Bianca Sperl

2.5k total citations · 1 hit paper
19 papers, 1.5k citations indexed

About

Bianca Sperl is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Bianca Sperl has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Organic Chemistry. Recurrent topics in Bianca Sperl's work include Chemical Synthesis and Analysis (4 papers), Fibroblast Growth Factor Research (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Bianca Sperl is often cited by papers focused on Chemical Synthesis and Analysis (4 papers), Fibroblast Growth Factor Research (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Bianca Sperl collaborates with scholars based in Germany, United States and Switzerland. Bianca Sperl's co-authors include Thorsten Berg, Angela Hollis, Thomas U. Mayer, Axel Ullrich, Dirk Eick, Judith Müller, Wolfgang Reindl, Rita Wiesinger, Markus H. J. Seifert and Pjotr Knyazev and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Bianca Sperl

18 papers receiving 1.5k citations

Hit Papers

Stattic: A Small-Molecule Inhibitor of STAT3 Activation a... 2006 2026 2012 2019 2006 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stattic: A Small-Molecule Inhibitor of STAT3 Activation and Dimerization
    2006 875 citations Bianca Sperl, Angela Hollis et al. Chemistry & Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bianca Sperl Germany 11 819 722 310 175 145 19 1.5k
Vanessa C. Gray‐Schopfer United Kingdom 7 1.3k 1.6× 733 1.0× 396 1.3× 93 0.5× 195 1.3× 8 1.9k
Darrin D. Stuart United States 25 1.7k 2.1× 819 1.1× 184 0.6× 230 1.3× 241 1.7× 50 2.3k
Ahmed A. Samatar United States 14 1.3k 1.6× 629 0.9× 157 0.5× 229 1.3× 249 1.7× 31 1.7k
Tetsuro Sano Japan 19 706 0.9× 275 0.4× 216 0.7× 118 0.7× 122 0.8× 49 1.4k
Cem Elbi United States 23 1.4k 1.7× 462 0.6× 197 0.6× 68 0.4× 219 1.5× 38 2.2k
Ho-Chou Tu United States 11 1.6k 2.0× 343 0.5× 321 1.0× 75 0.4× 166 1.1× 18 2.0k
Nhu‐An Pham Canada 24 980 1.2× 660 0.9× 172 0.6× 99 0.6× 381 2.6× 56 1.8k
Tassie L. Collins United States 22 616 0.8× 499 0.7× 780 2.5× 118 0.7× 128 0.9× 33 1.6k
J A Double United Kingdom 15 821 1.0× 523 0.7× 185 0.6× 66 0.4× 374 2.6× 29 1.7k
Malin Wickström Sweden 27 1.3k 1.6× 650 0.9× 112 0.4× 96 0.5× 420 2.9× 63 2.2k

Countries citing papers authored by Bianca Sperl

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Sperl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Sperl

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

All Works

19 of 19 papers shown
1.
Schueder, Florian, Johannes Stein, Florian Stehr, et al.. (2019). An order of magnitude faster DNA-PAINT imaging by optimized sequence design and buffer conditions. Nature Methods. 16(11). 1101–1104. 105 indexed citations
2.
Sperl, Bianca, Silvia Gärtner, Tatiana Nedelko, et al.. (2019). Lung cancer stem cells and their aggressive progeny, controlled by EGFR/MIG6 inverse expression, dictate a novel NSCLC treatment approach. Oncotarget. 10(26). 2546–2560. 8 indexed citations
3.
Berg, Angela, Bianca Sperl, & Thorsten Berg. (2019). ATP Inhibits the Transcription Factor STAT5b. ChemBioChem. 20(17). 2227–2231. 6 indexed citations
4.
Lutz, Stefan, Anita M. Hennige, Andreas Peter, et al.. (2018). The Gly385(388)Arg Polymorphism of the FGFR4 Receptor Regulates Hepatic Lipogenesis Under Healthy Diet. The Journal of Clinical Endocrinology & Metabolism. 104(6). 2041–2053. 8 indexed citations
5.
Ulaganathan, Vijay K., Bianca Sperl, Ulf R. Rapp, & Axel Ullrich. (2015). Germline variant FGFR4 p.G388R exposes a membrane-proximal STAT3 binding site. Nature. 528(7583). 570–574. 50 indexed citations
6.
7.
Ulaganathan, Vijay K., et al.. (2014). 446: A gain of function by the cancer-associated FGFR4 c.1162G>A (p.Gly388Arg) variant. European Journal of Cancer. 50. S107–S108.
8.
Sperl, Bianca, Abraham Rothman, Johanna Bussemer, et al.. (2014). 417: Visualization of tumor formation in the WAP-TGFa/FGFR4Arg385 KI breast cancer mouse model. European Journal of Cancer. 50. S99–S100. 1 indexed citations
9.
Friberg, Anders, et al.. (2013). Oral Disinfectants Inhibit Protein–Protein Interactions Mediated by the Anti‐Apoptotic Protein Bcl‐xL and Induce Apoptosis in Human Oral Tumor Cells. Angewandte Chemie International Edition. 52(16). 4487–4491. 17 indexed citations
10.
11.
Hollis, Angela, et al.. (2011). The Natural Product Betulinic Acid Inhibits C/EBP Family Transcription Factors. ChemBioChem. 13(2). 302–307. 9 indexed citations
12.
Wetzel, Stefan, Wolfram Wilk, Samy Chammaa, et al.. (2010). A Scaffold‐Tree‐Merging Strategy for Prospective Bioactivity Annotation of γ‐Pyrones. Angewandte Chemie International Edition. 49(21). 3666–3670. 38 indexed citations
13.
Wetzel, Stefan, Wolfram Wilk, Samy Chammaa, et al.. (2010). A Scaffold‐Tree‐Merging Strategy for Prospective Bioactivity Annotation of γ‐Pyrones. Angewandte Chemie. 122(21). 3748–3752. 12 indexed citations
14.
Sperl, Bianca, Markus H. J. Seifert, & Thorsten Berg. (2009). Natural product inhibitors of protein–protein interactions mediated by Src-family SH2 domains. Bioorganic & Medicinal Chemistry Letters. 19(12). 3305–3309. 41 indexed citations
15.
Grauer, Andreas, et al.. (2009). Binding of phosphorylated peptides and inhibition of their interaction with disease‐relevant human proteins by synthetic metal‐chelate receptors. Journal of Molecular Recognition. 23(3). 329–334. 7 indexed citations
16.
Müller, Judith, et al.. (2008). Discovery of Chromone‐Based Inhibitors of the Transcription Factor STAT5. ChemBioChem. 9(5). 723–727. 118 indexed citations
17.
Wiesinger, Rita, et al.. (2007). Selective Inhibition of c‐Myc/Max Dimerization by a Pyrazolo[1,5‐a]pyrimidine. ChemMedChem. 2(5). 627–630. 69 indexed citations
18.
Sperl, Bianca, et al.. (2006). Stattic: A Small-Molecule Inhibitor of STAT3 Activation and Dimerization. Chemistry & Biology. 13(11). 1235–1242. 875 indexed citations breakdown →
19.
Sperl, Bianca, et al.. (2006). Selective Inhibition of c-Myc/Max Dimerization and DNA Binding by Small Molecules. Chemistry & Biology. 13(7). 745–751. 120 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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