Martin Ehrbar

8.1k citations
140 papers · 7k · h-index 43

Impact in

Papers in

Martin Ehrbar

134 papers receiving 6.8k citations

Peers

Martin Ehrbar
Comparison fields: 5 of 126
  • Molecular Medicine 1.9k
  • Biomedical Engineering 2.3k
  • Cell Biology 589
  • Biomaterials 485
  • Rehabilitation 218
Replace Jan P. Stegemann with:
Jan P. Stegemann United States
Fan Yang United States
Sandeep T. Koshy United States
Yanan Du China
Thomas Harrison Barker United States
Manuel Salmerón‐Sánchez Spain
Nathaniel Huebsch United States
Shyni Varghese United States
Dror Seliktar Israel
Jeroen Rouwkema Netherlands
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Citations per field
00.5×1.6×
Jan P. Stegemann · 1×
Citations per year

Countries citing papers authored by Martin Ehrbar

Since Specialization
Citations

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

Fields of papers citing papers by Martin Ehrbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martin Ehrbar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin Ehrbar Line = papers co-authored together Martin Ehrbar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003464
2 2004315
3 2011309
4 2010282
5 2013278
6 2007268
7 2007204
8 2008202
9 2019183
10 2012181
11 2019179
12 2006168
13 2013161
14 2016145
15 2004139
16 2019133
17 2016131
18 2014130
19 2008116
20 2008107

About Martin Ehrbar

Martin Ehrbar is a scholar working on Molecular Medicine, Biomedical Engineering, Surfaces, Coatings and Films, Surgery and Epidemiology, having authored 140 papers that have together received 7k indexed citations. Recurring topics across this work include Hydrogels: synthesis, properties, applications (49 papers), Bone Tissue Engineering Materials (25 papers), Preterm Birth and Chorioamnionitis (14 papers), Angiogenesis and VEGF in Cancer (13 papers), Tissue Engineering and Regenerative Medicine (13 papers), 3D Printing in Biomedical Research (11 papers), Cellular Mechanics and Interactions (8 papers) and Polymer Surface Interaction Studies (8 papers). The work is most often cited by research in Molecular Medicine (1.9k citations), Biomedical Engineering (2.3k citations), Cell Biology (589 citations), Biomaterials (485 citations) and Rehabilitation (218 citations). Martin Ehrbar has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Jeffrey A. Hubbell, Matthias P. Lütolf, Franz E. Weber, Philipp S. Lienemann, Simone C. Rizzi, Andreas Hugo Zisch, Valentin Djonov, Queralt Vallmajó-Martín, Wilfried Weber and Ronald G. Schoenmakers. Their work appears in journals such as Advanced Healthcare Materials, Biomaterials, Scientific Reports, Advanced Functional Materials and Acta Biomaterialia.

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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