Sarai Keestra
- Infectious Diseases
- Public Health, Environmental and Occupational Health
- Health top 10%
- Economics and Econometrics
- General Health Professions
- Co-authors
- Victoria PilkingtonAndrew J. HillPranav TandonAlexandra AlvergneToby PepperrellClare ChandlerOliver CummingArshnee Moodley
- Topics
- Health Systems, Economic Evaluations, Quality of Life (6 papers)SARS-CoV-2 and COVID-19 Research (4 papers)Birth, Development, and Health (3 papers)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Sarai Keestra
22 papers receiving 325 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Infectious Diseases 69
- Public Health, Environmental and Occupational Health 53
- Health 51
- Economics and Econometrics 47
- General Health Professions 31
Countries citing papers authored by Sarai Keestra
This map shows the geographic impact of Sarai Keestra'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 Sarai Keestra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarai Keestra more than expected).
Fields of papers citing papers by Sarai Keestra
This network shows the impact of papers produced by Sarai Keestra. 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 Sarai Keestra. The network helps show where Sarai Keestra may publish in the future.
Co-authorship network of co-authors of Sarai Keestra
This figure shows the co-authorship network connecting the top 25 collaborators of Sarai Keestra. A scholar is included among the top collaborators of Sarai Keestra 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 Sarai Keestra. Sarai Keestra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Integrating the environmental and genetic architectures of aging and mortalitybreakdown → | 38 |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 52 | |
| 6 | 62 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 40 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 12 | |
| 14 | 10 | |
| 15 | 15 | |
| 16 | 6 | |
| 17 | 15 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 21 |
About Sarai Keestra
Sarai Keestra is a scholar working on Statistics, Probability and Uncertainty, Health and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 333 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (19 citations), Health (51 citations) and Modeling and Simulation (25 citations). Sarai Keestra has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Victoria Pilkington, Andrew J. Hill, Pranav Tandon, Alexandra Alvergne, Toby Pepperrell, Clare Chandler, Oliver Cumming, Arshnee Moodley, Amy J. Pickering and Vedrana Tabor. Their work appears in journals such as Nature Medicine, PLoS ONE and JAMA Network Open.
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.