U. Mayr‐Wohlfart
- Biomedical Engineering top 10%
- Molecular Biology
- Surgery
- Urology top 2%
- Epidemiology
- Co-authors
- Stefan KeßlerW. PuhlK.‐P. GüntherHeinz HausserChristoph DehioJohannes WaltenbergerRolf E. BrennerGerhard Rödel
- Topics
- Bone Tissue Engineering Materials (10 papers)Dental Implant Techniques and Outcomes (5 papers)TGF-β signaling in diseases (5 papers)
- Cited by
- UrologyOral SurgeryGenetics
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
U. Mayr‐Wohlfart
17 papers receiving 851 citations
Peers
Comparison fields: 5 of 93
- Biomedical Engineering 333
- Molecular Biology 270
- Surgery 157
- Urology 152
- Epidemiology 123
Countries citing papers authored by U. Mayr‐Wohlfart
This map shows the geographic impact of U. Mayr‐Wohlfart'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 U. Mayr‐Wohlfart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Mayr‐Wohlfart more than expected).
Fields of papers citing papers by U. Mayr‐Wohlfart
This network shows the impact of papers produced by U. Mayr‐Wohlfart. 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 U. Mayr‐Wohlfart. The network helps show where U. Mayr‐Wohlfart may publish in the future.
Co-authorship network of co-authors of U. Mayr‐Wohlfart
This figure shows the co-authorship network connecting the top 25 collaborators of U. Mayr‐Wohlfart. A scholar is included among the top collaborators of U. Mayr‐Wohlfart 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 U. Mayr‐Wohlfart. U. Mayr‐Wohlfart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 135 | |
| 3 | 4 | |
| 4 | The impact of bone morphogenetic protein-2 (BMP-2), Vascular Endothelial Growth Factor (VEGF) and basic Fibroblast Growth Factor (b-FGF) on the osteointegration, the degradation and biomechanical properties of a synthetic bone substitute | 8 |
| 5 | 14 | |
| 6 | 13 | |
| 7 | 360 | |
| 8 | 103 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 84 | |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 4 | |
| 15 | Mitochondrial tRNA(Gln) and tRNA(Thr) gene variants in Parkinson's disease. | 30 |
| 16 | 54 | |
| 17 | 3 |
About U. Mayr‐Wohlfart
U. Mayr‐Wohlfart is a scholar working on Oral Surgery, Urology and Biomedical Engineering, having authored 17 papers that have together received 881 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (10 papers), Dental Implant Techniques and Outcomes (5 papers) and TGF-β signaling in diseases (5 papers). The work is most often cited by research in Urology (152 citations), Oral Surgery (115 citations) and Genetics (89 citations). U. Mayr‐Wohlfart has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefan Keßler, W. Puhl, K.‐P. Günther, Heinz Hausser, Christoph Dehio, Johannes Waltenberger, Rolf E. Brenner, Gerhard Rödel, A.E. Henneberg and Jörg Fiedler. Their work appears in journals such as Journal of Biomedical Materials Research, Bone and Transfusion.
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.