Bernadette Pöllinger

721 total citations
7 papers, 583 citations indexed

About

Bernadette Pöllinger is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Bernadette Pöllinger has authored 7 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Bernadette Pöllinger's work include T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Bernadette Pöllinger is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Bernadette Pöllinger collaborates with scholars based in Switzerland, United States and Austria. Bernadette Pöllinger's co-authors include Florian C. Kurschus, Kerstin Berer, Hans Lassmann, Robert R. Dunn, Michael R. Bösl, Hartmut Wekerle, Gurumoorthy Krishnamoorthy, Helena S. Domingues, Andreas Holz and Erich A. Nigg and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Bernadette Pöllinger

7 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernadette Pöllinger Switzerland 7 279 190 151 111 87 7 583
Cecily Q. Bernales Canada 12 136 0.5× 147 0.8× 71 0.5× 58 0.5× 37 0.4× 23 381
JT Elder United States 10 386 1.4× 142 0.7× 53 0.4× 98 0.9× 49 0.6× 13 702
Ilan Kolkowitz United States 6 308 1.1× 164 0.9× 259 1.7× 178 1.6× 107 1.2× 8 637
Julie A. Kawczak United States 10 312 1.1× 121 0.6× 155 1.0× 82 0.7× 68 0.8× 13 520
Céline Derambure France 15 163 0.6× 207 1.1× 76 0.5× 108 1.0× 209 2.4× 34 692
Ingrid Teige Sweden 14 556 2.0× 229 1.2× 102 0.7× 274 2.5× 78 0.9× 40 939
Constanze Schwarz Germany 8 213 0.8× 223 1.2× 36 0.2× 91 0.8× 29 0.3× 14 512
Marianna Esposito Italy 8 146 0.5× 139 0.7× 42 0.3× 42 0.4× 16 0.2× 10 434
Karin Zins Austria 13 295 1.1× 399 2.1× 46 0.3× 289 2.6× 15 0.2× 22 806
Michele Pelosi Italy 12 312 1.1× 325 1.7× 54 0.4× 89 0.8× 67 0.8× 16 717

Countries citing papers authored by Bernadette Pöllinger

Since Specialization
Citations

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

Fields of papers citing papers by Bernadette Pöllinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernadette Pöllinger

This figure shows the co-authorship network connecting the top 25 collaborators of Bernadette Pöllinger. A scholar is included among the top collaborators of Bernadette Pöllinger 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 Bernadette Pöllinger. Bernadette Pöllinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Ostrov, David A., Aimon K. Alkanani, Kristen A. McDaniel, et al.. (2018). Methyldopa blocks MHC class II binding to disease-specific antigens in autoimmune diabetes. Journal of Clinical Investigation. 128(5). 1888–1902. 40 indexed citations
2.
Kleylein-Sohn, Julia, et al.. (2012). Acentrosomal spindle organization renders cancer cells dependent on the kinesin HSET. Journal of Cell Science. 125(Pt 22). 5391–402. 85 indexed citations
3.
Pöllinger, Bernadette. (2012). IL-17 producing T cells in mouse models of multiple sclerosis and rheumatoid arthritis. Journal of Molecular Medicine. 90(6). 613–624. 27 indexed citations
4.
Pöllinger, Bernadette, Tobias Junt, Barbara Metzler, et al.. (2011). Th17 Cells, Not IL-17+ γδ T Cells, Drive Arthritic Bone Destruction in Mice and Humans. The Journal of Immunology. 186(4). 2602–2612. 107 indexed citations
5.
Seabrook, Timothy J., Amanda Littlewood-Evans, Volker Brinkmann, et al.. (2010). Angiogenesis is present in experimental autoimmune encephalomyelitis and pro-angiogenic factors are increased in multiple sclerosis lesions. Journal of Neuroinflammation. 7(1). 95–95. 67 indexed citations
6.
Pöllinger, Bernadette, Gurumoorthy Krishnamoorthy, Kerstin Berer, et al.. (2009). Spontaneous relapsing-remitting EAE in the SJL/J mouse: MOG-reactive transgenic T cells recruit endogenous MOG-specific B cells. The Journal of Experimental Medicine. 206(6). 1303–1316. 218 indexed citations
7.
Littlewood‐Evans, Amanda, Bernadette Pöllinger, Jiří Kovařík, et al.. (2009). The critical role of kinase activity of interleukin‐1 receptor–associated kinase 4 in animal models of joint inflammation. Arthritis & Rheumatism. 60(6). 1661–1671. 39 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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