D. L. S. McElwain
- Modeling and Simulation top 0.1%
- Cell Biology top 1%
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Oncology top 5%
- Co-authors
- Graeme J. PettetHelen M. ByrnePhilip K. MainiE. DonskoiDavid I. LeavesleyRobyn P. AraujoMatthew J. SimpsonColin P. Please
- Topics
- Mathematical Biology Tumor Growth (31 papers)Cellular Mechanics and Interactions (26 papers)Metallurgy and Material Forming (15 papers)
- Journals
- Journal of the American Chemical SocietyThe Journal of Chemical PhysicsJournal of The Electrochemical Society
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
D. L. S. McElwain
130 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 168
- Modeling and Simulation 1.5k
- Cell Biology 1.0k
- Molecular Biology 844
- Biomedical Engineering 813
- Oncology 462
Countries citing papers authored by D. L. S. McElwain
This map shows the geographic impact of D. L. S. McElwain'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 D. L. S. McElwain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. L. S. McElwain more than expected).
Fields of papers citing papers by D. L. S. McElwain
This network shows the impact of papers produced by D. L. S. McElwain. 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 D. L. S. McElwain. The network helps show where D. L. S. McElwain may publish in the future.
Co-authorship network of co-authors of D. L. S. McElwain
This figure shows the co-authorship network connecting the top 25 collaborators of D. L. S. McElwain. A scholar is included among the top collaborators of D. L. S. McElwain 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 D. L. S. McElwain. D. L. S. McElwain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 7 | |
| 3 | 31 | |
| 4 | A mathematical model of wound healing and subsequent scarring | 1 |
| 5 | 31 | |
| 6 | 83 | |
| 7 | 32 | |
| 8 | Effect of tear additives on the shear stress and normal stress acting on the ocular surface | 4 |
| 9 | 14 | |
| 10 | 20 | |
| 11 | 10 | |
| 12 | New insights into vascular collapse and growth dynamics in solid tumors | 1 |
| 13 | 145 | |
| 14 | 28 | |
| 15 | Simulation of combustion waves for two-stage reactions | 3 |
| 16 | 62 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 0 | |
| 20 | 2 |
About D. L. S. McElwain
D. L. S. McElwain is a scholar working on Modeling and Simulation, Rehabilitation and Cell Biology, having authored 133 papers that have together received 4.2k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (31 papers), Cellular Mechanics and Interactions (26 papers) and Metallurgy and Material Forming (15 papers). The work is most often cited by research in Modeling and Simulation (1.5k citations), Rehabilitation (444 citations) and Cell Biology (1.0k citations). D. L. S. McElwain has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include Graeme J. Pettet, Helen M. Byrne, Philip K. Maini, E. Donskoi, David I. Leavesley, Robyn P. Araujo, Matthew J. Simpson, Colin P. Please, David J. Balding and Emma S. McBryde. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Journal of The Electrochemical Society.
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.