2.0× 107 1.3k
Victoria Bowes Canada 20 103 0.2× 147 0.4× 235 1.0× 199 0.9× 325 1.7× 38 1.6k
Eva Sierra Spain 21 97 0.2× 72 0.2× 41 0.2× 55 0.2× 111 0.6× 93 1.4k
A. Douglas United Kingdom 13 24 0.0× 428 1.1× 87 0.4× 182 0.8× 149 0.8× 20 1.0k
Timothy J. Green Australia 24 181 0.3× 666 1.7× 12 0.0× 328 1.4× 242 1.2× 68 1.8k
Megan J. Welch United States 20 341 0.5× 186 0.5× 14 0.1× 281 1.2× 321 1.7× 36 1.8k
Jonathan Colombet France 23 333 0.5× 60 0.2× 9 0.0× 219 0.9× 384 2.0× 59 1.6k
Michael Bock Germany 20 25 0.0× 117 0.3× 48 0.2× 195 0.8× 565 2.9× 27 1.7k
Knut Yngve Børsheim Norway 18 733 1.2× 206 0.5× 7 0.0× 107 0.5× 364 1.9× 31 2.1k

Countries citing papers authored by Markus Gerber

Since Specialization
Citations

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

Fields of papers citing papers by Markus Gerber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Gerber

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Gerber. A scholar is included among the top collaborators of Markus Gerber 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 Markus Gerber. Markus Gerber 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.
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
3.
Gerber, Markus, Ida Suppanz, Silke Oeljeklaus, et al.. (2023). A Msp1-containing complex removes orphaned proteins in the mitochondrial outer membrane ofT. brucei. Life Science Alliance. 6(11). e202302004–e202302004. 3 indexed citations
4.
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
5.
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
6.
Wang, Miaomiao, José Alejandro Bohórquez, Sara Muñoz‐González, et al.. (2022). Removal of the E rns RNase Activity and of the 3′ Untranslated Region Polyuridine Insertion in a Low-Virulence Classical Swine Fever Virus Triggers a Cytokine Storm and Lethal Disease. Journal of Virology. 96(14). e0043822–e0043822. 5 indexed citations
7.
Démoulins, Thomas, Nicolas Ruggli, Markus Gerber, et al.. (2021). Self-Amplifying Pestivirus Replicon RNA Encoding Influenza Virus Nucleoprotein and Hemagglutinin Promote Humoral and Cellular Immune Responses in Pigs. Frontiers in Immunology. 11. 622385–622385. 16 indexed citations
8.
Liniger, Matthias, Markus Gerber, Sandra Renzullo, Obdulio García-Nicolás, & Nicolas Ruggli. (2021). TNF-Mediated Inhibition of Classical Swine Fever Virus Replication Is IRF1-, NF-κB- and JAK/STAT Signaling-Dependent. Viruses. 13(10). 2017–2017. 14 indexed citations
9.
Wang, Miaomiao, José Alejandro Bohórquez, Sara Muñoz‐González, et al.. (2021). Abrogation of the RNase activity of Erns in a low virulence classical swine fever virus enhances the humoral immune response and reduces virulence, transmissibility, and persistence in pigs. Virulence. 12(1). 2037–2049. 4 indexed citations
10.
Auray, Gaël, Stephanie C. Talker, Irene Keller, et al.. (2020). High-Resolution Profiling of Innate Immune Responses by Porcine Dendritic Cell Subsets in vitro and in vivo. Frontiers in Immunology. 11. 1429–1429. 20 indexed citations
11.
Itakura, Yukari, Keita Matsuno, Markus Gerber, et al.. (2019). A cloned classical swine fever virus derived from the vaccine strain GPE− causes cytopathic effect in CPK-NS cells via type-I interferon-dependent necroptosis. Virus Research. 276. 197809–197809. 8 indexed citations
12.
Wang, Miaomiao, Matthias Liniger, Sara Muñoz‐González, et al.. (2019). A Polyuridine Insertion in the 3′ Untranslated Region of Classical Swine Fever Virus Activates Immunity and Reduces Viral Virulence in Piglets. Journal of Virology. 94(2). 14 indexed citations
13.
V’kovski, Philip, Markus Gerber, Jenna N. Kelly, et al.. (2019). Determination of host proteins composing the microenvironment of coronavirus replicase complexes by proximity-labeling. eLife. 8. 120 indexed citations
14.
Scheel, Troels K. H., Joseph M. Luna, Matthias Liniger, et al.. (2016). A Broad RNA Virus Survey Reveals Both miRNA Dependence and Functional Sequestration. Cell Host & Microbe. 19(3). 409–423. 102 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.
Khatiwala, Samar, Toste Tanhua, S. E. Mikaloff Fletcher, et al.. (2013). Global ocean storage of anthropogenic carbon. Biogeosciences. 10(4). 2169–2191. 350 indexed citations breakdown →
17.
Python, Sylvie, Markus Gerber, Rolf Suter, Nicolas Ruggli, & Artur Summerfield. (2013). Efficient Sensing of Infected Cells in Absence of Virus Particles by Blasmacytoid Dendritic Cells Is Blocked by the Viral Ribonuclease Erns. PLoS Pathogens. 9(6). e1003412–e1003412. 45 indexed citations
18.
Ruggli, Nicolas, Artur Summerfield, Laurence Guzylack‐Piriou, et al.. (2008). Classical Swine Fever Virus Can Remain Virulent after Specific Elimination of the Interferon Regulatory Factor 3-Degrading Function of N pro. Journal of Virology. 83(2). 817–829. 66 indexed citations
19.
Guzylack‐Piriou, Laurence, et al.. (2006). Plasmacytoid dendritic cell activation by foot‐and‐mouth disease virus requires immune complexes. European Journal of Immunology. 36(7). 1674–1683. 70 indexed citations
20.
Hofmann‐Apitius, Martin, et al.. (2000). Rescue of infectious classical swine fever and foot-and-mouth disease virus by RNA transfection and virus detection by RT-PCR after extended storage of samples in Trizol®. Journal of Virological Methods. 87(1-2). 29–39. 37 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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