Stephan Grabbe

28.8k total citations · 3 hit papers
357 papers, 16.0k citations indexed

About

Stephan Grabbe is a scholar working on Immunology, Dermatology and Oncology. According to data from OpenAlex, Stephan Grabbe has authored 357 papers receiving a total of 16.0k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Immunology, 107 papers in Dermatology and 98 papers in Oncology. Recurrent topics in Stephan Grabbe's work include Immunotherapy and Immune Responses (103 papers), T-cell and B-cell Immunology (56 papers) and Immune Cell Function and Interaction (39 papers). Stephan Grabbe is often cited by papers focused on Immunotherapy and Immune Responses (103 papers), T-cell and B-cell Immunology (56 papers) and Immune Cell Function and Interaction (39 papers). Stephan Grabbe collaborates with scholars based in Germany, United States and India. Stephan Grabbe's co-authors include Thomas Schwarz, Dirk Schadendorf, Frank O. Nestlé, Günter Burg, Yuansheng Sun, Michel Gilliet, Reinhard Dummer, Selma Alijagic, Thomas A. Luger and Joachim Dissemond and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Stephan Grabbe

339 papers receiving 15.6k citations

Hit Papers

Vaccination of melanoma patients with peptide- or tumorly... 1998 2026 2007 2016 1998 2006 2011 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Grabbe Germany 57 8.7k 4.0k 3.9k 2.5k 1.3k 357 16.0k
Thomas S. Kupper United States 72 11.2k 1.3× 3.7k 0.9× 3.8k 1.0× 5.2k 2.1× 2.5k 1.9× 246 19.3k
Martin Röcken Germany 55 5.4k 0.6× 2.2k 0.6× 2.6k 0.7× 2.6k 1.0× 867 0.7× 270 11.7k
Hiroki Yoshida Japan 54 5.6k 0.6× 7.1k 1.8× 4.4k 1.1× 1.0k 0.4× 828 0.6× 278 16.1k
Louis Boon Netherlands 72 10.3k 1.2× 3.8k 1.0× 3.1k 0.8× 1.2k 0.5× 1.1k 0.9× 376 17.7k
Brian J. Nickoloff United States 76 9.1k 1.0× 5.3k 1.3× 4.4k 1.1× 5.6k 2.2× 1.3k 1.0× 239 19.0k
Cord Sunderkötter Germany 54 4.2k 0.5× 3.7k 0.9× 1.6k 0.4× 1.2k 0.5× 956 0.7× 239 11.4k
Lars E. French Switzerland 70 7.3k 0.8× 6.7k 1.7× 4.4k 1.1× 5.2k 2.0× 701 0.5× 482 21.2k
Jens‐Michael Schröder Germany 51 5.7k 0.7× 3.7k 0.9× 1.1k 0.3× 2.5k 1.0× 1.2k 0.9× 134 12.7k
Jon D. Laman Netherlands 66 7.6k 0.9× 3.6k 0.9× 1.4k 0.4× 1.9k 0.8× 477 0.4× 241 15.9k
Frank O. Nestlé Switzerland 67 18.4k 2.1× 5.0k 1.2× 4.7k 1.2× 7.2k 2.8× 889 0.7× 202 24.1k

Countries citing papers authored by Stephan Grabbe

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Grabbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Grabbe

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Grabbe. A scholar is included among the top collaborators of Stephan Grabbe 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 Stephan Grabbe. Stephan Grabbe 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.
Fichter, Michael, Alexander Fuchs, Paul M. Schneider, et al.. (2025). Unfolding and Degradation of Micellar Immunodrug Carriers Derived From End Group Modified Aliphatic Poly(Carbonate)s with Acid‐Responsive Ketal Side Groups. Advanced Materials. 38(8). e11752–e11752.
2.
Grabbe, Stephan, et al.. (2025). Cutaneous Squamous Cell Carcinoma Risk Factors: Are Current Criteria Still Valid? A Retrospective, Monocenter Analysis. Life. 15(8). 1257–1257. 1 indexed citations
3.
Klein, Matthias, Maximilian Haist, Tobias Sinnberg, et al.. (2025). Constitutive expression of the transcriptional co-activator IκBζ promotes melanoma growth and immunotherapy resistance. Nature Communications. 16(1). 5387–5387.
4.
Karataylı, Ersin, et al.. (2025). Curcumin and Its Derivatives in Hepatology: Therapeutic Potential and Advances in Nanoparticle Formulations. Cancers. 17(3). 484–484. 2 indexed citations
5.
6.
Fuchs, Alexander, Konrad Maxeiner, Pia Winterwerber, et al.. (2024). Introducing Degradable Cationic Nanogels Carrying TLR9 Stimulating Oligonucleotides. Small. 21(4). e2406082–e2406082. 2 indexed citations
7.
Kippenberger, Stefan, Johannes Kleemann, Henner Stege, et al.. (2024). Exploring the Thoughts, Needs and Fears of Chemotherapy Patients—An Analysis Based on Google Search Behavior. Healthcare. 12(17). 1689–1689. 1 indexed citations
8.
Schneider, Paul M., Michael Fichter, Federica De Lorenzi, et al.. (2024). A hepatocellular carcinoma model with and without parenchymal liver damage that integrates technical and pathophysiological advantages for therapy testing. Pharmacological Research. 211. 107560–107560. 2 indexed citations
10.
Daveluy, Steven, George Kroumpouzos, Indrashis Podder, et al.. (2022). Efficacy and Toxicity of Classical Immunosuppressants, Retinoids and Biologics in Hidradenitis Suppurativa. Journal of Clinical Medicine. 11(3). 670–670. 6 indexed citations
11.
Raker, Verena, Detlef Becker, Matthias Bros, et al.. (2022). Protease‐ and cell type–specific activation of protease‐activated receptor 2 in cutaneous inflammation. Journal of Thrombosis and Haemostasis. 20(12). 2823–2836. 8 indexed citations
13.
Podder, Indrashis, Robert A. Schwartz, Uwe Wollina, et al.. (2021). Simvastatin in vitiligo: an update with recent review of the literature. International Journal of Dermatology. 60(10). e390–e396. 8 indexed citations
14.
Ring, Sabine, Yutaka Inaba, Tobias Bopp, et al.. (2021). Regulatory T Cells Prevent Neutrophilic Infiltration of Skin during Contact Hypersensitivity Reactions by Strengthening the Endothelial Barrier. Journal of Investigative Dermatology. 141(8). 2006–2017. 12 indexed citations
17.
Salimi, Sohrab, Paul S. Yamauchi, Jeffrey M Weinberg, et al.. (2020). Interleukin 23p19 inhibitors in chronic plaque psoriasis with focus on mirikizumab: A narrative review. Dermatologic Therapy. 33(4). e13800–e13800. 7 indexed citations
18.
Galadari, Hassan, Martin Kassir, Mrinal Gupta, et al.. (2020). Complication of Soft Tissue Fillers: Prevention and Management Review. Journal of Drugs in Dermatology. 19(9). 829–832. 14 indexed citations
19.
Wilden, Sophia, Andrea Tuettenberg, Petra Staubach, et al.. (2019). Combined treatment of hidradenitis suppurativa with intense pulsed light (IPL) and radiofrequency (RF). Journal of Dermatological Treatment. 32(5). 530–537. 24 indexed citations
20.
Fischer, Karl, Kaloian Koynov, Matthias Bros, et al.. (2014). Selective Uptake of Cylindrical Poly(2‐Oxazoline) Brush‐AntiDEC205 Antibody‐OVA Antigen Conjugates into DEC‐Positive Dendritic Cells and Subsequent T‐Cell Activation. Chemistry - A European Journal. 20(39). 12405–12410. 39 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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