Dhevaksha Naidoo
- General Health Professions top 10%
- Public Health, Environmental and Occupational Health top 10%
- Complementary and alternative medicine top 5%
- Oncology
- Economics and Econometrics
- Co-authors
- Jonathon GrayDon GoldmannOrly TamirSusan WellsCarolyn EeMike ArmourMyeong Soo LeePhillipa Hay
- Topics
- Cancer Risks and Factors (4 papers)Cancer survivorship and care (3 papers)Complementary and Alternative Medicine Studies (2 papers)
- Cited by
- Complementary and alternative medicineHealth Information ManagementGeneral Health Professions
- Journals
- The Journal of Clinical Endocrinology & MetabolismCochrane Database of Systematic ReviewsBritish Journal of Cancer
- Partner nations
- AustraliaChinaUnited Kingdom
In The Last Decade
Dhevaksha Naidoo
13 papers receiving 535 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- General Health Professions 187
- Public Health, Environmental and Occupational Health 141
- Complementary and alternative medicine 89
- Oncology 61
- Economics and Econometrics 52
Countries citing papers authored by Dhevaksha Naidoo
This map shows the geographic impact of Dhevaksha Naidoo'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 Dhevaksha Naidoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhevaksha Naidoo more than expected).
Fields of papers citing papers by Dhevaksha Naidoo
This network shows the impact of papers produced by Dhevaksha Naidoo. 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 Dhevaksha Naidoo. The network helps show where Dhevaksha Naidoo may publish in the future.
Co-authorship network of co-authors of Dhevaksha Naidoo
This figure shows the co-authorship network connecting the top 25 collaborators of Dhevaksha Naidoo. A scholar is included among the top collaborators of Dhevaksha Naidoo 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 Dhevaksha Naidoo. Dhevaksha Naidoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 26 | |
| 7 | 14 | |
| 8 | 70 | |
| 9 | 10 | |
| 10 | 101 | |
| 11 | 21 | |
| 12 | Are quality improvement collaboratives effective? A systematic reviewbreakdown → | 255 |
| 13 | 21 |
About Dhevaksha Naidoo
Dhevaksha Naidoo is a scholar working on Complementary and alternative medicine, Reproductive Medicine and Oncology, having authored 13 papers that have together received 552 indexed citations. Recurring topics across this work include Cancer Risks and Factors (4 papers), Cancer survivorship and care (3 papers) and Complementary and Alternative Medicine Studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (89 citations), Health Information Management (37 citations) and General Health Professions (187 citations). Dhevaksha Naidoo has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Jonathon Gray, Don Goldmann, Orly Tamir, Susan Wells, Carolyn Ee, Mike Armour, Myeong Soo Lee, Phillipa Hay, Li‐Qiong Wang and Guoyan Yang. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cochrane Database of Systematic Reviews and British Journal of Cancer.
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.