Stefan Düsterhöft

1.6k citations
38 papers · 1.1k · h-index 18

Impact in

    • Cell Adhesion Molecules Research
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Peptidase Inhibition and Analysis
    • Cytokine Signaling Pathways and Interactions

Papers in

    • HER2/EGFR in Cancer Research 17
    • Peptidase Inhibition and Analysis 9
    • Cytokine Signaling Pathways and Interactions 8
    • Signaling Pathways in Disease 4

Stefan Düsterhöft

36 papers receiving 1.1k citations

Peers

Stefan Düsterhöft
Comparison fields: 5 of 87
  • Immunology and Allergy 207
  • Oncology 425
  • Immunology 250
  • Cancer Research 102
  • Molecular Biology 472
Replace Priya D. Issuree with:
Priya D. Issuree United States
Sylvain M. Le Gall France
Yaping Sun United States
Yuya Terashima Japan
Gediminas Greicius Singapore
Amy Herrera United States
Richard DeMarco United States
Charlotte M. Vines United States
Lucia De Monte Italy
Konstantina Alexandropoulos United States
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Citations per field
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Citations per year

Countries citing papers authored by Stefan Düsterhöft

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Stefan Düsterhöft Line = papers co-authored together Stefan Düsterhöft links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016135
2 201686
3 201981
4 201676
5 201371
6 201766
7 201260
8 201460
9 201752
10 201548
11 201942
12 202029
13 202129
14 202225
15 202025
16 202019
17 201719
18 202318
19 202015
20 202114

About Stefan Düsterhöft

Stefan Düsterhöft is a scholar working on Oncology, Molecular Biology, Immunology and Allergy, Immunology and Radiology, Nuclear Medicine and Imaging, 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 (207 citations), Oncology (425 citations), Immunology (250 citations), Cancer Research (102 citations) and Molecular Biology (472 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, Aaron Babendreyer and Frank D. Sönnichsen. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Cellular and Molecular Life Sciences, Scientific Reports, 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.

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