Alexander S. Mosig

3.6k total citations · 1 hit paper
74 papers, 2.2k citations indexed

About

Alexander S. Mosig is a scholar working on Molecular Biology, Biomedical Engineering and Immunology. According to data from OpenAlex, Alexander S. Mosig has authored 74 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Biomedical Engineering and 12 papers in Immunology. Recurrent topics in Alexander S. Mosig's work include 3D Printing in Biomedical Research (20 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers) and Gut microbiota and health (7 papers). Alexander S. Mosig is often cited by papers focused on 3D Printing in Biomedical Research (20 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers) and Gut microbiota and health (7 papers). Alexander S. Mosig collaborates with scholars based in Germany, United States and France. Alexander S. Mosig's co-authors include Harald Funke, Knut Rennert, Regine Heller, Martin Raasch, Marko Gröger, Otmar Huber, Petra Büttner, Michael Bauer, Sándor Nietzsche and Michael Kiehntopf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Biomaterials.

In The Last Decade

Alexander S. Mosig

73 papers receiving 2.2k citations

Hit Papers

Short chain fatty acids: ... 2023 2026 2024 2023 50 100 150
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. Short chain fatty acids: key regulators of the local and systemic immune response in inflammatory diseases and infections
    2023 153 citations Alexander S. Mosig et al. Open 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
Alexander S. Mosig Germany 27 787 692 298 263 249 74 2.2k
Min Young Lee South Korea 25 659 0.8× 331 0.5× 190 0.6× 224 0.9× 182 0.7× 122 2.2k
Ying Yang China 29 1.1k 1.4× 518 0.7× 435 1.5× 291 1.1× 155 0.6× 122 2.9k
Gautham Sridharan United States 14 954 1.2× 273 0.4× 168 0.6× 271 1.0× 363 1.5× 28 1.9k
Ziyu Wang China 27 649 0.8× 279 0.4× 164 0.6× 294 1.1× 130 0.5× 139 2.0k
Qing Han China 34 2.1k 2.7× 420 0.6× 320 1.1× 276 1.0× 236 0.9× 133 3.8k
Yuhan Chen China 34 1.8k 2.2× 307 0.4× 256 0.9× 290 1.1× 116 0.5× 179 3.4k
Hu Liu China 25 1.1k 1.5× 766 1.1× 178 0.6× 164 0.6× 98 0.4× 121 2.6k
Xiaoying Fu China 28 1.4k 1.8× 327 0.5× 407 1.4× 217 0.8× 428 1.7× 144 2.6k
Wenyan Wang China 21 776 1.0× 193 0.3× 335 1.1× 248 0.9× 198 0.8× 79 2.0k
Doris M. Haverstick United States 30 1.1k 1.4× 371 0.5× 214 0.7× 139 0.5× 164 0.7× 79 2.6k

Countries citing papers authored by Alexander S. Mosig

Since Specialization
Citations

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

Fields of papers citing papers by Alexander S. Mosig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander S. Mosig. 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 Alexander S. Mosig. The network helps show where Alexander S. Mosig may publish in the future.

Co-authorship network of co-authors of Alexander S. Mosig

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander S. Mosig. A scholar is included among the top collaborators of Alexander S. Mosig 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 Alexander S. Mosig. Alexander S. Mosig 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.
Hoffmann, Bianca, Mark S. Gresnigt, Vanessa R. Marcelino, et al.. (2025). Deciphering respiratory viral infections by harnessing organ-on-chip technology to explore the gut–lung axis. Open Biology. 15(3). 240231–240231. 1 indexed citations
2.
Kapitan, Mario, Maria J. Niemiec, P. Brandt, et al.. (2025). Synergistic interactions between Candida albicans and Enterococcus faecalis promote toxin-dependent host cell damage. Proceedings of the National Academy of Sciences. 122(46). e2505310122–e2505310122.
3.
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
4.
Grandmougin, Léa, et al.. (2024). An Organ‐on‐Chip Platform for Simulating Drug Metabolism Along the Gut–Liver Axis. Advanced Healthcare Materials. 13(20). e2303943–e2303943. 28 indexed citations
5.
6.
Mosig, Alexander S., et al.. (2023). Short chain fatty acids: key regulators of the local and systemic immune response in inflammatory diseases and infections. Open Biology. 13(3). 230014–230014. 153 indexed citations breakdown →
7.
Maaß, Christian, Madalena Cipriano, Joeri Lambrecht, et al.. (2022). Studying metabolism with multi-organ chips: new tools for disease modelling, pharmacokinetics and pharmacodynamics. Open Biology. 12(3). 210333–210333. 33 indexed citations
8.
Cseresnyés, Zoltán, et al.. (2022). Invasive aspergillosis-on-chip: A quantitative treatment study of human Aspergillus fumigatus infection. Biomaterials. 283. 121420–121420. 23 indexed citations
9.
Hölzer, Martin, Martin Ungelenk, Jürgen Thomale, et al.. (2021). RUNX3 Transcript Variants Have Distinct Roles in Ovarian Carcinoma and Differently Influence Platinum Sensitivity and Angiogenesis. Cancers. 13(3). 476–476. 6 indexed citations
10.
Diederich, Benedict, et al.. (2020). A versatile and customizable low-cost 3D-printed open standard for microscopic imaging. Nature Communications. 11(1). 5979–5979. 99 indexed citations
11.
12.
Gröger, Marko, et al.. (2019). CAAP48, a New Sepsis Biomarker, Induces Hepatic Dysfunction in an in vitro Liver-on-Chip Model. Frontiers in Immunology. 10. 273–273. 14 indexed citations
13.
Mosig, Alexander S., et al.. (2018). Functional Analyses of RUNX3 and CaMKIINα in Ovarian Cancer Cell Lines Reveal Tumor-Suppressive Functions for CaMKIINα and Dichotomous Roles for RUNX3 Transcript Variants. International Journal of Molecular Sciences. 19(1). 253–253. 9 indexed citations
14.
Hoffmann, Franziska, Daniel Steinbach, Lars Jansen, et al.. (2017). Tribbles 2 mediates cisplatin sensitivity and DNA damage response in epithelial ovarian cancer. International Journal of Cancer. 141(8). 1600–1614. 35 indexed citations
15.
16.
Gröger, Marko, Knut Rennert, Benjamin Giszas, et al.. (2016). Monocyte-induced recovery of inflammation-associated hepatocellular dysfunction in a biochip-based human liver model. Scientific Reports. 6(1). 21868–21868. 43 indexed citations
17.
18.
Rinkenauer, Alexandra C., Adrian T. Press, Martin Raasch, et al.. (2015). Comparison of the uptake of methacrylate-based nanoparticles in static and dynamic in vitro systems as well as in vivo. Journal of Controlled Release. 216. 158–168. 38 indexed citations
19.
Press, Adrian T., Anja Traeger, Christian Pietsch, et al.. (2014). Cell type-specific delivery of short interfering RNAs by dye-functionalised theranostic nanoparticles. Nature Communications. 5(1). 5565–5565. 55 indexed citations
20.
Frahnow, Turid, Alexander S. Mosig, José Paulo Sampaio, et al.. (2014). Identification of gene-networks associated with specific lipid metabolites by Weighted Gene Co-Expression Network Analysis (WGCNA). Experimental and Clinical Endocrinology & Diabetes. 122(3). 8 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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