Katja Graf

515 total citations
9 papers, 363 citations indexed

About

Katja Graf is a scholar working on Molecular Biology, Infectious Diseases and Food Science. According to data from OpenAlex, Katja Graf has authored 9 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Food Science. Recurrent topics in Katja Graf's work include Antifungal resistance and susceptibility (4 papers), Probiotics and Fermented Foods (4 papers) and Gut microbiota and health (4 papers). Katja Graf is often cited by papers focused on Antifungal resistance and susceptibility (4 papers), Probiotics and Fermented Foods (4 papers) and Gut microbiota and health (4 papers). Katja Graf collaborates with scholars based in Germany, Switzerland and United States. Katja Graf's co-authors include Bernhard Hube, Mark S. Gresnigt, Ilse D. Jacobsen, Alexander S. Mosig, Marko Gröger, Selene Mogavero, Martin Raasch, Marc Thilo Figge, Anna Medyukhina and Sándor Nietzsche and has published in prestigious journals such as Nature Communications, Biomaterials and Scientific Reports.

In The Last Decade

Katja Graf

8 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katja Graf Germany	7	168	140	118	92	63	9	363
Anand Srinivasan United States	7	120 0.7×	255 1.8×	44 0.4×	53 0.6×	141 2.2×	7	385
Romeu Viana Portugal	9	227 1.4×	160 1.1×	45 0.4×	50 0.5×	103 1.6×	14	374
Mónica Galocha Portugal	10	234 1.4×	178 1.3×	41 0.3×	48 0.5×	119 1.9×	14	401
Fernanda Freire Brazil	13	83 0.5×	173 1.2×	135 1.1×	68 0.7×	63 1.0×	19	408
G. W. Emerson New Zealand	9	177 1.1×	269 1.9×	52 0.4×	64 0.7×	158 2.5×	9	533
Mintao Zhong China	9	163 1.0×	37 0.3×	74 0.6×	31 0.3×	38 0.6×	11	375
Grazyna J. Sosinska Netherlands	6	202 1.2×	281 2.0×	22 0.2×	68 0.7×	167 2.7×	7	417
Takahiro Oura Japan	11	209 1.2×	113 0.8×	30 0.3×	31 0.3×	126 2.0×	18	392
David F. Woods Ireland	13	213 1.3×	42 0.3×	20 0.2×	62 0.7×	42 0.7×	22	413
Randall J. Massey United States	7	196 1.2×	258 1.8×	19 0.2×	50 0.5×	134 2.1×	7	482

Countries citing papers authored by Katja Graf

Since Specialization

Citations

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

Fields of papers citing papers by Katja Graf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Graf

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

All Works

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9 of 9 papers shown

Graf, Katja, José M. Murrieta-Coxca, Thomas Vogt, et al.. (2025). Digital twin-enhanced three-organ microphysiological system for studying drug pharmacokinetics in pregnant women. Frontiers in Pharmacology. 16. 1528748–1528748. 3 indexed citations

Mosig, Alexander S., Katja Graf, Martin Raasch, et al.. (2024). Modeling of intravenous caspofungin administration using an intestine-on-chip reveals altered Candida albicans microcolonies and pathogenicity. Biomaterials. 307. 122525–122525. 8 indexed citations

Graf, Katja, et al.. (2023). Evaluation of drug-induced liver toxicity of trovafloxacin and levofloxacin in a human microphysiological liver model. Scientific Reports. 13(1). 13338–13338. 13 indexed citations

Møller, Lars, Peter Großmann, Katja Graf, et al.. (2022). Lactobacillus rhamnosus colonisation antagonizes Candida albicans by forcing metabolic adaptations that compromise pathogenicity. Nature Communications. 13(1). 3192–3192. 64 indexed citations

Allert, Stefanie, Maria J. Niemiec, Katja Graf, et al.. (2020). Fungal biotin homeostasis is essential for immune evasion after macrophage phagocytosis and virulence. Cellular Microbiology. 22(7). e13197–e13197. 21 indexed citations

Gresnigt, Mark S., Zoltán Cseresnyés, Anna Medyukhina, et al.. (2019). A three-dimensional immunocompetent intestine-on-chip model as in vitro platform for functional and microbial interaction studies. Biomaterials. 220. 119396–119396. 145 indexed citations

Graf, Katja, Stefanie Allert, Susanne Linde, et al.. (2019). Keeping Candida commensal: how lactobacilli antagonize pathogenicity of Candida albicans in an in vitro gut model. Disease Models & Mechanisms. 12(9). 60 indexed citations

Förster, Toni M., Selene Mogavero, Katja Graf, et al.. (2016). Enemies and brothers in arms:Candida albicansand gram-positive bacteria. Cellular Microbiology. 18(12). 1709–1715. 48 indexed citations

Graf, Katja. (1963). [On a case of keratomycosis of the human cornea caused by Candida albicans].. PubMed. 142. 578–81. 1 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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