Martin Messerle

9.8k total citations
132 papers, 7.0k citations indexed

About

Martin Messerle is a scholar working on Epidemiology, Immunology and Parasitology. According to data from OpenAlex, Martin Messerle has authored 132 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Epidemiology, 50 papers in Immunology and 28 papers in Parasitology. Recurrent topics in Martin Messerle's work include Cytomegalovirus and herpesvirus research (120 papers), Herpesvirus Infections and Treatments (75 papers) and Immune Cell Function and Interaction (33 papers). Martin Messerle is often cited by papers focused on Cytomegalovirus and herpesvirus research (120 papers), Herpesvirus Infections and Treatments (75 papers) and Immune Cell Function and Interaction (33 papers). Martin Messerle collaborates with scholars based in Germany, Croatia and United States. Martin Messerle's co-authors include Ulrich H. Koszinowski, Eva Maria Borst, Stipan Jonjić, Markus Wagner, Gabriele Hahn, Matthias J. Reddehase, Heiko Adler, U H Koszinowski, Wolfram Brune and Ana Angulo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Martin Messerle

132 papers receiving 7.0k citations

Peers

Martin Messerle
Gavin W. G. Wilkinson United Kingdom
Deborah H. Spector United States
Mark F. Stinski United States
David A. Leib United States
Mark R. Wills United Kingdom
Gabriella Campadelli‐Fiume Italy
Andrew D. Yurochko United States
Ann B. Hill United States
Daniel N. Streblow United States
Bernhard Fleckenstein Germany
Gavin W. G. Wilkinson United Kingdom
Martin Messerle
Citations per year, relative to Martin Messerle Martin Messerle (= 1×) peers Gavin W. G. Wilkinson

Countries citing papers authored by Martin Messerle

Since Specialization
Citations

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

Fields of papers citing papers by Martin Messerle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Messerle

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Messerle. A scholar is included among the top collaborators of Martin Messerle 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 Martin Messerle. Martin Messerle 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.
Kühne, Jenny F., Jana Keil, Karen Wagner, et al.. (2025). HCMV Variants Expressing ULBP2 Enhance the Function of Human NK Cells via its Receptor NKG2D. European Journal of Immunology. 55(2). e202451266–e202451266. 1 indexed citations
2.
3.
Zagorac, Gordana Blagojević, et al.. (2024). SNX27:Retromer:ESCPE-1-mediated early endosomal tubulation impacts cytomegalovirus replication. Frontiers in Cellular and Infection Microbiology. 14. 1399761–1399761. 2 indexed citations
4.
Becker, Stephan, Tobias Krammer, Verónica Durán, et al.. (2024). Human cytomegalovirus exploits STING signaling and counteracts IFN/ISG induction to facilitate infection of dendritic cells. Nature Communications. 15(1). 1745–1745. 8 indexed citations
5.
Messerle, Martin, et al.. (2023). Imaging cytomegalovirus infection and ensuing immune responses. Current Opinion in Immunology. 82. 102307–102307. 2 indexed citations
6.
Schwerk, Johannes, Kendra A. Bussey, Stefan Lienenklaus, et al.. (2022). Type I Interferon Signaling Controls Gammaherpesvirus Latency In Vivo. Pathogens. 11(12). 1554–1554. 6 indexed citations
7.
Hengel, Hartmut, Martin Messerle, Annette Oxenius, et al.. (2021). Cytomegalovirus restricts ICOSL expression on antigen-presenting cells disabling T cell co-stimulation and contributing to immune evasion. eLife. 10. 5 indexed citations
8.
Glaß, Mandy, Kirsten A. Keyser, Anne Binz, et al.. (2017). The M25 gene products are critical for the cytopathic effect of mouse cytomegalovirus. Scientific Reports. 7(1). 15588–15588. 11 indexed citations
9.
Charpak‐Amikam, Yoav, Einat Seidel, Esther Oiknine‐Djian, et al.. (2017). Human cytomegalovirus escapes immune recognition by NK cells through the downregulation of B7-H6 by the viral genes US18 and US20. Scientific Reports. 7(1). 8661–8661. 39 indexed citations
10.
Tršan, Tihana, Niels A. W. Lemmermann, Kilian Schober, et al.. (2017). Cytomegalovirus vector expressing RAE‐1γ induces enhanced anti‐tumor capacity of murine CD8+ T cells. European Journal of Immunology. 47(8). 1354–1367. 20 indexed citations
11.
Rand, Ulfert, Britta Eiz‐Vesper, Martin Messerle, et al.. (2017). Myeloid Dendritic Cells Repress Human Cytomegalovirus Gene Expression and Spread by Releasing Interferon-Unrelated Soluble Antiviral Factors. Journal of Virology. 92(1). 17 indexed citations
12.
Rovis, T., Paola Kučan Brlić, Noa Kaynan, et al.. (2016). Inflammatory monocytes and NK cells play a crucial role in DNAM-1–dependent control of cytomegalovirus infection. The Journal of Experimental Medicine. 213(9). 1835–1850. 42 indexed citations
13.
Drori, Adi, Martin Messerle, Wolfram Brune, & Boaz Tirosh. (2014). Lack of XBP-1 Impedes Murine Cytomegalovirus Gene Expression. PLoS ONE. 9(10). e110942–e110942. 8 indexed citations
14.
Rodríguez‐Martín, Sara, Kai A. Kropp, Vanda Juranić Lisnić, et al.. (2012). Ablation of the Regulatory IE1 Protein of Murine Cytomegalovirus Alters In Vivo Pro-inflammatory TNF-alpha Production during Acute Infection. PLoS Pathogens. 8(8). e1002901–e1002901. 9 indexed citations
15.
Budt, Matthias, Jurica Arapović, Milena Hasan, et al.. (2006). The herpesviral Fc receptor fcr-1 down-regulates the NKG2D ligands MULT-1 and H60. The Journal of Experimental Medicine. 203(8). 1843–1850. 77 indexed citations
16.
Krmpotić, Astrid, Milena Hasan, Andrea Loewendorf, et al.. (2005). NK cell activation through the NKG2D ligand MULT-1 is selectively prevented by the glycoprotein encoded by mouse cytomegalovirus gene m145 . The Journal of Experimental Medicine. 201(2). 211–220. 118 indexed citations
17.
Borst, Eva Maria, et al.. (2004). Mutagenesis of Herpesvirus BACs by Allele Replacement. Humana Press eBooks. 256. 269–280. 16 indexed citations
18.
Schroeder, Timm, et al.. (2003). Dendritic Cells under Influence of Mouse Cytomegalovirus Have a Physiologic Dual Role: to Initiate and to Restrict T Cell Activation. The Journal of Infectious Diseases. 187(6). 988–999. 57 indexed citations
19.
Messerle, Martin, Gabriele Hahn, Wolfram Brune, & Ulrich H. Koszinowski. (2000). Cytomegalovirus bacterial artificial chromosomes: A new herpesvirus vector approach. Advances in virus research. 55. 463–478. 18 indexed citations
20.
Messerle, Martin, et al.. (1992). Characterization of the murine cytomegalovirus genes encoding the major DNA binding protein and the ICP18.5 homolog. Virology. 191(1). 355–367. 24 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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