Yann Guyot
Impact in
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Bone Tissue Engineering Materials
- Innovative Microfluidic and Catalytic Techniques Innovation
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
-
- 3D Printing in Biomedical Research 7
- Bone Tissue Engineering Materials 4
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Surgery 2
- Pancreatic function and diabetes 1
- Co-authors
- Liesbet Geris (10 shared papers)Ioannis Papantoniou (7 shared papers)Jan Schrooten (4 shared papers)Frank P. Luyten (4 shared papers)Yoke Chin Chai (2 shared papers)Simon Van Bael (1 shared paper)Greet Kerckhofs (3 shared papers)Maarten Sonnaert (2 shared papers)
- Journals
- Biomechanics and Modeling in Mechanobiology (4 papers)Biotechnology and Bioengineering (3 papers)Lab on a Chip (1 paper)PLoS Computational Biology (1 paper)Interface Focus (1 paper)
- Partner nations
- BelgiumUnited KingdomNetherlands
In The Last Decade
Yann Guyot
11 papers receiving 387 citations
Peers
Comparison fields: 5 of 71
- Biomedical Engineering 288
- Automotive Engineering 66
- Biomaterials 70
- Cell Biology 81
- Oral Surgery 22
Countries citing papers authored by Yann Guyot
This map shows the geographic impact of Yann Guyot'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 Yann Guyot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yann Guyot more than expected).
Fields of papers citing papers by Yann Guyot
This network shows the impact of papers produced by Yann Guyot. 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 Yann Guyot. The network helps show where Yann Guyot may publish in the future.
Co-authors
The 20 scholars most cited alongside Yann Guyot, 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 | 2014 | 77 | |
| 2 | 2015 | 60 | |
| 3 | 2016 | 54 | |
| 4 | 2016 | 35 | |
| 5 | 2017 | 35 | |
| 6 | 2019 | 34 | |
| 7 | 2014 | 29 | |
| 8 | 2016 | 24 | |
| 9 | 2016 | 22 | |
| 10 | 2016 | 16 | |
| 11 | 2015 | 3 |
About Yann Guyot
Yann Guyot is a scholar working on Biomedical Engineering, Surgery, Molecular Biology, Automotive Engineering and Computational Mechanics, having authored 11 papers that have together received 389 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (7 papers), Bone Tissue Engineering Materials (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cellular Mechanics and Interactions (2 papers), Pancreatic function and diabetes (1 paper) and Advanced Multi-Objective Optimization Algorithms (1 paper). The work is most often cited by research in Biomedical Engineering (288 citations), Automotive Engineering (66 citations), Biomaterials (70 citations), Cell Biology (81 citations) and Oral Surgery (22 citations). Yann Guyot has collaborated with scholars based in Belgium, United Kingdom and Netherlands. Frequent co-authors include Liesbet Geris, Ioannis Papantoniou, Jan Schrooten, Frank P. Luyten, Yoke Chin Chai, Simon Van Bael, Greet Kerckhofs, Maarten Sonnaert, Karel Lietaert and Ruth Misener. Their work appears in journals such as Biomechanics and Modeling in Mechanobiology, Biotechnology and Bioengineering, Lab on a Chip, PLoS Computational Biology and Interface Focus.
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.