Isabel de Salis
- Public Health, Environmental and Occupational Health top 5%
- General Health Professions top 5%
- Economics and Econometrics top 5%
- Statistics, Probability and Uncertainty top 2%
- Physiology
- Co-authors
- Jenny DonovanMerran ToerienSangeetha ParamasivanZelda TomlinJonathan A C SterneGraham ThornicroftLouise M. HowardJane Blazeby
- Topics
- Ethics in Clinical Research (6 papers)Meta-analysis and systematic reviews (5 papers)Health Systems, Economic Evaluations, Quality of Life (4 papers)
- Cited by
- Statistics, Probability and UncertaintyFamily PracticePublic Health, Environmental and Occupational Health
- Partner nations
- United KingdomSwitzerlandAustralia
In The Last Decade
Isabel de Salis
16 papers receiving 841 citations
Peers
Comparison fields: 5 of 114
- Public Health, Environmental and Occupational Health 416
- General Health Professions 309
- Economics and Econometrics 160
- Statistics, Probability and Uncertainty 112
- Physiology 98
Countries citing papers authored by Isabel de Salis
This map shows the geographic impact of Isabel de Salis'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 Isabel de Salis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel de Salis more than expected).
Fields of papers citing papers by Isabel de Salis
This network shows the impact of papers produced by Isabel de Salis. 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 Isabel de Salis. The network helps show where Isabel de Salis may publish in the future.
Co-authorship network of co-authors of Isabel de Salis
This figure shows the co-authorship network connecting the top 25 collaborators of Isabel de Salis. A scholar is included among the top collaborators of Isabel de Salis 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 Isabel de Salis. Isabel de Salis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 10 | |
| 3 | 17 | |
| 4 | 40 | |
| 5 | 22 | |
| 6 | 19 | |
| 7 | 110 | |
| 8 | 183 | |
| 9 | 48 | |
| 10 | 2 | |
| 11 | 125 | |
| 12 | 44 | |
| 13 | 39 | |
| 14 | 104 | |
| 15 | 27 | |
| 16 | 59 |
About Isabel de Salis
Isabel de Salis is a scholar working on Family Practice, Statistics, Probability and Uncertainty and General Health Professions, having authored 16 papers that have together received 856 indexed citations. Recurring topics across this work include Ethics in Clinical Research (6 papers), Meta-analysis and systematic reviews (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (112 citations), Family Practice (32 citations) and Public Health, Environmental and Occupational Health (416 citations). Isabel de Salis has collaborated with scholars based in United Kingdom, Switzerland and Australia. Frequent co-authors include Jenny Donovan, Merran Toerien, Sangeetha Paramasivan, Zelda Tomlin, Jonathan A C Sterne, Graham Thornicroft, Louise M. Howard, Jane Blazeby, Freddie C. Hamdy and T. J. Peters. Their work appears in journals such as Social Science & Medicine, Journal of Clinical Epidemiology and BMC Health Services Research.
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.