Matthias Schweinlin

20 total papers · 834 total citations
16 papers, 636 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 636 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 Barrier Structure and Function Studies (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 Barrier Structure and Function Studies (2 papers). Matthias Schweinlin collaborates with scholars based in Germany, Switzerland and Australia. Matthias Schweinlin's co-authors include Marco Metzger, Tomasz Jüngst, Andrea Ewald, Jürgen Gröll, Kristin Schacht, Thomas Scheibel, Heike Walles, Jan Hansmann, Sabine Wilhelm and Thomas Brunner 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 630 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Matthias Schweinlin	280	179	136	99	99	16	636
Hsin-Hsin Shen	188 0.7×	165 0.9×	140 1.0×	120 1.2×	50 0.5×	26	601
Amélie Thepot	293 1.0×	261 1.5×	65 0.5×	83 0.8×	73 0.7×	24	689
Kangli Cui	481 1.7×	206 1.2×	57 0.4×	84 0.8×	107 1.1×	11	751
Catherine Xie	190 0.7×	237 1.3×	66 0.5×	98 1.0×	44 0.4×	19	672
Kelly R. Rhodes	264 0.9×	297 1.7×	109 0.8×	47 0.5×	122 1.2×	21	710
Kamal Emami	401 1.4×	208 1.2×	36 0.3×	92 0.9×	108 1.1×	15	773
Armin Bayati	265 0.9×	176 1.0×	92 0.7×	65 0.7×	22 0.2×	10	732
Maria Helena Macedo	263 0.9×	148 0.8×	262 1.9×	68 0.7×	71 0.7×	17	622
Azadeh Seidi	320 1.1×	166 0.9×	155 1.1×	72 0.7×	31 0.3×	14	648
Maria M. Xu	321 1.1×	171 1.0×	149 1.1×	102 1.0×	46 0.5×	8	783

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

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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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