Beate Eckes
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research 56
- Rehabilitation top 0.2%
- Wound Healing and Treatments 21
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions 35
- Skin and Cellular Biology Research 27
- Dermatology top 0.5%
- Dermatologic Treatments and Research 20
- Hematology top 2%
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- Systemic Sclerosis and Related Diseases 23
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- Protease and Inhibitor Mechanisms 14
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- Connective Tissue Growth Factor Research 14
- Co-authors
- Thomas KriegCornelia MauchToshiyuki YamamotoMonique AumailleyKarin HartmannJan-Niklas SchulzCharles BabinetMarkus Plomann
- Journals
- Journal of Investigative Dermatology (10 papers)Matrix Biology (8 papers)Journal of Biological Chemistry (7 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Beate Eckes
115 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 130
- Immunology and Allergy 1.8k
- Rehabilitation 939
- Cell Biology 2.1k
- Dermatology 847
- Hematology 619
Countries citing papers authored by Beate Eckes
This map shows the geographic impact of Beate Eckes'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 Beate Eckes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate Eckes more than expected).
Fields of papers citing papers by Beate Eckes
This network shows the impact of papers produced by Beate Eckes. 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 Beate Eckes. The network helps show where Beate Eckes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beate Eckes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2021 | 66 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 50 | |
| 8 | 2020 | 33 | |
| 9 | 2018 | 87 | |
| 10 | 2017 | 70 | |
| 11 | 2015 | 64 | |
| 12 | 2014 | 54 | |
| 13 | 2013 | 139 | |
| 14 | 2011 | 34 | |
| 15 | 2011 | 26 | |
| 16 | 2008 | 14 | |
| 17 | 2008 | 17 | |
| 18 | 2001 | 59 | |
| 19 | 2000 | 204 | |
| 20 | 1994 | 14 |
About Beate Eckes
Beate Eckes is a scholar working on Immunology and Allergy, Cell Biology and Rehabilitation, having authored 117 papers that have together received 7.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (56 papers), Cellular Mechanics and Interactions (35 papers), Skin and Cellular Biology Research (27 papers), Systemic Sclerosis and Related Diseases (23 papers), Wound Healing and Treatments (21 papers), Dermatologic Treatments and Research (20 papers), Protease and Inhibitor Mechanisms (14 papers) and Connective Tissue Growth Factor Research (14 papers). The work is most often cited by research in Immunology and Allergy (1.8k citations), Rehabilitation (939 citations) and Cell Biology (2.1k citations). Beate Eckes has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Krieg, Thomas Krieg, Cornelia Mauch, Toshiyuki Yamamoto, Monique Aumailley, Karin Hartmann, Jan-Niklas Schulz, Charles Babinet, Markus Plomann and Ewa Kozłowska. Their work appears in journals such as Journal of Investigative Dermatology, Matrix Biology, Journal of Biological Chemistry, Journal of Cell Science and Experimental Dermatology.
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.