Bernd Schnarr

623 total citations
10 papers, 530 citations indexed

About

Bernd Schnarr is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Bernd Schnarr has authored 10 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Bernd Schnarr's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Bernd Schnarr is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Bernd Schnarr collaborates with scholars based in Germany, Switzerland and France. Bernd Schnarr's co-authors include Albert Duschl, Doris Mayer, Axel Benner, Walter Sebald, Susanne Grünewald, Christophe Klein, Frank Brombacher, Markus Mohrs, Eva B. Bröcker and R. Gillitzer and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and European Journal of Biochemistry.

In The Last Decade

Bernd Schnarr

10 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernd Schnarr Germany 10 222 159 157 125 125 10 530
Ted Petley United States 7 157 0.7× 122 0.8× 190 1.2× 39 0.3× 79 0.6× 8 404
Florence Quesada Calvo Belgium 8 265 1.2× 158 1.0× 99 0.6× 68 0.5× 21 0.2× 11 545
Dwayne Ford United States 9 157 0.7× 111 0.7× 62 0.4× 54 0.4× 20 0.2× 9 362
T. Ishida Japan 12 123 0.6× 203 1.3× 35 0.2× 143 1.1× 32 0.3× 25 585
Yamina Hamel France 14 174 0.8× 144 0.9× 73 0.5× 104 0.8× 27 0.2× 23 516
Susanne Rolle Germany 13 367 1.7× 226 1.4× 48 0.3× 44 0.4× 35 0.3× 16 638
Maria Yhr Sweden 12 476 2.1× 187 1.2× 153 1.0× 110 0.9× 9 0.1× 15 671
Kaoru Murakami-Mori United States 14 196 0.9× 216 1.4× 71 0.5× 273 2.2× 17 0.1× 17 545
Masahiro Koba Japan 4 227 1.0× 115 0.7× 27 0.2× 50 0.4× 22 0.2× 7 380
Huiyong Peng China 12 190 0.9× 196 1.2× 53 0.3× 64 0.5× 49 0.4× 26 507

Countries citing papers authored by Bernd Schnarr

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Schnarr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernd Schnarr

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

All Works

10 of 10 papers shown
1.
Schmitt, Martina, K. Klinga, Bernd Schnarr, Robert Morfin, & Doris Mayer. (2001). Dehydroepiandrosterone stimulates proliferation and gene expression in MCF-7 cells after conversion to estradiol. Molecular and Cellular Endocrinology. 173(1-2). 1–13. 41 indexed citations
2.
Schnarr, Bernd, et al.. (2000). Down-regulation of insulin-like growth factor-I receptor and insulin receptor substrate-1 expression in advanced human breast cancer. International Journal of Cancer. 89(6). 506–513. 147 indexed citations
3.
4.
Moriggl, Richard, Winfried Kammer, Susanne Berchtold, et al.. (1998). Activation of STAT6 is not dependent on phosphotyrosine‐mediated docking to the interleukin‐4 receptor and can be blocked by dominant‐negative mutants of both receptor subunits. European Journal of Biochemistry. 251(1-2). 25–35. 15 indexed citations
5.
Feng, Ningping, Serena M. Lugli, Bruno Schnyder, et al.. (1998). The interleukin-4/interleukin-13 receptor of human synovial fibroblasts: overexpression of the nonsignaling interleukin-13 receptor alpha2.. PubMed. 78(5). 591–602. 69 indexed citations
6.
Grünewald, Susanne, et al.. (1997). A Murine Interleukin-4 Antagonistic Mutant Protein Completely Inhibits Interleukin-4-induced Cell Proliferation, Differentiation, and Signal Transduction. Journal of Biological Chemistry. 272(3). 1480–1483. 39 indexed citations
7.
8.
Goebeler, Matthias, Bernd Schnarr, Atiye Toksoy, et al.. (1997). Interleukin‐13 selectively induces monocyte chemoattractant protein‐1 synthesis and secretion by human endothelial cells. Involvement of IL‐4Rα and Stat6 phosphorylation. Immunology. 91(3). 450–457. 57 indexed citations
9.
Quentmeier, Hilmar, Albert Duschl, Zhenbo Hu, et al.. (1996). MUTZ‐3, a monocytic model cell line for interleukin‐4 and lipopolysaccharide studies. Immunology. 89(4). 606–612. 18 indexed citations
10.

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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