Bianka Siewert

1.7k total citations
70 papers, 1.3k citations indexed

About

Bianka Siewert is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Bianka Siewert has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 17 papers in Pharmacology and 16 papers in Pharmacology. Recurrent topics in Bianka Siewert's work include Natural product bioactivities and synthesis (21 papers), Plant biochemistry and biosynthesis (12 papers) and Pharmacological Effects of Natural Compounds (11 papers). Bianka Siewert is often cited by papers focused on Natural product bioactivities and synthesis (21 papers), Plant biochemistry and biosynthesis (12 papers) and Pharmacological Effects of Natural Compounds (11 papers). Bianka Siewert collaborates with scholars based in Austria, Germany and Netherlands. Bianka Siewert's co-authors include René Csük, Štefan Schwarz, Hermann Stuppner, Sylvestre Bonnet, Ralph Kluge, Samantha L. Hopkins, Dieter Ströhl, Sabrina Albert, Sven H. C. Askes and Maxime A. Siegler and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Bianka Siewert

68 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bianka Siewert Austria 22 714 299 190 188 163 70 1.3k
Pavel Drašar Czechia 20 738 1.0× 393 1.3× 96 0.5× 107 0.6× 126 0.8× 158 1.5k
Jiang‐Jiang Tang China 24 681 1.0× 627 2.1× 414 2.2× 127 0.7× 302 1.9× 68 1.9k
Shreyans K. Jain India 22 569 0.8× 376 1.3× 240 1.3× 126 0.7× 175 1.1× 96 1.3k
Dilip M. Mondhe India 20 535 0.7× 185 0.6× 148 0.8× 67 0.4× 105 0.6× 30 1.1k
L. M. Viranga Tillekeratne United States 19 481 0.7× 359 1.2× 123 0.6× 64 0.3× 113 0.7× 80 1.2k
Lenka Marková Czechia 17 728 1.0× 298 1.0× 55 0.3× 105 0.6× 144 0.9× 39 1.4k
Xiaojie Jin China 22 766 1.1× 346 1.2× 199 1.0× 70 0.4× 178 1.1× 87 1.6k
Beáta Lemli Hungary 22 396 0.6× 147 0.5× 120 0.6× 122 0.6× 400 2.5× 59 1.1k
Marcela Haun Brazil 25 700 1.0× 173 0.6× 204 1.1× 326 1.7× 246 1.5× 63 1.6k
Malleshappa N. Noolvi India 28 713 1.0× 1.5k 5.0× 154 0.8× 93 0.5× 104 0.6× 74 2.3k

Countries citing papers authored by Bianka Siewert

Since Specialization
Citations

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

Fields of papers citing papers by Bianka Siewert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianka Siewert

This figure shows the co-authorship network connecting the top 25 collaborators of Bianka Siewert. A scholar is included among the top collaborators of Bianka Siewert 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 Bianka Siewert. Bianka Siewert 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.
Schuster, Daniela, Stefan Martens, Pidder Jansen‐Dürr, et al.. (2025). Microtubule inhibition as a proposed mechanism for the anthelmintic effect of phytochemicals isolated from Cicerbita alpina. Scientific Reports. 15(1). 4108–4108.
2.
May, Tom W., et al.. (2025). Photoantimicrobial anthraquinones in Australian fungi of the genus Cortinarius. Fitoterapia. 182. 106402–106402. 1 indexed citations
3.
Liimatainen, Kare, et al.. (2024). Revised taxon definition in European Cortinarius subgenus Dermocybe based on phylogeny, chemotaxonomy, and morphology. Mycological Progress. 23(1). 26–26. 2 indexed citations
4.
Siewert, Bianka, et al.. (2023). Growth, morphology, and formation of cinnabarin in Pycnoporus cinnabarinus in relation to different irradiation spectra. Photochemical & Photobiological Sciences. 22(12). 2861–2875. 2 indexed citations
5.
Zwerger, Michael, et al.. (2023). Application of feature-based molecular networking in the field of algal research with special focus on mycosporine-like amino acids. Journal of Applied Phycology. 35(3). 1377–1392. 10 indexed citations
6.
Bonnet, Sylvestre, et al.. (2023). Fungal Anthraquinone Photoantimicrobials Challenge the Dogma of Cationic Photosensitizers. Journal of Natural Products. 86(10). 2247–2257. 3 indexed citations
7.
8.
Siewert, Bianka, et al.. (2022). In vitro evaluation of the effects of methanolic plant extracts on the embryonation rate of Ascaridia galli eggs. Veterinary Research Communications. 47(2). 409–419. 9 indexed citations
9.
Zwerger, Michael, et al.. (2021). A convenient separation strategy for fungal anthraquinones by centrifugal partition chromatography. Journal of Separation Science. 45(5). 1031–1041. 5 indexed citations
10.
Quirós-Guerrero, Luis-Manuel, Adriano Rutz, Jean‐Luc Wolfender, et al.. (2021). Feature-Based Molecular Networking—An Exciting Tool to Spot Species of the Genus Cortinarius with Hidden Photosensitizers. Metabolites. 11(11). 791–791. 6 indexed citations
11.
Temml, Veronika, et al.. (2021). N-methylated diazabicyclo[3.2.2]nonane substituted triterpenoic acids are excellent, hyperbolic and selective inhibitors for butyrylcholinesterase. European Journal of Medicinal Chemistry. 227. 113947–113947. 9 indexed citations
12.
Siewert, Bianka, et al.. (2020). The cytotoxicity of brazilin and derivatives might be due to an inhibition of the c-Src-kinase. Mediterranean Journal of Chemistry. 10(8). 1 indexed citations
13.
Serbian, Immo, Bianka Siewert, Ahmed Al‐Harrasi, & René Csük. (2019). 2-O-(2-chlorobenzoyl) maslinic acid triggers apoptosis in A2780 human ovarian carcinoma cells. European Journal of Medicinal Chemistry. 180. 457–464. 10 indexed citations
14.
Heller, Lucie, et al.. (2015). Incorporation of a Michael acceptor enhances the antitumor activity of triterpenoic acids. European Journal of Medicinal Chemistry. 101. 391–399. 40 indexed citations
15.
Schwarz, Štefan, Anne Loesche, Susana D. Lucas, et al.. (2015). Converting maslinic acid into an effective inhibitor of acylcholinesterases. European Journal of Medicinal Chemistry. 103. 438–445. 21 indexed citations
16.
Sommerwerk, Sven, Lucie Heller, Bianka Siewert, & René Csük. (2015). Chemoenzymatic synthesis and cytotoxicity of oenanthotoxin and analogues. Bioorganic & Medicinal Chemistry. 23(17). 5595–5602. 5 indexed citations
17.
Nitsche, Christoph, et al.. (2015). Synthesis and cytotoxic properties of alkynic triterpenoid Mannich compounds. Mediterranean Journal of Chemistry. 4(3). 126–137. 2 indexed citations
18.
Siewert, Bianka, Jana Wiemann, Alexander Köwitsch, & René Csük. (2013). The chemical and biological potential of C ring modified triterpenoids. European Journal of Medicinal Chemistry. 72. 84–101. 50 indexed citations
19.
Schwarz, Štefan, Bianka Siewert, Nuno M. Xavier, et al.. (2013). A “natural” approach: Synthesis and cytoxicity of monodesmosidic glycyrrhetinic acid glycosides. European Journal of Medicinal Chemistry. 72. 78–83. 33 indexed citations
20.
Csük, René, et al.. (2010). Synthesis, Encapsulation and Antitumor Activity of New Betulin Derivatives. Archiv der Pharmazie. 344(1). 37–49. 41 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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