Diana E. Woodward
- Modeling and Simulation top 0.5%
- Molecular Biology
- Finance top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Genetics top 10%
- Co-authors
- J. D. MurrayPhilippe TracquiG. C. CruywagenPatrick S. HaganEllsworth C. AlvordRebecca C. TysonElena O. BudreneHoward C. Berg
- Topics
- Stochastic processes and financial applications (11 papers)Mathematical Biology Tumor Growth (5 papers)Financial Risk and Volatility Modeling (5 papers)
- Journals
- Biophysical JournalProceedings of the Royal Society B Biological SciencesCell Proliferation
- Partner nations
- United StatesFrance
In The Last Decade
Diana E. Woodward
21 papers receiving 811 citations
Peers
Comparison fields: 5 of 95
- Modeling and Simulation 430
- Molecular Biology 167
- Finance 163
- Radiology, Nuclear Medicine and Imaging 140
- Genetics 138
Countries citing papers authored by Diana E. Woodward
This map shows the geographic impact of Diana E. Woodward'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 Diana E. Woodward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana E. Woodward more than expected).
Fields of papers citing papers by Diana E. Woodward
This network shows the impact of papers produced by Diana E. Woodward. 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 Diana E. Woodward. The network helps show where Diana E. Woodward may publish in the future.
Co-authorship network of co-authors of Diana E. Woodward
This figure shows the co-authorship network connecting the top 25 collaborators of Diana E. Woodward. A scholar is included among the top collaborators of Diana E. Woodward 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 Diana E. Woodward. Diana E. Woodward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | 85 | |
| 12 | 135 | |
| 13 | 180 | |
| 14 | 208 | |
| 15 | 21 | |
| 16 | 73 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 34 | |
| 20 | 18 |
About Diana E. Woodward
Diana E. Woodward is a scholar working on Finance, Modeling and Simulation and General Economics, Econometrics and Finance, having authored 21 papers that have together received 861 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Mathematical Biology Tumor Growth (5 papers) and Financial Risk and Volatility Modeling (5 papers). The work is most often cited by research in Modeling and Simulation (430 citations), Finance (163 citations) and Genetics (138 citations). Diana E. Woodward has collaborated with scholars based in United States and France. Frequent co-authors include J. D. Murray, Philippe Tracqui, G. C. Cruywagen, Patrick S. Hagan, Ellsworth C. Alvord, Rebecca C. Tyson, Elena O. Budrene, Howard C. Berg, Mary R. Myerscough and James A. Cook. Their work appears in journals such as Biophysical Journal, Proceedings of the Royal Society B Biological Sciences and Cell Proliferation.
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.