Stefan Düsterhöft
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Peptidase Inhibition and Analysis
- Cytokine Signaling Pathways and Interactions
Papers in
-
- Cell Adhesion Molecules Research 13
- Oncology 24
- HER2/EGFR in Cancer Research 17
- Peptidase Inhibition and Analysis 9
- Cytokine Signaling Pathways and Interactions 8
- Co-authors
- Joachim GrötzingerChristoph GarbersInken LorenzenJuliane LokauMatthew FreemanAndreas LudwigUlrike KünzelStefan Rose‐John
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (5 papers)Scientific Reports (4 papers)Cellular and Molecular Life Sciences (4 papers)The FASEB Journal (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- GermanyUnited KingdomCzechia
In The Last Decade
Stefan Düsterhöft
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Immunology and Allergy 215
- Oncology 442
- Immunology 267
- Molecular Biology 506
- Cancer Research 109
Countries citing papers authored by Stefan Düsterhöft
This map shows the geographic impact of Stefan Düsterhöft'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 Stefan Düsterhöft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Düsterhöft more than expected).
Fields of papers citing papers by Stefan Düsterhöft
This network shows the impact of papers produced by Stefan Düsterhöft. 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 Stefan Düsterhöft. The network helps show where Stefan Düsterhöft may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Düsterhöft, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 14 | |
| 14 | 2020 | 24 | |
| 15 | 2020 | 18 | |
| 16 | 2020 | 27 | |
| 17 | 2017 | 52 | |
| 18 | 2017 | 66 | |
| 19 | 2016 | 133 | |
| 20 | 2012 | 60 |
About Stefan Düsterhöft
Stefan Düsterhöft is a scholar working on Immunology and Allergy, Oncology, Immunology, Cell Biology and Molecular Biology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (17 papers), Cell Adhesion Molecules Research (13 papers), Peptidase Inhibition and Analysis (9 papers), Cytokine Signaling Pathways and Interactions (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Signaling Pathways in Disease (4 papers), Computational Drug Discovery Methods (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology and Allergy (215 citations), Oncology (442 citations), Immunology (267 citations), Molecular Biology (506 citations) and Cancer Research (109 citations). Stefan Düsterhöft has collaborated with scholars based in Germany, United Kingdom and Czechia. Frequent co-authors include Joachim Grötzinger, Christoph Garbers, Inken Lorenzen, Juliane Lokau, Matthew Freeman, Andreas Ludwig, Ulrike Künzel, Stefan Rose‐John, Frank D. Sönnichsen and Andreas Tholey. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Scientific Reports, Cellular and Molecular Life Sciences, The FASEB Journal and Journal of Biological Chemistry.
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.