Bianca Sperl

25 total papers · 2.5k total citations
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), Cytokine Signaling Pathways and Interactions (4 papers) and Fibroblast Growth Factor Research (4 papers). Bianca Sperl is often cited by papers focused on Chemical Synthesis and Analysis (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Fibroblast Growth Factor Research (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, Judith Müller, Wolfgang Reindl, Dirk Eick, Rita Wiesinger, Markus H. J. Seifert and Johannes Stein 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... 2006 2026 2012 2019 2006 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bianca Sperl 816 721 310 174 144 19 1.5k
Vito W. Rebecca 1.0k 1.3× 663 0.9× 223 0.7× 140 0.8× 120 0.8× 28 1.4k
Sungman Park 903 1.1× 365 0.5× 208 0.7× 122 0.7× 286 2.0× 18 1.6k
Robert Hayward 1.7k 2.1× 814 1.1× 273 0.9× 178 1.0× 213 1.5× 21 2.1k
J A Double 822 1.0× 523 0.7× 184 0.6× 66 0.4× 374 2.6× 29 1.7k
Vanessa C. Gray‐Schopfer 1.3k 1.6× 731 1.0× 396 1.3× 93 0.5× 195 1.4× 8 1.9k
Wilma M. McKoy 1.2k 1.5× 719 1.0× 177 0.6× 292 1.7× 229 1.6× 14 2.1k
Rudi Bao 1.0k 1.2× 450 0.6× 122 0.4× 117 0.7× 139 1.0× 19 1.5k
Armin Neininger 1.3k 1.6× 517 0.7× 582 1.9× 118 0.7× 329 2.3× 15 2.0k
Ahmed A. Samatar 1.3k 1.6× 629 0.9× 157 0.5× 229 1.3× 246 1.7× 28 1.7k
Tetsuro Sano 706 0.9× 275 0.4× 216 0.7× 119 0.7× 123 0.9× 49 1.4k

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

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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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