Daniel Vonwil

408 citations
15 papers · 358 · h-index 10

Impact in

  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms
  • Urology top 10%
    • Periodontal Regeneration and Treatments

Papers in

Daniel Vonwil

15 papers receiving 349 citations

Peers

Daniel Vonwil
Comparison fields: 5 of 71
  • Rheumatology 129
  • Urology 47
  • Biomaterials 97
  • Genetics 46
  • Orthopedics and Sports Medicine 27
Replace Michelle Farley with:
Michelle Farley United States
D. Cortial France
Maria L. Vainieri Switzerland
Benjamin J. Bielajew United States
Anna Osiecka‐Iwan Poland
Eike Mrosek Germany
Molly Klimak United States
E Hunziker Switzerland
H.J. Pulkkinen Finland
Quanyi Guo China
Daniel Vonwil relative to Michelle Farley United States Michelle Farley's profile →
Citations per field
00.5×5.5×
Michelle Farley · 1×
Citations per year

Countries citing papers authored by Daniel Vonwil

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Vonwil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Vonwil, 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 Daniel Vonwil Line = papers co-authored together Daniel Vonwil links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200796
2 200862
3 201941
4 201527
5 201323
6 201023
7 200920
8 200819
9 201211
10 201811
11 20179
12 20076
13 20125
14 20173
15 20192

About Daniel Vonwil

Daniel Vonwil is a scholar working on Rheumatology, Biomedical Engineering, Surgery, Molecular Biology and Cell Biology, having authored 15 papers that have together received 358 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), 3D Printing in Biomedical Research (3 papers), Knee injuries and reconstruction techniques (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Silk-based biomaterials and applications (1 paper), Pluripotent Stem Cells Research (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Rheumatology (129 citations), Urology (47 citations), Biomaterials (97 citations), Genetics (46 citations) and Orthopedics and Sports Medicine (27 citations). Daniel Vonwil has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include V. Prasad Shastri, Jon Christensen, Iván Martín, Andrea Barbero, M. Heberer, Boris Hinz, Lara Buscemi, Pierre‐Jean Wipff, Sally C. Dickinson and Manuel Bueno. Their work appears in journals such as PLoS ONE, European Cells and Materials, Molecular Imaging and Biology, Stem Cells and Biomaterials.

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.

Explore authors with similar magnitude of impact