Christopher Partlett
Impact in
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- Meta-analysis and systematic reviews
- Nutrition and Dietetics top 10%
- Infant Nutrition and Health
- Clinical Nutrition and Gastroenterology
Papers in
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- Meta-analysis and systematic reviews 8
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- Statistical Methods in Clinical Trials 4
- Co-authors
- Richard D RileyLouise LinsellEdmund JuszczakAlison LeafJanet BerringtonUrsula BowlerWilliam McGuireJon Dorling
- Journals
- Trials (6 papers)Health Technology Assessment (3 papers)BMC Medical Research Methodology (3 papers)Archives of Disease in Childhood Fetal & Neonatal (2 papers)Annals of the Institute of Statistical Mathematics (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Christopher Partlett
21 papers receiving 468 citations
Peers
Comparison fields: 5 of 105
- Statistics, Probability and Uncertainty 48
- Nutrition and Dietetics 103
- Obstetrics and Gynecology 48
- Pediatrics, Perinatology and Child Health 91
- Statistics and Probability 37
Countries citing papers authored by Christopher Partlett
This map shows the geographic impact of Christopher Partlett'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 Christopher Partlett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Partlett more than expected).
Fields of papers citing papers by Christopher Partlett
This network shows the impact of papers produced by Christopher Partlett. 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 Christopher Partlett. The network helps show where Christopher Partlett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher Partlett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 71 | |
| 15 | 2019 | 95 | |
| 16 | 2019 | 18 | |
| 17 | 2019 | 16 | |
| 18 | 2018 | 25 | |
| 19 | 2018 | 6 | |
| 20 | 2017 | 11 |
About Christopher Partlett
Christopher Partlett is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Internal Medicine, having authored 24 papers that have together received 475 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (8 papers), Infant Development and Preterm Care (4 papers), Maternal and Perinatal Health Interventions (4 papers), Infant Nutrition and Health (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Statistical Methods in Clinical Trials (4 papers), Reproductive Health and Contraception (3 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (48 citations), Nutrition and Dietetics (103 citations), Obstetrics and Gynecology (48 citations), Pediatrics, Perinatology and Child Health (91 citations) and Statistics and Probability (37 citations). Christopher Partlett has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Richard D Riley, Louise Linsell, Edmund Juszczak, Alison Leaf, Janet Berrington, Ursula Bowler, William McGuire, Jon Dorling, Nicholas D. Embleton and Prakash Patil. Their work appears in journals such as Trials, Health Technology Assessment, BMC Medical Research Methodology, Archives of Disease in Childhood Fetal & Neonatal and Annals of the Institute of Statistical Mathematics.
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.