Maximilian Seuß

16 total papers · 528 total citations
14 papers, 448 citations indexed

About

Maximilian Seuß is a scholar working on Surfaces, Coatings and Films, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Maximilian Seuß has authored 14 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surfaces, Coatings and Films, 6 papers in Biomedical Engineering and 4 papers in Biomaterials. Recurrent topics in Maximilian Seuß's work include Polymer Surface Interaction Studies (5 papers), Silk-based biomaterials and applications (3 papers) and 3D Printing in Biomedical Research (3 papers). Maximilian Seuß is often cited by papers focused on Polymer Surface Interaction Studies (5 papers), Silk-based biomaterials and applications (3 papers) and 3D Printing in Biomedical Research (3 papers). Maximilian Seuß collaborates with scholars based in Germany, Sweden and France. Maximilian Seuß's co-authors include Andreas Fery, Christian Kuttner, Julian Thiele, Gregor Lang, Ling Peng, Seema Agarwal, Thomas Scheibel, Shaohua Jiang, Hans G. Börner and Matthias Pretzler and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Advanced Functional Materials.

In The Last Decade

Maximilian Seuß

14 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Maximilian Seuß	230	140	129	68	62	14	448
Dennis Go	216 0.9×	209 1.5×	142 1.1×	57 0.8×	63 1.0×	16	527
Siyu Jia	287 1.2×	82 0.6×	111 0.9×	41 0.6×	78 1.3×	21	477
Weichao Zheng	172 0.7×	141 1.0×	78 0.6×	101 1.5×	61 1.0×	16	436
Omar B. Ayyub	203 0.9×	79 0.6×	125 1.0×	47 0.7×	31 0.5×	20	513
Nabila Shamim	144 0.6×	139 1.0×	165 1.3×	61 0.9×	30 0.5×	16	448
Yang Li	217 0.9×	125 0.9×	197 1.5×	33 0.5×	65 1.0×	7	524
Clinton G. Wiener	240 1.0×	104 0.7×	96 0.7×	104 1.5×	35 0.6×	19	538
Zhandong Gu	225 1.0×	101 0.7×	95 0.7×	245 3.6×	43 0.7×	13	522
Niko Granqvist	186 0.8×	62 0.4×	81 0.6×	63 0.9×	66 1.1×	18	444
Beate Förster	121 0.5×	194 1.4×	121 0.9×	51 0.8×	44 0.7×	20	407

Countries citing papers authored by Maximilian Seuß

Since Specialization

Citations

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

Fields of papers citing papers by Maximilian Seuß

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Seuß

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Seuß. A scholar is included among the top collaborators of Maximilian Seuß 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 Maximilian Seuß. Maximilian Seuß 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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