Jürgen Haas

4.5k total citations
48 papers, 1.6k citations indexed

About

Jürgen Haas is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Jürgen Haas has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Epidemiology, 13 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Jürgen Haas's work include Herpesvirus Infections and Treatments (16 papers), Cytomegalovirus and herpesvirus research (8 papers) and Animal Virus Infections Studies (6 papers). Jürgen Haas is often cited by papers focused on Herpesvirus Infections and Treatments (16 papers), Cytomegalovirus and herpesvirus research (8 papers) and Animal Virus Infections Studies (6 papers). Jürgen Haas collaborates with scholars based in United Kingdom, Germany and United States. Jürgen Haas's co-authors include Caroline C. Friedel, Ralf Zimmer, Georg Malterer, Winfried Schraut, Bijan Raziorrouh, Martin Wächtler, Helmut M. Diepolder, Michael Spannagl, Maria–Christina Jung and Roman Zachoval and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Jürgen Haas

47 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Haas United Kingdom 22 636 464 460 286 207 48 1.6k
Victoria S. Carter United States 16 784 1.2× 766 1.7× 454 1.0× 460 1.6× 126 0.6× 18 1.7k
Roghiyh Aliyari United States 12 412 0.6× 915 2.0× 824 1.8× 588 2.1× 128 0.6× 15 2.4k
Laurent Fischer France 25 974 1.5× 308 0.7× 547 1.2× 266 0.9× 371 1.8× 44 2.1k
Chikako Ono Japan 20 358 0.6× 206 0.4× 677 1.5× 476 1.7× 320 1.5× 68 1.6k
Yasuo Ariumi Japan 25 419 0.7× 483 1.0× 1000 2.2× 341 1.2× 401 1.9× 59 1.9k
Anuradha Chakraborti India 21 499 0.8× 251 0.5× 529 1.1× 365 1.3× 288 1.4× 98 1.7k
Mohsin Khan India 23 665 1.0× 351 0.8× 937 2.0× 801 2.8× 250 1.2× 33 2.3k
Yonggang Li China 18 267 0.4× 357 0.8× 235 0.5× 361 1.3× 73 0.4× 63 1.1k
Volker Fensterl United States 19 469 0.7× 1.3k 2.9× 833 1.8× 672 2.3× 97 0.5× 21 2.3k

Countries citing papers authored by Jürgen Haas

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Haas. A scholar is included among the top collaborators of Jürgen Haas 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 Jürgen Haas. Jürgen Haas 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.
Janbek, Janet, Thomas Munk Laursen, Niels Frimodt‐Møller, et al.. (2023). Hospital-Diagnosed Infections, Autoimmune Diseases, and Subsequent Dementia Incidence. JAMA Network Open. 6(9). e2332635–e2332635. 17 indexed citations
2.
Schnier, Christian, Janet Janbek, Linda Williams, et al.. (2021). Antiherpetic medication and incident dementia: Observational cohort studies in four countries. European Journal of Neurology. 28(6). 1840–1848. 34 indexed citations
3.
Ouwendijk, Werner J. D., Lennard J. M. Dekker, T. Rovis, et al.. (2020). Analysis of Virus and Host Proteomes During Productive HSV-1 and VZV Infection in Human Epithelial Cells. Frontiers in Microbiology. 11. 1179–1179. 17 indexed citations
4.
Emmott, Edward, Alexis de Rougemont, Myra Hosmillo, et al.. (2019). Polyprotein processing and intermolecular interactions within the viral replication complex spatially and temporally control norovirus protease activity. Journal of Biological Chemistry. 294(11). 4259–4271. 17 indexed citations
6.
Griffiths, Samantha J., et al.. (2015). The Role of Interferon-λ Locus Polymorphisms in Hepatitis C and Other Infectious Diseases. Journal of Innate Immunity. 7(3). 231–242. 25 indexed citations
7.
Baird, Nicholas L., Xiaoli Yu, Stipan Jonjić, et al.. (2014). Varicella zoster virus DNA does not accumulate in infected human neurons. Virology. 458-459. 1–3. 15 indexed citations
8.
Beard, Philippa M., Samantha J. Griffiths, Orland Gonzalez, et al.. (2014). A Loss of Function Analysis of Host Factors Influencing Vaccinia virus Replication by RNA Interference. PLoS ONE. 9(6). e98431–e98431. 27 indexed citations
9.
Russell, Clark D, Samantha J. Griffiths, & Jürgen Haas. (2013). Interferon Lambda Genetic Polymorphisms and Viral Infection: The Tip of the Iceberg?. DNA and Cell Biology. 33(2). 60–63. 10 indexed citations
10.
Rovis, T., Susanne M. Bailer, Venkata Raveendra Pothineni, et al.. (2013). Comprehensive Analysis of Varicella-Zoster Virus Proteins Using a New Monoclonal Antibody Collection. Journal of Virology. 87(12). 6943–6954. 33 indexed citations
11.
Tahoun, Amin, Edith Paxton, Georg Malterer, et al.. (2012). Salmonella Transforms Follicle-Associated Epithelial Cells into M Cells to Promote Intestinal Invasion. Cell Host & Microbe. 12(5). 645–656. 129 indexed citations
12.
Lieber, Diana & Jürgen Haas. (2011). Viruses and microRNAs: a toolbox for systematic analysis. Wiley Interdisciplinary Reviews - RNA. 2(6). 787–801. 7 indexed citations
13.
Friedel, Caroline C. & Jürgen Haas. (2011). Virus–host interactomes and global models of virus-infected cells. Trends in Microbiology. 19(10). 501–508. 50 indexed citations
14.
Ceroni, Alessandro, Sahar Sibani, Armin Baiker, et al.. (2010). Systematic analysis of the IgG antibodyimmune response against varicella zoster virus (VZV) using a self-assembled protein microarray. Molecular BioSystems. 6(9). 1604–1610. 38 indexed citations
15.
Schmidt, Tina, et al.. (2010). The heterogeneous nuclear ribonucleoprotein K is important for Herpes simplex virus‐1 propagation. FEBS Letters. 584(20). 4361–4365. 29 indexed citations
16.
Griffiths, Stephen, Elisabeth Kremmer, Michael Meisterernst, et al.. (2010). Kaposi's sarcoma-associated herpesvirus Lana-1 is a major activator of the serum response element and mitogen-activated protein kinase pathways via interactions with the Mediator complex. Journal of General Virology. 91(5). 1138–1149. 32 indexed citations
17.
Raziorrouh, Bijan, Winfried Schraut, Tilman Gerlach, et al.. (2010). The Immunoregulatory Role of CD244 in Chronic Hepatitis B Infection and its Inhibitory Potential on Virus-Specific CD8+ T-cell Function. Hepatology. 52(6). 1934–1947. 180 indexed citations
18.
Vizoso-Pinto, María Guadalupe, Josefina M. Villegas, Rudolf Haase, et al.. (2009). LuMPIS – A modified luminescence‐based mammalian interactome mapping pull‐down assay for the investigation of protein–protein interactions encoded by GC‐low ORFs. PROTEOMICS. 9(23). 5303–5308. 16 indexed citations
19.
Adler, Heiko, et al.. (2007). Murine Gammaherpesvirus 68 Contains Two Functional Lytic Origins of Replication. Journal of Virology. 81(13). 7300–7305. 8 indexed citations
20.
Wurster, Ulrich, Jürgen Haas, & U Pätzold. (1983). [Cerebrospinal fluid findings in isolated optic neuritis].. PubMed. 80(1). 35–8. 2 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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