Sasha Smith
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Surgery 6
- Diagnosis and Treatment of Venous Diseases 6
- Peripheral Artery Disease Management 3
-
- Botulinum Toxin and Related Neurological Disorders 4
- Co-authors
- Alun H. Davies (9 shared papers)Pasha Normahani (5 shared papers)Allison T. Chamberlain (5 shared papers)Steven Williams (4 shared papers)Nick Oliver (2 shared papers)Sarita Shah (3 shared papers)Tristan Lane (3 shared papers)David Hohenschurz‐Schmidt (3 shared papers)
- Journals
- BMJ Open (2 papers)MMWR Morbidity and Mortality Weekly Report (2 papers)Life (2 papers)Phlebology The Journal of Venous Disease (1 paper)Annals of Epidemiology (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Sasha Smith
12 papers receiving 191 citations
Peers
Comparison fields: 5 of 72
- Modeling and Simulation 32
- Health 22
- Internal Medicine 8
- Neurology 27
- Toxicology 6
Countries citing papers authored by Sasha Smith
This map shows the geographic impact of Sasha Smith'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 Sasha Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sasha Smith more than expected).
Fields of papers citing papers by Sasha Smith
This network shows the impact of papers produced by Sasha Smith. 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 Sasha Smith. The network helps show where Sasha Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Sasha Smith, 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 | 2020 | 56 | |
| 2 | 2020 | 46 | |
| 3 | 2022 | 29 | |
| 4 | 2022 | 23 | |
| 5 | 2020 | 14 | |
| 6 | 2017 | 10 | |
| 7 | 2020 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2022 | 0 | |
| 16 | 2023 | 0 |
About Sasha Smith
Sasha Smith is a scholar working on Surgery, Neurology, Physiology, Modeling and Simulation and Internal Medicine, having authored 16 papers that have together received 197 indexed citations. Recurring topics across this work include Diagnosis and Treatment of Venous Diseases (6 papers), Pain Mechanisms and Treatments (4 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), COVID-19 epidemiological studies (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Peripheral Artery Disease Management (3 papers) and Central Venous Catheters and Hemodialysis (2 papers). The work is most often cited by research in Modeling and Simulation (32 citations), Health (22 citations), Internal Medicine (8 citations), Neurology (27 citations) and Toxicology (6 citations). Sasha Smith has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Alun H. Davies, Pasha Normahani, Allison T. Chamberlain, Steven Williams, Nick Oliver, Sarita Shah, Tristan Lane, David Hohenschurz‐Schmidt, Neel R. Gandhi and Lindsay J. Collin. Their work appears in journals such as BMJ Open, MMWR Morbidity and Mortality Weekly Report, Life, Phlebology The Journal of Venous Disease and Annals of Epidemiology.
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.