Sabine Claßen

1.5k total citations
17 papers, 996 citations indexed

About

Sabine Claßen is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Sabine Claßen has authored 17 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Sabine Claßen's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). Sabine Claßen is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). Sabine Claßen collaborates with scholars based in Germany, United States and Croatia. Sabine Claßen's co-authors include Joachim L. Schultze, Marc Beyer, Percy A. Knolle, Martin R. Weihrauch, Elmar Endl, Matthias Kochanek, Thomas Giese, Svenja Debey, Thomas Zander and Svenja Debey‐Pascher and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Sabine Claßen

17 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabine Claßen Germany 13 636 287 283 153 89 17 996
Valeria Quarona Italy 13 379 0.6× 378 1.3× 256 0.9× 263 1.7× 35 0.4× 16 1.0k
Gillian A. Kingsbury United States 12 334 0.5× 194 0.7× 163 0.6× 99 0.6× 85 1.0× 19 708
Roberta Costa Italy 11 888 1.4× 385 1.3× 140 0.5× 63 0.4× 48 0.5× 12 1.2k
Charles Link United States 18 277 0.4× 391 1.4× 296 1.0× 68 0.4× 71 0.8× 40 983
Lei Bi China 11 211 0.3× 200 0.7× 629 2.2× 169 1.1× 52 0.6× 45 1.1k
Lars‐Oliver Tykocinski Germany 18 443 0.7× 130 0.5× 269 1.0× 28 0.2× 90 1.0× 22 802
Paola Portararo Italy 15 357 0.6× 243 0.8× 366 1.3× 58 0.4× 78 0.9× 23 947
Anandi Sawant United States 15 476 0.7× 489 1.7× 317 1.1× 31 0.2× 99 1.1× 22 948
Jayagopala Reddy United States 11 1.1k 1.7× 162 0.6× 149 0.5× 34 0.2× 34 0.4× 14 1.3k
Mahdia Benkhoucha Switzerland 18 657 1.0× 191 0.7× 266 0.9× 26 0.2× 66 0.7× 32 1.2k

Countries citing papers authored by Sabine Claßen

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Claßen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Claßen

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

All Works

17 of 17 papers shown
1.
Song, Jian, Nathalie Uyttersprot, Sabine Claßen, & Ari Waisman. (2016). The IgG1 B‐cell receptor provides survival and proliferative signals analogue to the Igα but not the Igβ co‐receptor. European Journal of Immunology. 46(8). 1878–1886. 2 indexed citations
2.
Beyer, Marc, Beatrix Schumak, Martin R. Weihrauch, et al.. (2012). In vivo Expansion of Naïve CD4+CD25high FOXP3+ Regulatory T Cells in Patients with Colorectal Carcinoma after IL-2 Administration. PLoS ONE. 7(1). e30422–e30422. 19 indexed citations
3.
Zander, Thomas, Andrea Hofmann, Andrea Staratschek‐Jox, et al.. (2011). Blood-Based Gene Expression Signatures in Non–Small Cell Lung Cancer. Clinical Cancer Research. 17(10). 3360–3367. 51 indexed citations
4.
Beyer, Marc, Sabine Claßen, Elmar Endl, et al.. (2011). Comparative Approach to Define Increased Regulatory T Cells in Different Cancer Subtypes by Combined Assessment of CD127 and FOXP3. SHILAP Revista de lepidopterología. 2011. 1–12. 29 indexed citations
5.
Claßen, Sabine, Svenja Debey‐Pascher, Daniela Eggle, et al.. (2010). Application of T cell-based transcriptomics to identify three candidate biomarkers for monitoring anti-TGFβR therapy. Pharmacogenetics and Genomics. 20(3). 147–156. 11 indexed citations
6.
Debey‐Pascher, Svenja, Sabine Claßen, Daniela Eggle, et al.. (2010). Bead Array–Based microRNA Expression Profiling of Peripheral Blood and the Impact of Different RNA Isolation Approaches. Journal of Molecular Diagnostics. 12(3). 335–344. 22 indexed citations
7.
Gupta, Manoj Kumar, Matthias Matzkies, Filomain Nguemo, et al.. (2010). Global transcriptional profiles of beating clusters derived from human induced pluripotent stem cells and embryonic stem cells are highly similar. BMC Developmental Biology. 10(1). 98–98. 63 indexed citations
8.
Beyer, Marc, Julia Karbach, Michael R. Mallmann, et al.. (2009). Cancer Vaccine Enhanced, Non–Tumor-Reactive CD8+ T Cells Exhibit a Distinct Molecular Program Associated with “Division Arrest Anergy”. Cancer Research. 69(10). 4346–4354. 12 indexed citations
9.
Klotz, Luisa, Stephanie Hucke, Dominik Thimm, et al.. (2009). Increased Antigen Cross-Presentation but Impaired Cross-Priming after Activation of Peroxisome Proliferator-Activated Receptor γ Is Mediated by Up-Regulation of B7H1. The Journal of Immunology. 183(1). 129–136. 32 indexed citations
10.
Staratschek‐Jox, Andrea, et al.. (2009). Blood-based transcriptomics: leukemias and beyond. Expert Review of Molecular Diagnostics. 9(3). 271–280. 19 indexed citations
11.
Claßen, Sabine, Andrea Staratschek‐Jox, & Joachim L. Schultze. (2008). Use of Genome-Wide High-Throughput Technologies in Biomarker Development. Biomarkers in Medicine. 2(5). 509–524. 8 indexed citations
12.
Waisman, Ari, Manfred Kraus, Jane Seagal, et al.. (2007). IgG1 B cell receptor signaling is inhibited by CD22 and promotes the development of B cells whose survival is less dependent on Igα/β. The Journal of Experimental Medicine. 204(4). 747–758. 105 indexed citations
13.
Claßen, Sabine, Thomas Zander, Daniela Eggle, et al.. (2007). Human Resting CD4+ T Cells Are Constitutively Inhibited by TGFβ under Steady-State Conditions. The Journal of Immunology. 178(11). 6931–6940. 32 indexed citations
14.
Chemnitz, Jens M., Daniela Eggle, Julia Driesen, et al.. (2007). RNA fingerprints provide direct evidence for the inhibitory role of TGFβ and PD-1 on CD4+ T cells in Hodgkin lymphoma. Blood. 110(9). 3226–3233. 66 indexed citations
15.
Chemnitz, Jens M., Julia Driesen, Sabine Claßen, et al.. (2006). Prostaglandin E2 Impairs CD4+ T Cell Activation by Inhibition of lck: Implications in Hodgkin's Lymphoma. Cancer Research. 66(2). 1114–1122. 84 indexed citations
16.
Bergwelt‐Baildon, Michael S. von, Alexey Popov, Tomo Šarić, et al.. (2006). CD25 and indoleamine 2,3-dioxygenase are up-regulated by prostaglandin E2 and expressed by tumor-associated dendritic cells in vivo: additional mechanisms of T-cell inhibition. Blood. 108(1). 228–237. 187 indexed citations
17.
Beyer, Marc, Matthias Kochanek, Thomas Giese, et al.. (2006). In vivo peripheral expansion of naive CD4+CD25highFoxP3+ regulatory T cells in patients with multiple myeloma. Blood. 107(10). 3940–3949. 254 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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