Matthias Schweinlin

840 total citations
16 papers, 641 citations indexed

About

Matthias Schweinlin is a scholar working on Biomedical Engineering, Surgery and Biomaterials. According to data from OpenAlex, Matthias Schweinlin has authored 16 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Surgery and 4 papers in Biomaterials. Recurrent topics in Matthias Schweinlin's work include 3D Printing in Biomedical Research (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Reproductive tract infections research (2 papers). Matthias Schweinlin is often cited by papers focused on 3D Printing in Biomedical Research (7 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Reproductive tract infections research (2 papers). Matthias Schweinlin collaborates with scholars based in Germany, Australia and Switzerland. Matthias Schweinlin's co-authors include Marco Metzger, Andrea Ewald, Tomasz Jüngst, Kristin Schacht, Thomas Scheibel, Jürgen Gröll, Heike Walles, Jan Hansmann, Sabine Wilhelm and Christian Jurowich and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Clinical Investigation and Gastroenterology.

In The Last Decade

Matthias Schweinlin

16 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Schweinlin Germany 13 283 180 136 101 99 16 641
Dong‐Yeon Kim South Korea 18 325 1.1× 234 1.3× 109 0.8× 63 0.6× 295 3.0× 66 974
Kangli Cui China 9 489 1.7× 209 1.2× 59 0.4× 107 1.1× 84 0.8× 11 763
Victoria L. Workman United Kingdom 14 306 1.1× 201 1.1× 176 1.3× 38 0.4× 109 1.1× 24 827
Dorothée Siuda United States 4 376 1.3× 248 1.4× 71 0.5× 243 2.4× 178 1.8× 5 741
Armin Bayati Canada 8 265 0.9× 177 1.0× 92 0.7× 22 0.2× 66 0.7× 10 740
Suran Kim South Korea 13 527 1.9× 245 1.4× 157 1.2× 217 2.1× 269 2.7× 26 982
Kamal Emami United States 11 404 1.4× 208 1.2× 36 0.3× 108 1.1× 92 0.9× 15 776
M. Cornelissen Belgium 18 132 0.5× 292 1.6× 92 0.7× 61 0.6× 132 1.3× 43 912
Keren Kaufman‐Francis Australia 14 314 1.1× 465 2.6× 229 1.7× 192 1.9× 304 3.1× 19 1.1k
Aaron H. Morris United States 16 197 0.7× 190 1.1× 210 1.5× 90 0.9× 273 2.8× 26 784

Countries citing papers authored by Matthias Schweinlin

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Schweinlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Schweinlin

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

All Works

16 of 16 papers shown
1.
Schweinlin, Matthias, Thomas Schwarz, Heike Walles, et al.. (2021). Triple co-culture and perfusion bioreactor for studying the interaction between Neisseria gonorrhoeae and neutrophils: A novel 3D tissue model for bacterial infection and immunity. Journal of Tissue Engineering. 12. 2752718210–2752718210. 9 indexed citations
2.
Meir, Michael, Matthias Schweinlin, Christoph‐Thomas Germer, et al.. (2020). Enteroids Generated from Patients with Severe Inflammation in Crohn’s Disease Maintain Alterations of Junctional Proteins. Journal of Crohn s and Colitis. 14(10). 1473–1487. 32 indexed citations
3.
Svensson, Sarah L., et al.. (2020). A three-dimensional intestinal tissue model reveals factors and small regulatory RNAs important for colonization with Campylobacter jejuni. PLoS Pathogens. 16(2). e1008304–e1008304. 22 indexed citations
4.
Schulte, Leon N., Matthias Schweinlin, Alexander J. Westermann, et al.. (2020). An Advanced Human Intestinal Coculture Model Reveals Compartmentalized Host and Pathogen Strategies during Salmonella Infection. mBio. 11(1). 23 indexed citations
5.
Mueller, Stefanie, et al.. (2019). A Fast and Simple Fluorometric Method to Detect Cell Death in 3D Intestinal Organoids. BioTechniques. 67(1). 23–28. 36 indexed citations
6.
Meir, Michael, Natalie Burkard, Markus E. Diefenbacher, et al.. (2019). Neurotrophic factor GDNF regulates intestinal barrier function in inflammatory bowel disease. Journal of Clinical Investigation. 129(7). 2824–2840. 72 indexed citations
7.
Yang, Tao, Matthias Schweinlin, Maria Steinke, et al.. (2019). Biomimetic Human Tissue Model for Long-Term Study of Neisseria gonorrhoeae Infection. Frontiers in Microbiology. 10. 1740–1740. 12 indexed citations
8.
Schweinlin, Matthias, Christian Lotz, Florian Groeber‐Becker, et al.. (2018). Nanostructured TiN-Coated Electrodes for High-Sensitivity Noninvasive Characterization of in Vitro Tissue Models. ACS Applied Nano Materials. 1(5). 2284–2293. 11 indexed citations
9.
Burghartz, Marc, Simon Lennartz, Matthias Schweinlin, et al.. (2017). Development of Human Salivary Gland-Like Tissue In Vitro. Tissue Engineering Part A. 24(3-4). 301–309. 15 indexed citations
10.
Schweinlin, Matthias, Sabine Wilhelm, Jan Hansmann, et al.. (2016). Development of an Advanced Primary Human In Vitro Model of the Small Intestine. Tissue Engineering Part C Methods. 22(9). 873–883. 83 indexed citations
11.
Baleeiro, Renato B., Matthias Schweinlin, Natalie E. Göppert, et al.. (2016). Nanoparticle-Based Mucosal Vaccines Targeting Tumor-Associated Antigens to Human Dendritic Cells. Journal of Biomedical Nanotechnology. 12(7). 1527–1543. 14 indexed citations
12.
Grabinger, Thomas, M. Eugenia Delgado, Feodora Ivanova Kostadinova, et al.. (2016). Inhibitor of Apoptosis Protein-1 Regulates Tumor Necrosis Factor–Mediated Destruction of Intestinal Epithelial Cells. Gastroenterology. 152(4). 867–879. 57 indexed citations
13.
Schweinlin, Matthias, Christian Lotz, Stephan Hackenberg, et al.. (2016). Human barrier models for the in vitro assessment of drug delivery. Drug Delivery and Translational Research. 7(2). 217–227. 30 indexed citations
14.
Schwarz, Thomas, et al.. (2016). A versatile modular bioreactor platform for Tissue Engineering. Biotechnology Journal. 12(2). 22 indexed citations
15.
Schacht, Kristin, Tomasz Jüngst, Matthias Schweinlin, et al.. (2015). Biofabrication of Cell‐Loaded 3D Spider Silk Constructs. Angewandte Chemie International Edition. 54(9). 2816–2820. 197 indexed citations
16.
Schacht, Kristin, Tomasz Jüngst, Matthias Schweinlin, et al.. (2015). Dreidimensional gedruckte, zellbeladene Konstrukte aus Spinnenseide. Angewandte Chemie. 127(9). 2858–2862. 6 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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