Susanne Kubetzko

2.1k total citations
8 papers, 535 citations indexed

About

Susanne Kubetzko is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Susanne Kubetzko has authored 8 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Infectious Diseases. Recurrent topics in Susanne Kubetzko's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Mycobacterium research and diagnosis (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Susanne Kubetzko is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Mycobacterium research and diagnosis (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Susanne Kubetzko collaborates with scholars based in Switzerland, Germany and United States. Susanne Kubetzko's co-authors include Andreas Plückthun, Uwe Zangemeister‐Wittke, Robert Waibel, Casim A. Sarkar, Jörg Willuda, Harald Engelhardt, Silke Seeber, Michael Niederweis, P. August Schubiger and Rolf A. Stahel and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Microbiology and Molecular Pharmacology.

In The Last Decade

Susanne Kubetzko

8 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susanne Kubetzko Switzerland 6 297 245 96 96 90 8 535
Rachel P. Galimidi United States 13 355 1.2× 266 1.1× 40 0.4× 92 1.0× 248 2.8× 15 727
Mariela Urrutia Argentina 12 453 1.5× 428 1.7× 89 0.9× 51 0.5× 225 2.5× 18 798
Pauline Malinge Switzerland 13 397 1.3× 304 1.2× 146 1.5× 59 0.6× 277 3.1× 24 788
Mandy Unger Germany 5 326 1.1× 330 1.3× 138 1.4× 37 0.4× 211 2.3× 5 641
Vanina Alzogaray Argentina 8 357 1.2× 405 1.7× 67 0.7× 38 0.4× 207 2.3× 9 649
Edward Dolk Netherlands 10 250 0.8× 168 0.7× 35 0.4× 54 0.6× 80 0.9× 15 431
T. Noelle Lombana United States 10 259 0.9× 164 0.7× 96 1.0× 50 0.5× 104 1.2× 13 435
Martina L. Jones Australia 15 454 1.5× 348 1.4× 97 1.0× 32 0.3× 98 1.1× 39 786
Mark Schütte Germany 9 295 1.0× 325 1.3× 34 0.4× 55 0.6× 128 1.4× 10 507
Djenet Bousbaine United States 11 272 0.9× 67 0.3× 97 1.0× 94 1.0× 148 1.6× 15 589

Countries citing papers authored by Susanne Kubetzko

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Kubetzko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Kubetzko

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

All Works

8 of 8 papers shown
1.
Dantonello, Tobias M., Mutlu Kartal‐Kaess, Christoph Aebi, et al.. (2020). SARS-CoV-2 Infection During Induction Chemotherapy in a Child With High-risk T-Cell Acute Lymphoblastic Leukemia. Journal of Pediatric Hematology/Oncology. 43(6). e804–e807. 4 indexed citations
2.
Kubetzko, Susanne, et al.. (2006). PEGylation and Multimerization of the Anti-p185HER-2 Single Chain Fv Fragment 4D5. Journal of Biological Chemistry. 281(46). 35186–35201. 91 indexed citations
3.
Kubetzko, Susanne, et al.. (2005). MspA provides the main hydrophilic pathway through the cell wall of Mycobacterium smegmatis (vol 40, pg 451, 2001). Max Planck Institute for Plasma Physics. 57(5). 1509–1509. 8 indexed citations
4.
Kubetzko, Susanne, Casim A. Sarkar, & Andreas Plückthun. (2005). Protein PEGylation Decreases Observed Target Association Rates via a Dual Blocking Mechanism. Molecular Pharmacology. 68(5). 1439–1454. 108 indexed citations
5.
Kubetzko, Susanne, et al.. (2005). MspA provides the main hydrophilic pathway through the cell wall of Mycobacterium smegmatis. Molecular Microbiology. 57(5). 1509–1509. 3 indexed citations
6.
Willuda, Jörg, Susanne Kubetzko, Robert Waibel, et al.. (2003). A recombinant immunotoxin derived from a humanized epithelial cell adhesion molecule-specific single-chain antibody fragment has potent and selective antitumor activity.. PubMed. 9(7). 2837–48. 113 indexed citations
7.
Willuda, Jörg, Susanne Kubetzko, Robert Waibel, et al.. (2001). Tumor Targeting of Mono-, Di-, and Tetravalent Anti-p185HER-2 Miniantibodies Multimerized by Self-associating Peptides. Journal of Biological Chemistry. 276(17). 14385–14392. 78 indexed citations
8.
Kubetzko, Susanne, et al.. (2001). MspA provides the main hydrophilic pathway through the cell wall of Mycobacterium smegmatis. Molecular Microbiology. 40(2). 451–464. 130 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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