Melanie Ecker
Impact in
- Polymers and Plastics top 5%
- Polymer composites and self-healing
- Conducting polymers and applications
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- Neuroscience and Neural Engineering
Papers in
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- Conducting polymers and applications 18
- Polymer composites and self-healing 13
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- Neuroscience and Neural Engineering 18
- Co-authors
- Qichan Hu (5 shared papers)Walter E. Voit (23 shared papers)Thorsten Pretsch (5 shared papers)Rainer Ehneß (1 shared paper)Dietmute E. Godt (1 shared paper)Thomas Georg Roitsch (1 shared paper)Joseph Jewell Pancrazio (11 shared papers)Alexandra Joshi‐Imre (10 shared papers)
- Journals
- Polymers (4 papers)Scientific Reports (3 papers)RSC Advances (2 papers)Journal of Visualized Experiments (2 papers)Smart Materials and Structures (2 papers)
- Partner nations
- United StatesGermanyMexico
In The Last Decade
Melanie Ecker
45 papers receiving 1.5k citations
Melanie Ecker's Hit Papers
Peers
Comparison fields: 5 of 129
- Polymers and Plastics 452
- Cellular and Molecular Neuroscience 395
- Rheumatology 190
- Biomedical Engineering 396
- Biomaterials 93
Countries citing papers authored by Melanie Ecker
This map shows the geographic impact of Melanie Ecker'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 Melanie Ecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melanie Ecker more than expected).
Fields of papers citing papers by Melanie Ecker
This network shows the impact of papers produced by Melanie Ecker. 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 Melanie Ecker. The network helps show where Melanie Ecker may publish in the future.
Co-authors
The 25 scholars most cited alongside Melanie Ecker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Overview of MMP-13 as a Promising Target for the Treatment of Osteoarthritis Hit paper breakdown → | 2021 | 340 |
| 2 | 1997 | 241 | |
| 3 | 2018 | 86 | |
| 4 | 2012 | 79 | |
| 5 | 2022 | 75 | |
| 6 | 2018 | 73 | |
| 7 | 2022 | 53 | |
| 8 | 2018 | 52 | |
| 9 | 2013 | 47 | |
| 10 | 2014 | 39 | |
| 11 | 2020 | 39 | |
| 12 | 2020 | 36 | |
| 13 | 2019 | 33 | |
| 14 | 2017 | 32 | |
| 15 | 2018 | 30 | |
| 16 | 2018 | 30 | |
| 17 | 2016 | 29 | |
| 18 | 2019 | 26 | |
| 19 | 2024 | 26 | |
| 20 | 2018 | 24 |
About Melanie Ecker
Melanie Ecker is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience, Biomedical Engineering, Materials Chemistry and Neurology, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (18 papers), Conducting polymers and applications (18 papers), Polymer composites and self-healing (13 papers), Advanced Sensor and Energy Harvesting Materials (10 papers), Photochromic and Fluorescence Chemistry (7 papers), Advanced Memory and Neural Computing (6 papers), Bone Tissue Engineering Materials (4 papers) and Vagus Nerve Stimulation Research (2 papers). The work is most often cited by research in Polymers and Plastics (452 citations), Cellular and Molecular Neuroscience (395 citations), Rheumatology (190 citations), Biomedical Engineering (396 citations) and Biomaterials (93 citations). Melanie Ecker has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Qichan Hu, Walter E. Voit, Thorsten Pretsch, Rainer Ehneß, Dietmute E. Godt, Thomas Georg Roitsch, Joseph Jewell Pancrazio, Alexandra Joshi‐Imre, Allison M. Stiller and Chandani Chitrakar. Their work appears in journals such as Polymers, Scientific Reports, RSC Advances, Journal of Visualized Experiments and Smart Materials and Structures.
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.