Fred Schaper

12.1k total citations · 2 hit papers
96 papers, 9.9k citations indexed

About

Fred Schaper is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Fred Schaper has authored 96 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Oncology, 60 papers in Molecular Biology and 35 papers in Immunology. Recurrent topics in Fred Schaper's work include Cytokine Signaling Pathways and Interactions (73 papers), Protein Tyrosine Phosphatases (27 papers) and interferon and immune responses (17 papers). Fred Schaper is often cited by papers focused on Cytokine Signaling Pathways and Interactions (73 papers), Protein Tyrosine Phosphatases (27 papers) and interferon and immune responses (17 papers). Fred Schaper collaborates with scholars based in Germany, United States and Belgium. Fred Schaper's co-authors include Peter C. Heinrich, Gerhard Müller‐Newen, Iris Behrmann, Serge Haan, Heike M. Hermanns, Lutz Graeve, Stefan Rose‐John, Johannes G. Bode, Jochen Schmitz and Dieter Häussinger and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Fred Schaper

95 papers receiving 9.7k citations

Hit Papers

Principles of interleukin (IL)-6-type cytokine signalling... 1998 2026 2007 2016 2003 1998 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred Schaper Germany 40 5.0k 4.3k 3.3k 1.2k 1.0k 96 9.9k
Tetsuji Naka Japan 54 5.1k 1.0× 6.4k 1.5× 3.7k 1.1× 1.5k 1.2× 1.4k 1.3× 202 13.4k
Christian Schindler United States 46 5.1k 1.0× 5.9k 1.4× 3.5k 1.0× 1.3k 1.0× 1.3k 1.3× 82 10.7k
Iris Behrmann Germany 46 5.0k 1.0× 4.4k 1.0× 5.9k 1.8× 1.9k 1.6× 1000 1.0× 92 11.6k
Toshikatsu Hanada Japan 33 3.0k 0.6× 3.6k 0.8× 2.2k 0.7× 1.2k 1.0× 798 0.8× 64 7.2k
Koichi Nakajima Japan 46 4.0k 0.8× 3.8k 0.9× 3.6k 1.1× 1.2k 1.0× 648 0.6× 95 9.4k
Hideo Yasukawa Japan 40 3.8k 0.8× 3.4k 0.8× 2.4k 0.7× 1.0k 0.8× 896 0.9× 77 8.4k
Kiyoshi Yasukawa Japan 39 4.5k 0.9× 4.3k 1.0× 3.8k 1.1× 951 0.8× 632 0.6× 209 10.6k
Massimo Gadina United States 55 4.1k 0.8× 6.4k 1.5× 3.5k 1.1× 794 0.6× 1.1k 1.1× 126 13.2k
Lionel Feigenbaum United States 61 4.3k 0.9× 9.0k 2.1× 4.5k 1.4× 879 0.7× 1.2k 1.2× 123 15.1k
Brendan J. Jenkins Australia 43 4.0k 0.8× 3.8k 0.9× 2.8k 0.9× 1.2k 1.0× 644 0.6× 113 8.6k

Countries citing papers authored by Fred Schaper

Since Specialization
Citations

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

Fields of papers citing papers by Fred Schaper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Schaper

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Schaper. A scholar is included among the top collaborators of Fred Schaper 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 Fred Schaper. Fred Schaper 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.
Schulz, S., et al.. (2022). Non‐canonical STAT3 function reduces REDD1 transcription. FEBS Journal. 290(7). 1765–1781. 5 indexed citations
2.
Komorowski, Michał, et al.. (2021). The tyrosine phosphatase SHP2 increases robustness and information transfer within IL-6-induced JAK/STAT signalling. Cell Communication and Signaling. 19(1). 94–94. 35 indexed citations
3.
Komorowski, Michał, et al.. (2019). Robustness and Information Transfer within IL-6-induced JAK/STAT Signalling. Communications Biology. 2(1). 27–27. 43 indexed citations
4.
Williams, Jamie J.L., William Mullen, Richard Burchmore, et al.. (2018). Interaction of suppressor of cytokine signalling 3 with cavin-1 links SOCS3 function and cavin-1 stability. Nature Communications. 9(1). 168–168. 23 indexed citations
6.
Dittrich, Anna, Tom Quaiser, Christina Khouri, et al.. (2012). Model-driven experimental analysis of the function of SHP-2 in IL-6-induced Jak/STAT signaling. Molecular BioSystems. 8(8). 2119–2134. 28 indexed citations
7.
Samaga, Regina, et al.. (2011). Large-scale network models of IL-1 and IL-6signalling and their hepatocellular specification. Molecular BioSystems. 7(12). 3253–3270. 20 indexed citations
8.
Ehlting, Christian, Wi S. Lai, Fred Schaper, et al.. (2007). Regulation of Suppressor of Cytokine Signaling 3 (SOCS3) mRNA Stability by TNF-α Involves Activation of the MKK6/p38MAPK/MK2 Cascade. The Journal of Immunology. 178(5). 2813–2826. 97 indexed citations
9.
Haan, Serge, Patrick Fischer, Fred Schaper, et al.. (2003). Activation of STAT3 by IL-6 and IL-10 in Primary Human Macrophages Is Differentially Modulated by Suppressor of Cytokine Signaling 3. The Journal of Immunology. 170(6). 3263–3272. 290 indexed citations
10.
Bode, Johannes G., Jan Kehrmann, Christian Ehlting, et al.. (2003). TNF-α Induces Tyrosine Phosphorylation and Recruitment of the Src Homology Protein-Tyrosine Phosphatase 2 to the gp130 Signal-Transducing Subunit of the IL-6 Receptor Complex. The Journal of Immunology. 171(1). 257–266. 45 indexed citations
11.
Campbell, Jean S., Lisa Prichard, Fred Schaper, et al.. (2001). Expression of suppressors of cytokine signaling during liver regeneration. Journal of Clinical Investigation. 107(10). 1285–1292. 131 indexed citations
12.
Bode, Johannes G., Richard Fischer, Dieter Häussinger, et al.. (2001). The Inhibitory Effect of IL-1β on IL-6-Induced α2-Macroglobulin Expression Is Due to Activation of NF-κB. The Journal of Immunology. 167(3). 1469–1481. 43 indexed citations
13.
Bode, Johannes G., Stephan Ludwig, Fred Schaper, et al.. (2001). The MKK6/p38 Mitogen-Activated Protein Kinase Pathway Is Capable of Inducing SOCS3 Gene Expression and Inhibits IL-6-Induced Transcription. Biological Chemistry. 382(10). 1447–53. 53 indexed citations
14.
Schmitz, Jochen, et al.. (2001). Interleukin‐6‐induced proliferation of pre‐B cells mediated by receptor complexes lacking the SHP2/SOCS3 recruitment sites revisited. European Journal of Biochemistry. 268(24). 6401–6407. 31 indexed citations
15.
Anhuf, Dirk, Jochen Schmitz, Radoslaw M. Sobota, et al.. (2000). Signal Transduction of IL-6, Leukemia-Inhibitory Factor, and Oncostatin M: Structural Receptor Requirements for Signal Attenuation. The Journal of Immunology. 165(5). 2535–2543. 45 indexed citations
16.
Schmitz, Jochen, et al.. (2000). The Cytoplasmic Tyrosine Motifs in Full-Length Glycoprotein 130 Have Different Roles in IL-6 Signal Transduction. The Journal of Immunology. 164(2). 848–854. 73 indexed citations
17.
Bode, Johannes G., Jochen Schmitz, Fred Schaper, et al.. (1999). LPS and TNFα induce SOCS3 mRNA and inhibit IL‐6‐induced activation of STAT3 in macrophages. FEBS Letters. 463(3). 365–370. 179 indexed citations
18.
Behrmann, Iris, Andreas Timmermann, Heike Dahmen, et al.. (1999). Identification of a Leu-Ile internalization motif within the cytoplasmic domain of the leukaemia inhibitory factor receptor. Biochemical Journal. 339(1). 15–19. 26 indexed citations
20.
Kirchhoff, Sabine, et al.. (1996). Regulation of cell growth by IRF-1 in BHK-21 cells. Cytotechnology. 22(1-3). 147–156. 17 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