David I. Leavesley
- Molecular Biology top 10%
- Immunology and Allergy top 0.5%
- Rehabilitation top 0.5%
- Biomedical Engineering top 5%
- Cell Biology top 2%
- Co-authors
- Zee UptonD. L. S. McElwainPhilip K. MainiChen FanMartin A. SchwartzMauricio RosenfeldDavid A. ChereshPaul J. Simmons
- Topics
- Wound Healing and Treatments (23 papers)Cell Adhesion Molecules Research (12 papers)3D Printing in Biomedical Research (8 papers)
- Partner nations
- AustraliaSingaporeUnited States
In The Last Decade
David I. Leavesley
77 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 1.2k
- Immunology and Allergy 752
- Rehabilitation 711
- Biomedical Engineering 570
- Cell Biology 541
Countries citing papers authored by David I. Leavesley
This map shows the geographic impact of David I. Leavesley'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 David I. Leavesley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David I. Leavesley more than expected).
Fields of papers citing papers by David I. Leavesley
This network shows the impact of papers produced by David I. Leavesley. 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 David I. Leavesley. The network helps show where David I. Leavesley may publish in the future.
Co-authorship network of co-authors of David I. Leavesley
This figure shows the co-authorship network connecting the top 25 collaborators of David I. Leavesley. A scholar is included among the top collaborators of David I. Leavesley 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 David I. Leavesley. David I. Leavesley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Hydrogel dressings with intrinsic antibiofilm and antioxidative dual functionalities accelerate infected diabetic wound healingbreakdown → | 176 |
| 3 | 1 | |
| 4 | A flexible multiplexed immunosensor for point-of-care in situ wound monitoringbreakdown → | 194 |
| 5 | 44 | |
| 6 | 45 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 31 | |
| 10 | 77 | |
| 11 | 24 | |
| 12 | 6 | |
| 13 | 18 | |
| 14 | MicroRNA regulation of epithelial-to-mesenchymal transition during re-epithelialisation: Assessing an open wound | 2 |
| 15 | 34 | |
| 16 | 85 | |
| 17 | 5 | |
| 18 | 17 | |
| 19 | 33 | |
| 20 | 37 |
About David I. Leavesley
David I. Leavesley is a scholar working on Rehabilitation, Immunology and Allergy and Biomaterials, having authored 79 papers that have together received 3.8k indexed citations. Recurring topics across this work include Wound Healing and Treatments (23 papers), Cell Adhesion Molecules Research (12 papers) and 3D Printing in Biomedical Research (8 papers). The work is most often cited by research in Immunology and Allergy (752 citations), Rehabilitation (711 citations) and Modeling and Simulation (224 citations). David I. Leavesley has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Zee Upton, D. L. S. McElwain, Philip K. Maini, Chen Fan, Martin A. Schwartz, Mauricio Rosenfeld, David A. Cheresh, Paul J. Simmons, Jean-Pierre Lévesque and E A Wayner. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.
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.