Maike Werner

827 total citations
8 papers, 655 citations indexed

About

Maike Werner is a scholar working on Cell Biology, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Maike Werner has authored 8 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 5 papers in Biomedical Engineering and 1 paper in Automotive Engineering. Recurrent topics in Maike Werner's work include 3D Printing in Biomedical Research (5 papers), Cellular Mechanics and Interactions (5 papers) and Bone Tissue Engineering Materials (3 papers). Maike Werner is often cited by papers focused on 3D Printing in Biomedical Research (5 papers), Cellular Mechanics and Interactions (5 papers) and Bone Tissue Engineering Materials (3 papers). Maike Werner collaborates with scholars based in Netherlands, Germany and Finland. Maike Werner's co-authors include Ansgar Petersen, Nicholas A. Kurniawan, Carlijn V. C. Bouten, Sébastien Blanquer, Dirk W. Grijpma, Gabriela Korus, John Dunlop, Georg N. Duda, Suvi Haimi and Guillaume Lajoinie and has published in prestigious journals such as ACS Applied Materials & Interfaces, Advanced Science and Materials.

In The Last Decade

Maike Werner

8 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maike Werner Netherlands 7 457 242 141 127 98 8 655
Krishna P. Kommareddy Germany 7 617 1.4× 163 0.7× 126 0.9× 146 1.1× 208 2.1× 8 831
Gabriela Korus Germany 7 425 0.9× 211 0.9× 37 0.3× 51 0.4× 148 1.5× 10 657
William Ronan Ireland 15 321 0.7× 265 1.1× 75 0.5× 45 0.4× 160 1.6× 42 635
Oksana Y. Dudaryeva Switzerland 9 384 0.8× 96 0.4× 41 0.3× 106 0.8× 143 1.5× 12 614
Sam Manoucheri United States 6 511 1.1× 190 0.8× 46 0.3× 42 0.3× 213 2.2× 6 726
Andrew Rowlands Australia 9 479 1.0× 224 0.9× 335 2.4× 33 0.3× 223 2.3× 16 1.0k
Orestis G. Andriotis Austria 17 467 1.0× 164 0.7× 28 0.2× 81 0.6× 284 2.9× 31 893
Oana Dobre United Kingdom 11 336 0.7× 237 1.0× 38 0.3× 40 0.3× 219 2.2× 22 737
Harshad Kamble Australia 11 375 0.8× 111 0.5× 31 0.2× 94 0.7× 46 0.5× 12 553
Halil Tekin United States 9 564 1.2× 70 0.3× 47 0.3× 52 0.4× 250 2.6× 18 767

Countries citing papers authored by Maike Werner

Since Specialization
Citations

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

Fields of papers citing papers by Maike Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maike Werner

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

All Works

8 of 8 papers shown
1.
Werner, Maike, et al.. (2021). Protein Micropatterning in 2.5D: An Approach to Investigate Cellular Responses in Multi-Cue Environments. ACS Applied Materials & Interfaces. 13(22). 25589–25598. 31 indexed citations
2.
Werner, Maike, Nicholas A. Kurniawan, & Carlijn V. C. Bouten. (2020). Cellular Geometry Sensing at Different Length Scales and its Implications for Scaffold Design. Materials. 13(4). 963–963. 55 indexed citations
3.
Werner, Maike, Ansgar Petersen, Nicholas A. Kurniawan, & Carlijn V. C. Bouten. (2019). Cell Migration: Cell‐Perceived Substrate Curvature Dynamically Coordinates the Direction, Speed, and Persistence of Stromal Cell Migration (Adv. Biosys. 10/2019). Advanced Biosystems. 3(10). 1 indexed citations
4.
Werner, Maike, Ansgar Petersen, Nicholas A. Kurniawan, & Carlijn V. C. Bouten. (2019). Cell‐Perceived Substrate Curvature Dynamically Coordinates the Direction, Speed, and Persistence of Stromal Cell Migration. Advanced Biosystems. 3(10). e1900080–e1900080. 75 indexed citations
5.
Werner, Maike, Nicholas A. Kurniawan, Gabriela Korus, Carlijn V. C. Bouten, & Ansgar Petersen. (2018). Mesoscale substrate curvature overrules nanoscale contact guidance to direct bone marrow stromal cell migration. Journal of The Royal Society Interface. 15(145). 20180162–20180162. 66 indexed citations
6.
Blanquer, Sébastien, Maike Werner, Markus Hannula, et al.. (2017). Surface curvature in triply-periodic minimal surface architectures as a distinct design parameter in preparing advanced tissue engineering scaffolds. Biofabrication. 9(2). 25001–25001. 154 indexed citations
8.
Werner, Maike, Sébastien Blanquer, Suvi Haimi, et al.. (2016). Surface Curvature Differentially Regulates Stem Cell Migration and Differentiation via Altered Attachment Morphology and Nuclear Deformation. Advanced Science. 4(2). 1600347–1600347. 267 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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