Dafne Müller

1.8k total citations
44 papers, 1.4k citations indexed

About

Dafne Müller is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Dafne Müller has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Molecular Biology and 18 papers in Oncology. Recurrent topics in Dafne Müller's work include Monoclonal and Polyclonal Antibodies Research (23 papers), Glycosylation and Glycoproteins Research (13 papers) and Immunotherapy and Immune Responses (12 papers). Dafne Müller is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (23 papers), Glycosylation and Glycoproteins Research (13 papers) and Immunotherapy and Immune Responses (12 papers). Dafne Müller collaborates with scholars based in Germany, Chile and United States. Dafne Müller's co-authors include Roland E. Kontermann, Roland Stork, Anette Karle, Ines Höfig, Kirstin A. Zettlitz, Klaus Pfizenmaier, Katharina Frey, Bruno Robert, Ronny Rüger and Miriam Rothdiener and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Journal of Controlled Release.

In The Last Decade

Dafne Müller

44 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dafne Müller Germany 23 781 741 561 502 138 44 1.4k
Shangzi Wang United States 10 522 0.7× 445 0.6× 502 0.9× 480 1.0× 60 0.4× 16 1.2k
Michael Kragh Denmark 23 509 0.7× 488 0.7× 753 1.3× 318 0.6× 137 1.0× 51 1.4k
Chien‐Tsun Kuan United States 23 734 0.9× 468 0.6× 655 1.2× 442 0.9× 128 0.9× 37 1.6k
Peisheng Hu United States 29 722 0.9× 697 0.9× 812 1.4× 986 2.0× 112 0.8× 62 2.0k
Kristine A. Gordon United States 14 471 0.6× 838 1.1× 1.1k 1.9× 435 0.9× 62 0.4× 18 1.8k
Ezogelin Oflazoglu United States 18 463 0.6× 727 1.0× 809 1.4× 703 1.4× 56 0.4× 23 1.7k
Sydney Welt United States 20 680 0.9× 696 0.9× 327 0.6× 329 0.7× 115 0.8× 35 1.3k
Kirstin A. Zettlitz United States 21 380 0.5× 634 0.9× 602 1.1× 426 0.8× 55 0.4× 36 1.3k
Guorong Luo China 15 812 1.0× 366 0.5× 315 0.6× 860 1.7× 52 0.4× 27 1.4k

Countries citing papers authored by Dafne Müller

Since Specialization
Citations

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

Fields of papers citing papers by Dafne Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dafne Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Dafne Müller. A scholar is included among the top collaborators of Dafne Müller 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 Dafne Müller. Dafne Müller 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.
Möller, A, et al.. (2025). Trifunctional antibody-cytokine fusion protein formats for tumor-targeted combination of IL-15 with IL-7 or IL-21. Frontiers in Immunology. 16. 1498697–1498697. 1 indexed citations
2.
Saha, Sarbari, Dafne Müller, & Andrew G. Clark. (2023). Mechanosensory feedback loops during chronic inflammation. Frontiers in Cell and Developmental Biology. 11. 1225677–1225677. 12 indexed citations
3.
Müller, Dafne. (2022). Targeting Co-Stimulatory Receptors of the TNF Superfamily for Cancer Immunotherapy. BioDrugs. 37(1). 21–33. 24 indexed citations
4.
Kontermann, Roland E., et al.. (2019). IL15-Based Trifunctional Antibody-Fusion Proteins with Costimulatory TNF-Superfamily Ligands in the Single-Chain Format for Cancer Immunotherapy. Molecular Cancer Therapeutics. 18(7). 1278–1288. 12 indexed citations
5.
Siegemund, Martin, et al.. (2018). Production, Purification, and Characterization of Antibody-TNF Superfamily Ligand Fusion Proteins. Methods in molecular biology. 1827. 351–364. 2 indexed citations
6.
Kontermann, Roland E., et al.. (2017). Tumor-targeted costimulation with antibody-fusion proteins improves bispecific antibody-mediated immune response in presence of immunosuppressive factors. OncoImmunology. 6(12). e1361594–e1361594. 10 indexed citations
7.
Bäder, S., et al.. (2016). Advancing targeted co-stimulation with antibody-fusion proteins by introducing TNF superfamily members in a single-chain format. OncoImmunology. 5(11). e1238540–e1238540. 25 indexed citations
8.
Keller, Bettina G., Michaela Strotbek, Simone Schmid, et al.. (2014). miR149 Functions as a Tumor Suppressor by Controlling Breast Epithelial Cell Migration and Invasion. Cancer Research. 74(18). 5256–5265. 67 indexed citations
9.
Kontermann, Roland E., et al.. (2013). Combining Antibody-Directed Presentation of IL-15 and 4-1BBL in a Trifunctional Fusion Protein for Cancer Immunotherapy. Molecular Cancer Therapeutics. 13(1). 112–121. 27 indexed citations
10.
Müller, Dafne. (2013). Antibody–Cytokine Fusion Proteins for Cancer Immunotherapy: An Update on Recent Developments. BioDrugs. 28(2). 123–131. 12 indexed citations
11.
Kontermann, Roland E., et al.. (2012). An Antibody Fusion Protein for Cancer Immunotherapy Mimicking IL-15 trans -Presentation at the Tumor Site. Molecular Cancer Therapeutics. 11(6). 1279–1288. 41 indexed citations
12.
Frey, Katharina, et al.. (2012). Combination of a Bispecific Antibody and Costimulatory Antibody-Ligand Fusion Proteins for Targeted Cancer Immunotherapy. Journal of Immunotherapy. 35(5). 418–429. 38 indexed citations
13.
Thiel, Markus, Hiroyoshi Nishikawa, Thomas Wüest, et al.. (2010). Tumor-specific Crosslinking of GITR as Costimulation for Immunotherapy. Journal of Immunotherapy. 33(9). 925–934. 16 indexed citations
14.
Stork, Roland, et al.. (2009). Biodistribution of a Bispecific Single-chain Diabody and Its Half-life Extended Derivatives. Journal of Biological Chemistry. 284(38). 25612–25619. 84 indexed citations
15.
Müller, Dafne, et al.. (2008). Murine endoglin-specific single-chain Fv fragments for the analysis of vascular targeting strategies in mice. Journal of Immunological Methods. 339(1). 90–98. 14 indexed citations
16.
Müller, Dafne, Katharina Frey, & Roland E. Kontermann. (2008). A Novel Antibody–4-1BBL Fusion Protein for Targeted Costimulation in Cancer Immunotherapy. Journal of Immunotherapy. 31(8). 714–722. 37 indexed citations
17.
Müller, Dafne, et al.. (2007). Improved Pharmacokinetics of Recombinant Bispecific Antibody Molecules by Fusion to Human Serum Albumin. Journal of Biological Chemistry. 282(17). 12650–12660. 170 indexed citations
18.
Müller, Dafne, Stephan Lang, Marie Roskrow, & Barbara Wollenberg. (2002). Die Expression der ζ-Kette des T-Zell-Rezeptors als Prognosemarker bei Kopf-Hals-Karzinomen. Laryngo-Rhino-Otologie. 81(7). 516–520. 2 indexed citations
19.
Bustos, Paulina, Natalia Ulloa, Carlos Calvo, et al.. (2000). Monoclonal antibodies to human apolipoproteins: application to the study of high density lipoprotein subpopulations. Clinica Chimica Acta. 299(1-2). 151–167. 2 indexed citations
20.
Fridman, Rafael, et al.. (1990). The role of cell adhesion and migration in the in vitro invasiveness of mouse adrenal carcinoma cells.. PubMed. 10(4). 208–24. 20 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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