Alisha N. Wade
- Endocrinology, Diabetes and Metabolism top 1%
- Epidemiology top 10%
- General Health Professions top 5%
- Economics and Econometrics top 5%
- Emergency Medicine top 5%
- Co-authors
- Andrew FarmerStephen TollmanDavid FrenchF. Xavier Gómez‐OlivéAndrew NeilP YudkinThomas A. GazianoRury R. Holman
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers)Chronic Disease Management Strategies (12 papers)Diabetes Management and Education (12 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- South AfricaUnited StatesUnited Kingdom
In The Last Decade
Alisha N. Wade
63 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 119
- Endocrinology, Diabetes and Metabolism 795
- Epidemiology 407
- General Health Professions 275
- Economics and Econometrics 224
- Emergency Medicine 175
Countries citing papers authored by Alisha N. Wade
This map shows the geographic impact of Alisha N. Wade'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 Alisha N. Wade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alisha N. Wade more than expected).
Fields of papers citing papers by Alisha N. Wade
This network shows the impact of papers produced by Alisha N. Wade. 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 Alisha N. Wade. The network helps show where Alisha N. Wade may publish in the future.
Co-authorship network of co-authors of Alisha N. Wade
This figure shows the co-authorship network connecting the top 25 collaborators of Alisha N. Wade. A scholar is included among the top collaborators of Alisha N. Wade 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 Alisha N. Wade. Alisha N. Wade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 42 | |
| 10 | 5 | |
| 11 | 11 | |
| 12 | 21 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 49 | |
| 17 | 84 | |
| 18 | 125 | |
| 19 | Impact of self-monitoring of blood glucose on the management of patients with non-insulin treated diabetes: an open-label parallel group randomised trial | 23 |
| 20 | Socioeconomic deprivation independent of ethnicity increases the risk of convulsive status epilepticus in childhood | 1 |
About Alisha N. Wade
Alisha N. Wade is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Emergency Medicine, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Chronic Disease Management Strategies (12 papers) and Diabetes Management and Education (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (795 citations), Family Practice (63 citations) and Geriatrics and Gerontology (79 citations). Alisha N. Wade has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Andrew Farmer, Stephen Tollman, David French, F. Xavier Gómez‐Olivé, Andrew Neil, P Yudkin, Thomas A. Gaziano, Rury R. Holman, Anthea Craven and Joshua A. Salomon. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.