Steffen Dickopf

1.2k total citations
9 papers, 459 citations indexed

About

Steffen Dickopf is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Steffen Dickopf has authored 9 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Steffen Dickopf's work include CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immune Cell Function and Interaction (3 papers). Steffen Dickopf is often cited by papers focused on CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immune Cell Function and Interaction (3 papers). Steffen Dickopf collaborates with scholars based in Germany, Switzerland and United States. Steffen Dickopf's co-authors include Ulrich Brinkmann, Annika L. Gable, Andrew D. Smith, Alissa M. Williams, Nicolas Erard, J. Chuck Harrell, John E. Wilkinson, Christina Hartl, Gregory J. Hannon and Sun Y. Kim and has published in prestigious journals such as Nature, Nature Communications and Blood.

In The Last Decade

Steffen Dickopf

9 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steffen Dickopf Germany 6 276 218 175 68 63 9 459
Adilson Fonseca Teixeira Australia 7 294 1.1× 166 0.8× 161 0.9× 52 0.8× 107 1.7× 17 486
Anna N. Cvrljevic Australia 5 194 0.7× 161 0.7× 96 0.5× 62 0.9× 49 0.8× 6 391
Amato Giaccia United States 5 235 0.9× 136 0.6× 289 1.7× 38 0.6× 74 1.2× 6 486
Sara Corvigno United States 13 226 0.8× 228 1.0× 146 0.8× 29 0.4× 74 1.2× 37 466
Marta Giussani Italy 9 171 0.6× 200 0.9× 106 0.6× 35 0.5× 50 0.8× 16 391
Philipp Große-Gehling Germany 6 175 0.6× 262 1.2× 98 0.6× 68 1.0× 36 0.6× 6 412
Aaron M. Muscarella United States 6 146 0.5× 355 1.6× 105 0.6× 50 0.7× 73 1.2× 9 454
Yumi Kinugasa Japan 9 273 1.0× 254 1.2× 106 0.6× 40 0.6× 65 1.0× 10 472
P. Y. Wen United States 5 194 0.7× 182 0.8× 138 0.8× 33 0.5× 81 1.3× 5 506
Jason M. Beckta United States 10 366 1.3× 195 0.9× 76 0.4× 48 0.7× 32 0.5× 27 544

Countries citing papers authored by Steffen Dickopf

Since Specialization
Citations

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

Fields of papers citing papers by Steffen Dickopf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffen Dickopf

This figure shows the co-authorship network connecting the top 25 collaborators of Steffen Dickopf. A scholar is included among the top collaborators of Steffen Dickopf 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 Steffen Dickopf. Steffen Dickopf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Dickopf, Steffen, R. F. Rosenberger, M Fischer, et al.. (2024). Generation of binder-format-payload conjugate-matrices by antibody chain-exchange. Nature Communications. 15(1). 9406–9406. 2 indexed citations
2.
Dickopf, Steffen, et al.. (2023). Targeted chain-exchange-mediated reconstitution of a split type-I cytokine for conditional immunotherapy. mAbs. 15(1). 2245111–2245111. 5 indexed citations
3.
Dickopf, Steffen, et al.. (2022). Spatially Confined T-Cell Mediated Anti-AML Tumor Immunity By Dual Recognition Antibodies (CD123/CD200). Blood. 140(Supplement 1). 2249–2250. 1 indexed citations
4.
Dickopf, Steffen, Guy Georges, Carina Hage, et al.. (2022). Prodrug-Activating Chain Exchange (PACE) converts targeted prodrug derivatives to functional bi- or multispecific antibodies. Biological Chemistry. 403(5-6). 495–508. 12 indexed citations
5.
Dickopf, Steffen, Guy Georges, & Ulrich Brinkmann. (2020). Format and geometries matter: Structure-based design defines the functionality of bispecific antibodies. Computational and Structural Biotechnology Journal. 18. 1221–1227. 51 indexed citations
6.
Weidle, Ulrich H., Steffen Dickopf, Corinna Hintermair, et al.. (2018). The Role of micro RNAs in Breast Cancer Metastasis: Preclinical Validation and Potential Therapeutic Targets. Cancer Genomics & Proteomics. 15(1). 17–39. 53 indexed citations
7.
Dickopf, Steffen, Matthias E. Lauer, Philippe Ringler, et al.. (2018). Highly flexible, IgG-shaped, trivalent antibodies effectively target tumor cells and induce T cell-mediated killing. Biological Chemistry. 400(3). 343–350. 11 indexed citations
9.
Wagenblast, Elvin, Christina Hartl, Annika L. Gable, et al.. (2015). A model of breast cancer heterogeneity reveals vascular mimicry as a driver of metastasis. Nature. 520(7547). 358–362. 310 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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