John C. Dallon
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Rehabilitation top 2%
- Wound Healing and Treatments
Papers in
-
- Mathematical Biology Tumor Growth 9
- Cell Biology 31
- Cellular Mechanics and Interactions 28
- Microtubule and mitosis dynamics 8
- Co-authors
- Jonathan A. SherrattHans G. OthmerPhilip K. MainiH. Paul EhrlichSteven Robert McDougallMark A. LewisF. R. AdlerWilliam V. Smith
- Journals
- Journal of Theoretical Biology (5 papers)Journal of Biomechanical Engineering (2 papers)Mathematical Biosciences (2 papers)Wound Repair and Regeneration (2 papers)Bulletin of Mathematical Biology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John C. Dallon
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Modeling and Simulation 248
- Rehabilitation 280
- Cell Biology 533
- Orthopedics and Sports Medicine 126
- Biomaterials 115
Countries citing papers authored by John C. Dallon
This map shows the geographic impact of John C. Dallon'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 John C. Dallon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Dallon more than expected).
Fields of papers citing papers by John C. Dallon
This network shows the impact of papers produced by John C. Dallon. 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 John C. Dallon. The network helps show where John C. Dallon may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Dallon, 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 | 2023 | 0 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 5 | |
| 6 | 2019 | 4 | |
| 7 | 2019 | 4 | |
| 8 | 2013 | 7 | |
| 9 | 2010 | 10 | |
| 10 | 2010 | 10 | |
| 11 | 2009 | 6 | |
| 12 | 2008 | 117 | |
| 13 | 2006 | 213 | |
| 14 | 2005 | 11 | |
| 15 | 2004 | 91 | |
| 16 | 2002 | 76 | |
| 17 | 2001 | 55 | |
| 18 | 1999 | 107 | |
| 19 | 1999 | 42 | |
| 20 | 1998 | 35 |
About John C. Dallon
John C. Dallon is a scholar working on Modeling and Simulation, Cell Biology, Rehabilitation, Biophysics and Immunology and Allergy, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (28 papers), Mathematical Biology Tumor Growth (9 papers), Microtubule and mitosis dynamics (8 papers), Wound Healing and Treatments (6 papers), 3D Printing in Biomedical Research (4 papers), Gene Regulatory Network Analysis (3 papers), Collagen: Extraction and Characterization (3 papers) and Micro and Nano Robotics (3 papers). The work is most often cited by research in Modeling and Simulation (248 citations), Rehabilitation (280 citations), Cell Biology (533 citations), Orthopedics and Sports Medicine (126 citations) and Biomaterials (115 citations). John C. Dallon has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan A. Sherratt, Hans G. Othmer, Philip K. Maini, H. Paul Ehrlich, Steven Robert McDougall, Mark A. Lewis, F. R. Adler, William V. Smith, Emily J. Evans and Sandrine Etienne‐Manneville. Their work appears in journals such as Journal of Theoretical Biology, Journal of Biomechanical Engineering, Mathematical Biosciences, Wound Repair and Regeneration and Bulletin of Mathematical Biology.
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.