Florentine Marx

4.0k total citations
71 papers, 3.3k citations indexed

About

Florentine Marx is a scholar working on Molecular Biology, Microbiology and Pharmacology. According to data from OpenAlex, Florentine Marx has authored 71 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 37 papers in Microbiology and 15 papers in Pharmacology. Recurrent topics in Florentine Marx's work include Antimicrobial Peptides and Activities (37 papers), Biochemical and Structural Characterization (25 papers) and Antifungal resistance and susceptibility (11 papers). Florentine Marx is often cited by papers focused on Antimicrobial Peptides and Activities (37 papers), Biochemical and Structural Characterization (25 papers) and Antifungal resistance and susceptibility (11 papers). Florentine Marx collaborates with scholars based in Austria, Hungary and Germany. Florentine Marx's co-authors include Imrich Blasko, Nikoletta Hegedüs, István Pócsi, Éva Leiter, Ulrike Binder, B. Grubeck‐Loebenstein, László Galgóczy, Marshall Elzinga, R. Heiner Schirmer and Georg E. Schulz and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Florentine Marx

68 papers receiving 3.2k citations

Peers

Florentine Marx
Man‐Wah Tan United States
Lothar Jänsch Germany
Jean‐Paul Noben Belgium
Gianfranco Menestrina Italy
Markus Kalkum United States
Bożena Korczak Switzerland
Régine Maget‐Dana France
Anne H. Delcour United States
P.J. Stogios Canada
Teresa Hong United States
Man‐Wah Tan United States
Florentine Marx
Citations per year, relative to Florentine Marx Florentine Marx (= 1×) peers Man‐Wah Tan

Countries citing papers authored by Florentine Marx

Since Specialization
Citations

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

Fields of papers citing papers by Florentine Marx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florentine Marx

This figure shows the co-authorship network connecting the top 25 collaborators of Florentine Marx. A scholar is included among the top collaborators of Florentine Marx 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 Florentine Marx. Florentine Marx 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.
Czajlik, András, et al.. (2025). Small Disulfide Proteins with Antifungal Impact: NMR Experimental Structures as Compared to Models of Alphafold Versions. International Journal of Molecular Sciences. 26(3). 1247–1247.
2.
Stengel, Daniel, et al.. (2024). Synergistic antimicrobial effect of daptomycin and ethyl lauroyl arginate containing self-emulsifying drug delivery system against bacterial infections. Journal of Drug Delivery Science and Technology. 102. 106324–106324. 1 indexed citations
3.
Marx, Florentine, et al.. (2024). Navigating the fungal battlefield: cysteine-rich antifungal proteins and peptides from Eurotiales. SHILAP Revista de lepidopterología. 5. 1451455–1451455. 4 indexed citations
4.
Zsindely, Nóra, Krisztián Laczi, Csaba Papp, et al.. (2024). The Neosartorya (Aspergillus) fischeri antifungal protein NFAP2 has low potential to trigger resistance development in Candida albicans in vitro. Microbiology Spectrum. 13(1). e0127324–e0127324.
5.
Váradi, Györgyi, Gyula Batta, László Galgóczy, et al.. (2023). Confirmation of the Disulfide Connectivity and Strategies for Chemical Synthesis of the Four-Disulfide-Bond-Stabilized Aspergillus giganteus Antifungal Protein, AFP. Journal of Natural Products. 86(4). 782–790. 3 indexed citations
6.
Hess, Michael W., László Galgóczy, Csaba Papp, et al.. (2022). The Membrane Activity of the Amphibian Temporin B Peptide Analog TB_KKG6K Sheds Light on the Mechanism That Kills Candida albicans. mSphere. 7(5). e0029022–e0029022. 9 indexed citations
7.
Poór, Péter, Attila Ördög, Györgyi Váradi, et al.. (2022). The combination of Neosartorya (Aspergillus) fischeri antifungal proteins with rationally designed γ-core peptide derivatives is effective for plant and crop protection. BioControl. 67(2). 249–262. 15 indexed citations
8.
Huber, Anna, Gregor Oemer, Nermina Malanović, et al.. (2019). Membrane Sphingolipids Regulate the Fitness and Antifungal Protein Susceptibility of Neurospora crassa. Frontiers in Microbiology. 10. 605–605. 25 indexed citations
9.
Váradi, Györgyi, László Galgóczy, Sándor Kocsubé́, et al.. (2018). The Evolutionary Conserved γ-Core Motif Influences the Anti-Candida Activity of the Penicillium chrysogenum Antifungal Protein PAF. Frontiers in Microbiology. 9. 1655–1655. 34 indexed citations
10.
Fizil, Ádám, Alberto Muñoz, Zoltán Gáspári, et al.. (2017). D19S Mutation of the Cationic, Cysteine-Rich Protein PAF: Novel Insights into Its Structural Dynamics, Thermal Unfolding and Antifungal Function. PLoS ONE. 12(1). e0169920–e0169920. 31 indexed citations
11.
12.
Hegedüs, Nikoletta, et al.. (2011). The paf gene product modulates asexual development in Penicillium chrysogenum. Journal of Basic Microbiology. 51(3). 253–262. 38 indexed citations
13.
Binder, Ulrike, et al.. (2009). The antifungal protein PAF interferes with PKC/MPK and cAMP/PKA signalling of Aspergillus nidulans. Molecular Microbiology. 75(2). 294–307. 45 indexed citations
14.
Pfister, Daniela, Katrien De Mulder, Volker Hartenstein, et al.. (2008). Flatworm stem cells and the germ line: Developmental and evolutionary implications of macvasa expression in Macrostomum lignano. Developmental Biology. 319(1). 146–159. 86 indexed citations
15.
Marx, Florentine, Ulrike Binder, Éva Leiter, & István Pócsi. (2007). The Penicillium chrysogenum antifungal protein PAF, a promising tool for the development of new antifungal therapies and fungal cell biology studies. Cellular and Molecular Life Sciences. 65(3). 445–454. 107 indexed citations
16.
Marx, Florentine, et al.. (2004). T cells from elderly persons respond to neoantigenic stimulation with an unimpaired IL-2 production and an enhanced differentiation into effector cells. Experimental Gerontology. 39(4). 597–605. 18 indexed citations
17.
Ladurner, Peter, Daniela Pfister, Christof Seifarth, et al.. (2004). Production and characterisation of cell- and tissue-specific monoclonal antibodies for the flatworm Macrostomum sp.. Histochemistry and Cell Biology. 123(1). 89–104. 38 indexed citations
18.
19.
Saurwein-Teissl, M., Florentine Marx, Imrich Blasko, et al.. (2002). Lack of Antibody Production Following Immunization in Old Age: Association with CD8+CD28− T Cell Clonal Expansions and an Imbalance in the Production of Th1 and Th2 Cytokines. The Journal of Immunology. 168(11). 5893–5899. 382 indexed citations
20.
Haas, Hubertus, Florentine Marx, Stefan Graessle, & Georg Stöffler. (1996). Sequence analysis and expression of thePenicillium chrysogenum nitrate reductase encoding gene (niaD). Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1309(1-2). 81–84. 10 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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