Eva-Maria Materne

1.2k total citations
14 papers, 974 citations indexed

About

Eva-Maria Materne is a scholar working on Biomedical Engineering, Molecular Biology and Surgery. According to data from OpenAlex, Eva-Maria Materne has authored 14 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Eva-Maria Materne's work include 3D Printing in Biomedical Research (8 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers) and Pluripotent Stem Cells Research (5 papers). Eva-Maria Materne is often cited by papers focused on 3D Printing in Biomedical Research (8 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers) and Pluripotent Stem Cells Research (5 papers). Eva-Maria Materne collaborates with scholars based in Germany, Russia and United States. Eva-Maria Materne's co-authors include Uwe Marx, Alexander Tonevitsky, Roland Lauster, Frank Sonntag, Dmitry Sakharov, Mathias Busek, Ilka Wagner, Caroline Frädrich, Alexandra Lorenz and Ilka Maschmeyer and has published in prestigious journals such as Lab on a Chip, European Journal of Pharmaceutics and Biopharmaceutics and Journal of Biotechnology.

In The Last Decade

Eva-Maria Materne

13 papers receiving 951 citations

Peers

Eva-Maria Materne
Comparison fields: 5 of 94
  • Biomedical Engineering 787
  • Molecular Biology 266
  • Cellular and Molecular Neuroscience 157
  • Hepatology 81
  • Oncology 78
Replace Anja Patricia Ramme with:
Anja Patricia Ramme Germany
Marcus Lindner Germany
Tobias Hasenberg Germany
Christopher Drewell Germany
Katharina Schimek Germany
Ilka Maschmeyer Germany
R. Baudoin France
Arnaud Nicolas Netherlands
Inna Golberg United States
Dipali Patel United States
Anja Patricia Ramme Germany View profile →
Citations per field, relative to Eva-Maria Materne
Eva-Maria Materne · 1×
Citations per year, relative to Eva-Maria Materne
Eva-Maria Materne · 1×

Countries citing papers authored by Eva-Maria Materne

Since Specialization
Citations

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

Fields of papers citing papers by Eva-Maria Materne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva-Maria Materne. 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 Eva-Maria Materne. The network helps show where Eva-Maria Materne may publish in the future.

Co-authorship network of co-authors of Eva-Maria Materne

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 21
2 1
3 76
4 177
5 122
6 7
7 4
8 2
9 92
10 371
11 2
12
Developing a Human Chip-Based Platform for Repeated Dose Toxicity Testing
0
13 97
14 2

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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