Fred Schaper
- Immunology top 0.5%
- interferon and immune responses 17
- Immune Response and Inflammation 9
- Oncology top 0.2%
- Cytokine Signaling Pathways and Interactions 73
- Pharmacology top 0.5%
- Pharmacological Effects of Natural Compounds 11
- Cancer Research top 1%
- NF-κB Signaling Pathways 15
- Hepatology top 2%
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- Protein Tyrosine Phosphatases 27
- Gene Regulatory Network Analysis 6
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- Bioactive Compounds and Antitumor Agents 6
- Co-authors
- Peter C. HeinrichGerhard Müller‐NewenIris BehrmannSerge HaanHeike M. HermannsLutz GraeveStefan Rose‐JohnJohannes G. Bode
- Cited by
- ImmunologyOncologyPharmacology
- Journals
- Journal of Biological Chemistry (11 papers)Biochemical Journal (10 papers)Cellular Signalling (7 papers)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Fred Schaper
95 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Immunology 4.3k
- Oncology 5.0k
- Pharmacology 715
- Cancer Research 1.2k
- Hepatology 464
Countries citing papers authored by Fred Schaper
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
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
The 25 scholars most cited alongside Fred Schaper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2021 | 35 | |
| 3 | 2019 | 43 | |
| 4 | 2018 | 23 | |
| 5 | 2016 | 39 | |
| 6 | 2013 | 14 | |
| 7 | 2012 | 28 | |
| 8 | 2011 | 20 | |
| 9 | 2007 | 97 | |
| 10 | 2005 | 33 | |
| 11 | 2004 | 43 | |
| 12 | 2003 | 290 | |
| 13 | 2003 | 45 | |
| 14 | 2001 | 43 | |
| 15 | 2001 | 131 | |
| 16 | 2001 | 53 | |
| 17 | 2000 | 45 | |
| 18 | 2000 | 73 | |
| 19 | 1999 | 179 | |
| 20 | 1996 | 17 |
About Fred Schaper
Fred Schaper is a scholar working on Oncology, Toxicology, Immunology, Pharmacology and Cancer Research, having authored 96 papers that have together received 9.9k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (73 papers), Protein Tyrosine Phosphatases (27 papers), interferon and immune responses (17 papers), NF-κB Signaling Pathways (15 papers), Pharmacological Effects of Natural Compounds (11 papers), Immune Response and Inflammation (9 papers), Bioactive Compounds and Antitumor Agents (6 papers) and Gene Regulatory Network Analysis (6 papers). The work is most often cited by research in Immunology (4.3k citations), Oncology (5.0k citations), Pharmacology (715 citations), Cancer Research (1.2k citations) and Hepatology (464 citations). Fred Schaper has collaborated with scholars based in Germany, United States and Belgium. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Cellular Signalling, The Journal of Immunology and Cell Communication and Signaling.
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.