Karin Brduscha‐Riem

1.3k total citations
8 papers, 1.1k citations indexed

About

Karin Brduscha‐Riem is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Karin Brduscha‐Riem has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 2 papers in Molecular Biology and 1 paper in Epidemiology. Recurrent topics in Karin Brduscha‐Riem's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (4 papers). Karin Brduscha‐Riem is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (4 papers). Karin Brduscha‐Riem collaborates with scholars based in Switzerland, Germany and United Kingdom. Karin Brduscha‐Riem's co-authors include Stephan Oehen, Rolf M. Zinkernagel, Hans Hengartner, Hanspeter Pircher, Peter Aichele, R M Zinkernagel, Claudine Blaser, Hanspeter Pircher, Bernhard Odermatt and Annette Oxenius and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and The Journal of Immunology.

In The Last Decade

Karin Brduscha‐Riem

8 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karin Brduscha‐Riem Switzerland 8 996 167 135 128 66 8 1.1k
Katrin Janke Austria 5 902 0.9× 191 1.1× 155 1.1× 69 0.5× 48 0.7× 6 1.1k
Christel Buelens Belgium 8 925 0.9× 148 0.9× 170 1.3× 85 0.7× 48 0.7× 11 1.1k
Michael I. Zimmer United States 11 571 0.6× 109 0.7× 180 1.3× 87 0.7× 80 1.2× 11 722
Javier O. Valenzuela United States 4 707 0.7× 212 1.3× 133 1.0× 77 0.6× 43 0.7× 4 811
Antonio Scardino France 15 608 0.6× 183 1.1× 362 2.7× 100 0.8× 54 0.8× 18 758
J M Bridon France 10 508 0.5× 93 0.6× 80 0.6× 130 1.0× 43 0.7× 10 781
R W Dutton United States 14 894 0.9× 144 0.9× 161 1.2× 81 0.6× 60 0.9× 23 1.1k
Laura Arribillaga Spain 14 516 0.5× 175 1.0× 163 1.2× 188 1.5× 64 1.0× 22 819
Michael J. Fuller United States 12 1.0k 1.0× 212 1.3× 88 0.7× 261 2.0× 54 0.8× 14 1.3k
Hansjörg Schild Germany 13 805 0.8× 179 1.1× 356 2.6× 110 0.9× 74 1.1× 13 1.0k

Countries citing papers authored by Karin Brduscha‐Riem

Since Specialization
Citations

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

Fields of papers citing papers by Karin Brduscha‐Riem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin Brduscha‐Riem. 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 Karin Brduscha‐Riem. The network helps show where Karin Brduscha‐Riem may publish in the future.

Co-authorship network of co-authors of Karin Brduscha‐Riem

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

All Works

8 of 8 papers shown
1.
Ludewig, Burkhard, Tilman Dumrese, Karin Brduscha‐Riem, et al.. (2001). Hypercholesterolemia Exacerbates Virus-Induced Immunopathologic Liver Disease Via Suppression of Antiviral Cytotoxic T Cell Responses. The Journal of Immunology. 166(5). 3369–3376. 56 indexed citations
2.
Oehen, Stephan & Karin Brduscha‐Riem. (1999). Naïve cytotoxic T lymphocytes spontaneously acquire effector function in lymphocytopenic recipients: A pitfall for T cell memory studies?. European Journal of Immunology. 29(2). 608–614. 128 indexed citations
3.
Oehen, Stephan & Karin Brduscha‐Riem. (1998). Differentiation of Naive CTL to Effector and Memory CTL: Correlation of Effector Function with Phenotype and Cell Division. The Journal of Immunology. 161(10). 5338–5346. 312 indexed citations
4.
Oehen, Stephan, Karin Brduscha‐Riem, Annette Oxenius, & Bernhard Odermatt. (1997). A simple method for evaluating the rejection of grafted spleen cells by flow cytometry and tracing adoptively transferred cells by light microscopy. Journal of Immunological Methods. 207(1). 33–42. 57 indexed citations
5.
Aichele, Peter, Karin Brduscha‐Riem, Stephan Oehen, et al.. (1997). Peptide Antigen Treatment of Naive and Virus-Immune Mice: Antigen-Specific Tolerance Versus Immunopathology. Immunity. 6(5). 519–529. 108 indexed citations
6.
Brduscha‐Riem, Karin, et al.. (1996). Visualization, characterization, and turnover of CD8+ memory T cells in virus-infected hosts.. The Journal of Experimental Medicine. 183(4). 1367–1375. 234 indexed citations
7.
Aichele, Peter, Karin Brduscha‐Riem, Rolf M. Zinkernagel, Hans Hengartner, & Hanspeter Pircher. (1995). T cell priming versus T cell tolerance induced by synthetic peptides.. The Journal of Experimental Medicine. 182(1). 261–266. 193 indexed citations
8.
Brändle, Daniel, Karin Brduscha‐Riem, Adrian Hayday, et al.. (1995). T cell development and repertoire of mice expressing a single T cell receptor α chain. European Journal of Immunology. 25(9). 2650–2655. 21 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026