Anke Dienelt
Impact in
Papers in
- Genetics 9
- Mesenchymal stem cell research 9
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- Bone Metabolism and Diseases 5
- Co-authors
- Georg N. Duda (17 shared papers)Katharina Schmidt‐Bleek (8 shared papers)Hanna Schell (2 shared papers)Nico van Rooijen (1 shared paper)Andreas Radbruch (1 shared paper)Richard Lucius (1 shared paper)Thaqif El Khassawna (1 shared paper)Susanne Hartmann (1 shared paper)
- Journals
- PLoS ONE (3 papers)Journal of Tissue Engineering and Regenerative Medicine (2 papers)Frontiers in Pharmacology (1 paper)European Journal of Heart Failure (1 paper)Nanomedicine (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Anke Dienelt
23 papers receiving 1.4k citations
Anke Dienelt's Hit Papers
Peers
Comparison fields: 5 of 104
- Genetics 214
- Urology 81
- Orthopedics and Sports Medicine 106
- Biomedical Engineering 490
- Immunology 185
Countries citing papers authored by Anke Dienelt
This map shows the geographic impact of Anke Dienelt'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 Anke Dienelt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Dienelt more than expected).
Fields of papers citing papers by Anke Dienelt
This network shows the impact of papers produced by Anke Dienelt. 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 Anke Dienelt. The network helps show where Anke Dienelt may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Dienelt, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Macrophages in bone fracture healing: Their essential role in endochondral ossification Hit paper breakdown → | 2015 | 506 |
| 2 | 2015 | 155 | |
| 3 | 2017 | 85 | |
| 4 | 2014 | 70 | |
| 5 | 2019 | 69 | |
| 6 | 2019 | 69 | |
| 7 | 2017 | 64 | |
| 8 | 2016 | 56 | |
| 9 | 2010 | 54 | |
| 10 | 2019 | 50 | |
| 11 | 2013 | 42 | |
| 12 | 2020 | 30 | |
| 13 | 2016 | 30 | |
| 14 | 2014 | 27 | |
| 15 | 2015 | 22 | |
| 16 | 2010 | 21 | |
| 17 | 2014 | 20 | |
| 18 | 2023 | 16 | |
| 19 | 2019 | 9 | |
| 20 | 2013 | 9 |
About Anke Dienelt
Anke Dienelt is a scholar working on Genetics, Molecular Biology, Biomedical Engineering, Surgery and Rheumatology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Bone Metabolism and Diseases (5 papers), Bone Tissue Engineering Materials (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Immune cells in cancer (2 papers), Orthopaedic implants and arthroplasty (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Dental Implant Techniques and Outcomes (1 paper). The work is most often cited by research in Genetics (214 citations), Urology (81 citations), Orthopedics and Sports Medicine (106 citations), Biomedical Engineering (490 citations) and Immunology (185 citations). Anke Dienelt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Georg N. Duda, Katharina Schmidt‐Bleek, Hanna Schell, Nico van Rooijen, Andreas Radbruch, Richard Lucius, Thaqif El Khassawna, Susanne Hartmann, Claudia Schlundt and Alessandro Serra. Their work appears in journals such as PLoS ONE, Journal of Tissue Engineering and Regenerative Medicine, Frontiers in Pharmacology, European Journal of Heart Failure and Nanomedicine.
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.