Jelena Savović
- Surgery top 0.1%
- Pulmonary and Respiratory Medicine top 0.2%
- Epidemiology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Public Health, Environmental and Occupational Health top 0.2%
- Co-authors
- Julian P. T. HigginsJonathan A C SterneDavid MoherPeter JüniKenneth F. SchulzLaura WeeksDoug AltmanAndrew D Oxman
- Topics
- Meta-analysis and systematic reviews (22 papers)Health Systems, Economic Evaluations, Quality of Life (18 papers)Statistical Methods in Clinical Trials (9 papers)
- Cited by
- Statistics, Probability and UncertaintyInternal MedicineCardiology and Cardiovascular Medicine
- Journals
- The LancetSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- United KingdomCanadaDenmark
In The Last Decade
Jelena Savović
89 papers receiving 33.4k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Surgery 7.2k
- Pulmonary and Respiratory Medicine 4.2k
- Epidemiology 4.2k
- Cardiology and Cardiovascular Medicine 4.0k
- Public Health, Environmental and Occupational Health 3.4k
Countries citing papers authored by Jelena Savović
This map shows the geographic impact of Jelena Savović'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 Jelena Savović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jelena Savović more than expected).
Fields of papers citing papers by Jelena Savović
This network shows the impact of papers produced by Jelena Savović. 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 Jelena Savović. The network helps show where Jelena Savović may publish in the future.
Co-authorship network of co-authors of Jelena Savović
This figure shows the co-authorship network connecting the top 25 collaborators of Jelena Savović. A scholar is included among the top collaborators of Jelena Savović 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 Jelena Savović. Jelena Savović 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 22 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 16 | |
| 17 | 83 | |
| 18 | A revised tool for assessing risk of bias in randomized trialsbreakdown → | 858 |
| 19 | 2 | |
| 20 | 9 |
About Jelena Savović
Jelena Savović is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Pharmacy, having authored 99 papers that have together received 33.9k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (22 papers), Health Systems, Economic Evaluations, Quality of Life (18 papers) and Statistical Methods in Clinical Trials (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.8k citations), Internal Medicine (803 citations) and Cardiology and Cardiovascular Medicine (4.0k citations). Jelena Savović has collaborated with scholars based in United Kingdom, Canada and Denmark. Frequent co-authors include Julian P. T. Higgins, Jonathan A C Sterne, David Moher, Peter Jüni, Kenneth F. Schulz, Laura Weeks, Doug Altman, Andrew D Oxman, Peter C Gøtzsche and Barnaby C Reeves. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.