Thomas Mertens

2.6k total citations
65 papers, 1.9k citations indexed

About

Thomas Mertens is a scholar working on Epidemiology, Immunology and Oncology. According to data from OpenAlex, Thomas Mertens has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Epidemiology, 19 papers in Immunology and 9 papers in Oncology. Recurrent topics in Thomas Mertens's work include Cytomegalovirus and herpesvirus research (36 papers), Herpesvirus Infections and Treatments (22 papers) and Hepatitis B Virus Studies (8 papers). Thomas Mertens is often cited by papers focused on Cytomegalovirus and herpesvirus research (36 papers), Herpesvirus Infections and Treatments (22 papers) and Hepatitis B Virus Studies (8 papers). Thomas Mertens collaborates with scholars based in Germany, United States and France. Thomas Mertens's co-authors include Detlef Michel, Albert Zimmermann, Karl Melber, Jörg Reimann, Reinhold Schirmbeck, Anke Lüske, Ivica Pavić, Donald Bunjes, Markus Wiesneth and W. Hampl and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.

In The Last Decade

Thomas Mertens

62 papers receiving 1.9k citations

Peers

Thomas Mertens
J. E. Grundy United Kingdom
Sophie Sierro United Kingdom
Xavier Paliard United States
Sian Llewellyn‐Lacey United Kingdom
William C. Adams United States
Anna Cerny United States
Mary Hummel United States
Fran Hakim United States
Thomas Mertens
Citations per year, relative to Thomas Mertens Thomas Mertens (= 1×) peers Paola Del Porto

Countries citing papers authored by Thomas Mertens

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Mertens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Mertens

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Mertens. A scholar is included among the top collaborators of Thomas Mertens 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 Thomas Mertens. Thomas Mertens 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
2.
Bunse, Lukas, Claudia Sommerer, Chin Leng Tan, et al.. (2022). Common T-Cell-Receptor Motifs and Features in Patients with Cytomegalovirus (CMV)-Seronegative End-Stage Renal Disease Receiving a Peptide Vaccination against CMV. International Journal of Molecular Sciences. 23(3). 1029–1029. 2 indexed citations
3.
Röbl-Mathieu, Marianne, et al.. (2021). Vaccination in Pregnancy. Deutsches Ärzteblatt international. 118(15). 262–268. 14 indexed citations
4.
Remschmidt, Cornelius, Thomas Harder, Ole Wichmann, et al.. (2016). Hintergrundpapier der STIKO: Evaluation der bestehenden Influenzaimpfempfehlung für Indikationsgruppen und für Senioren (Standardimpfung ab 60 Jahren). Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 59(12). 1606–1622. 5 indexed citations
5.
Godfrey, Rinesh, Guido Fellbrich, Anke Lüske, et al.. (2014). Human cytomegalovirus infection impairs endothelial cell chemotaxis by disturbing VEGF signalling and actin polymerization. Cardiovascular Research. 104(2). 315–325. 12 indexed citations
6.
Schneidawind, Dominik, Anita Schmitt, Markus Wiesneth, et al.. (2010). Polyomavirus BK-specific CD8+ T cell responses in patients after allogeneic stem cell transplant. Leukemia & lymphoma. 51(6). 1055–1062. 14 indexed citations
8.
Yao, Junxia, Markus Wiesneth, Georg Härter, et al.. (2008). Multimer Staining of Cytomegalovirus Phosphoprotein 65–Specific T Cells for Diagnosis and Therapeutic Purposes: A Comparative Study. Clinical Infectious Diseases. 46(10). e96–e105. 39 indexed citations
9.
Voisard, Rainer, Barbara Reinhardt, Bianca Vaida, et al.. (2007). HCMV-infection in a human arterial organ culture model: effects on cell proliferation and neointimal hyperplasia. BMC Microbiology. 7(1). 68–68. 6 indexed citations
10.
Reinhardt, Barbara, et al.. (2005). HCMV infection of human vascular smooth muscle cells leads to enhanced expression of functionally intact PDGF β-receptor. Cardiovascular Research. 67(1). 151–160. 40 indexed citations
11.
Manfras, Burkhard, H Weidenbach, Karlheinz Beckh, et al.. (2004). Oligoclonal CD8+ T-Cell Expansion in Patients with Chronic Hepatitis C Is Associated with Liver Pathology and Poor Response to Interferon-α Therapy. Journal of Clinical Immunology. 24(3). 258–271. 34 indexed citations
12.
Casarosa, Paola, Yvonne K. Gruijthuijsen, Detlef Michel, et al.. (2003). Constitutive Signaling of the Human Cytomegalovirus-encoded Receptor UL33 Differs from That of Its Rat Cytomegalovirus Homolog R33 by Promiscuous Activation of G Proteins of the Gq, Gi, and Gs Classes. Journal of Biological Chemistry. 278(50). 50010–50023. 75 indexed citations
13.
Casarosa, Paola, Wiro M. P. B. Menge, Rosalba Minisini, et al.. (2003). Identification of the First Nonpeptidergic Inverse Agonist for a Constitutively Active Viral-encoded G Protein-coupled Receptor. Journal of Biological Chemistry. 278(7). 5172–5178. 73 indexed citations
14.
Baldanti, Fausto, Detlef Michel, L. Simoncini, et al.. (2002). Mutations in the UL97 ORF of ganciclovir-resistant clinical cytomegalovirus isolates differentially affect GCV phosphorylation as determined in a recombinant vaccinia virus system. Antiviral Research. 54(1). 59–67. 33 indexed citations
15.
Michel, Detlef, et al.. (2002). GCV resistance due to the mutation A594P in the cytomegalovirus protein UL97 is partially reconstituted by a second mutation at D605E. Antiviral Research. 53(2). 135–142. 32 indexed citations
16.
Zimmermann, Albert, et al.. (2000). Indolocarbazoles exhibit strong antiviral activity against human cytomegalovirus and are potent inhibitors of the pUL97 protein kinase. Antiviral Research. 48(1). 49–60. 42 indexed citations
17.
Neyts, Johan, Jan Balzarini, Graciela Andreï, et al.. (1998). Intracellular Metabolism of the N7-Substituted Acyclic Nucleoside Analog 2-Amino-7-(1,3-dihydroxy-2-propoxymethyl)purine, a Potent Inhibitor of Herpesvirus Replication. Molecular Pharmacology. 53(1). 157–165. 25 indexed citations
18.
Mertens, Thomas. (1995). [Possibilities and limits of virologic diagnosis in suspected virus-induced cardiomyopathy].. PubMed. 36(5). 439–47.
19.
Richter, Wiltrud, Thomas Mertens, Bernd Schoel, et al.. (1994). Sequence homology of the diabetes-associated autoantigen glutamate decarboxylase with coxsackie B4-2C protein and heat shock protein 60 mediates no molecular mimicry of autoantibodies.. The Journal of Experimental Medicine. 180(2). 721–726. 57 indexed citations
20.
Mertens, Thomas & Hans J. Eggers. (1988). Chronic herpes simplex virus and varicella zoster virus infection. Journal of Virological Methods. 21(1-4). 61–72. 4 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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