Gerhard J. Zlabinger

11.1k total citations · 1 hit paper
190 papers, 8.9k citations indexed

About

Gerhard J. Zlabinger is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Gerhard J. Zlabinger has authored 190 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Immunology, 45 papers in Molecular Biology and 22 papers in Oncology. Recurrent topics in Gerhard J. Zlabinger's work include Immune Cell Function and Interaction (53 papers), T-cell and B-cell Immunology (35 papers) and Immunotherapy and Immune Responses (30 papers). Gerhard J. Zlabinger is often cited by papers focused on Immune Cell Function and Interaction (53 papers), T-cell and B-cell Immunology (35 papers) and Immunotherapy and Immune Responses (30 papers). Gerhard J. Zlabinger collaborates with scholars based in Austria, Croatia and Germany. Gerhard J. Zlabinger's co-authors include Marcus D. Säemann, Peter Steinberger, Maximilian Zeyda, Johannes Stöckl, Thomas M. Stulnig, Walter H. Hörl, Walter Knapp, Otto Majdic, Karl M. Stuhlmeier and Georg A. Böhmig and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Gerhard J. Zlabinger

190 papers receiving 8.7k citations

Hit Papers

A microplate assay for the detection of oxidative product... 1992 2026 2003 2014 1992 100 200 300 400

Peers

Gerhard J. Zlabinger
Gerhard J. Zlabinger
Citations per year, relative to Gerhard J. Zlabinger Gerhard J. Zlabinger (= 1×) peers Song Guo Zheng

Countries citing papers authored by Gerhard J. Zlabinger

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard J. Zlabinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerhard J. Zlabinger. 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 Gerhard J. Zlabinger. The network helps show where Gerhard J. Zlabinger may publish in the future.

Co-authorship network of co-authors of Gerhard J. Zlabinger

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard J. Zlabinger. A scholar is included among the top collaborators of Gerhard J. Zlabinger 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 Gerhard J. Zlabinger. Gerhard J. Zlabinger 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.
Jordakieva, Galateja, Rodolfo Bianchini, Ettore Mearini, et al.. (2021). IgG4 induces tolerogenic M2-like macrophages and correlates with disease progression in colon cancer. OncoImmunology. 10(1). 1880687–1880687. 33 indexed citations
2.
Mayer, Katharina A., Ursula Smole, Sophia Derdak, et al.. (2021). The energy sensor AMPK orchestrates metabolic and translational adaptation in expanding T helper cells. The FASEB Journal. 35(4). e21217–e21217. 14 indexed citations
3.
Bustamante, Gabriela, et al.. (2020). Cesarean section and risk of allergies in Ecuadorian children: A cross‐sectional study. Immunity Inflammation and Disease. 8(4). 763–773. 12 indexed citations
5.
Kovarík, J, Elisabeth Kernbauer, Markus A. Hölzl, et al.. (2017). Fasting metabolism modulates the interleukin-12/interleukin-10 cytokine axis. PLoS ONE. 12(7). e0180900–e0180900. 11 indexed citations
6.
Nagl, Birgit, Peter Briza, Anargyros Roulias, et al.. (2016). Characterization of the T-cell response to Dau c 1, the Bet v 1-homolog in carrot. Allergy. 72(2). 244–251. 13 indexed citations
7.
Posch, Florian, J. Thaler, Gerhard J. Zlabinger, et al.. (2015). Soluble Vascular Endothelial Growth Factor (sVEGF) and the Risk of Venous Thromboembolism in Patients with Cancer: Results from the Vienna Cancer and Thrombosis Study (CATS). Clinical Cancer Research. 22(1). 200–206. 40 indexed citations
8.
Kirchberger, Stefanie, Otto Majdic, Gerhard J. Zlabinger, et al.. (2009). The ssRNA Genome of Human Rhinovirus Induces a Type I IFN Response but Fails to Induce Maturation in Human Monocyte-Derived Dendritic Cells. The Journal of Immunology. 183(7). 4440–4448. 13 indexed citations
9.
Mechtcheriakova, Diana, Tamara Kopp, Roland Reuschel, et al.. (2006). Sphingosine 1-phosphate phosphatase 2 is induced during inflammatory responses. Cellular Signalling. 19(4). 748–760. 101 indexed citations
10.
Kirchberger, Stefanie, Otto Majdic, Peter Steinberger, et al.. (2005). Human Rhinoviruses Inhibit the Accessory Function of Dendritic Cells by Inducing Sialoadhesin and B7-H1 Expression. The Journal of Immunology. 175(2). 1145–1152. 78 indexed citations
11.
Steinberger, Peter, Otto Majdic, Sophia Derdak, et al.. (2004). Molecular Characterization of Human 4Ig-B7-H3, a Member of the B7 Family with Four Ig-Like Domains. The Journal of Immunology. 172(4). 2352–2359. 224 indexed citations
12.
Grabmeier‐Pfistershammer, Katharina, Otto Majdic, Johannes Stöckl, et al.. (2004). CD63 as an Activation-Linked T Cell Costimulatory Element. The Journal of Immunology. 173(10). 6000–6008. 58 indexed citations
13.
Zeyda, Maximilian, Andreas Szekeres, Marcus D. Säemann, et al.. (2003). Suppression of T Cell Signaling by Polyunsaturated Fatty Acids: Selectivity in Inhibition of Mitogen-Activated Protein Kinase and Nuclear Factor Activation. The Journal of Immunology. 170(12). 6033–6039. 68 indexed citations
14.
Staffler, Günther, Andreas Szekeres, Gerhard J. Schütz, et al.. (2003). Selective Inhibition of T Cell Activation Via CD147 Through Novel Modulation of Lipid Rafts. The Journal of Immunology. 171(4). 1707–1714. 47 indexed citations
15.
Selenko-Gebauer, Nicole, Otto Majdic, Andreas Szekeres, et al.. (2003). B7-H1 (Programmed Death-1 Ligand) on Dendritic Cells Is Involved in the Induction and Maintenance of T Cell Anergy. The Journal of Immunology. 170(7). 3637–3644. 225 indexed citations
16.
Wahrmann, Markus, Markus Exner, Heinz Regele, et al.. (2003). Flow cytometry based detection of HLA alloantibody mediated classical complement activation. Journal of Immunological Methods. 275(1-2). 149–160. 55 indexed citations
17.
Szekeres, Andreas, Otto Majdic, Elisabeth Prager, et al.. (2001). Characterization of CDw92 as a Member of the Choline Transporter-Like Protein Family Regulated Specifically on Dendritic Cells. The Journal of Immunology. 167(10). 5795–5804. 33 indexed citations
18.
Körmöczi, Günther F., et al.. (2001). Serum Proteins Modified by Neutrophil-Derived Oxidants as Mediators of Neutrophil Stimulation. The Journal of Immunology. 167(1). 451–460. 21 indexed citations
19.
Klauser, Renate, Gerhard J. Zlabinger, O. Traindl, et al.. (1992). Influence of immunosuppressive therapy on infectious complications in renal transplant recipients.. PubMed. 24(1). 292–4. 8 indexed citations
20.
Ahmad, Rafi, et al.. (1982). Plaque-Forming Cells in Human Cord Blood: A Soluble Factor Suppressing Differentiation but Not Proliferation of B Cells. International Archives of Allergy and Immunology. 69(2). 132–136. 1 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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