Jayne Berrier

1.9k citations
8 papers · 1.5k indexed · 1 hit paper · h-index 7

Jayne Berrier

8 papers receiving 1.4k citations

Hit Papers

Meta-Analyses of Randomized Controlled Trials1.0k19872026200020132505007501000

Peers

Jayne Berrier
Comparison fields: 5 of 141
  • Statistics, Probability and Uncertainty 488
  • Statistics and Probability 118
  • Public Health, Environmental and Occupational Health 294
  • Cardiology and Cardiovascular Medicine 179
  • General Health Professions 179
Replace Christopher Bartlett with:
Christopher Bartlett United Kingdom
J. Hoey Canada
Jacques Le Lorier Canada
Geneviève Grégoire Canada
Jeppe Bennekou Schroll Denmark
Roy R. Kuebler United States
Brian S. Alper United States
Sylvain Mathieu France
Stephen Rice United Kingdom
A Aïssa Benhaddad France
Jayne Berrier relative to Christopher Bartlett United Kingdom Christopher Bartlett's profile →
Citations per field
00.5×1.7×
Christopher Bartlett · 1×
Citations per year

Countries citing papers authored by Jayne Berrier

Since Specialization
Citations

This map shows the geographic impact of Jayne Berrier'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 Jayne Berrier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayne Berrier more than expected).

Fields of papers citing papers by Jayne Berrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayne Berrier. 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 Jayne Berrier. The network helps show where Jayne Berrier may publish in the future.

Co-authorship network

The 8 scholars most cited alongside Jayne Berrier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jayne Berrier Line = papers co-authored together Jayne Berrier links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 19909
2 19901
3 1989101
4 198852
5 198819
6 1987103
7
Meta-Analyses of Randomized Controlled Trialsbreakdown →
19871028
8 1987192

About Jayne Berrier

Jayne Berrier is a scholar working on Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology, Statistics and Probability and Reproductive Medicine, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiac Imaging and Diagnostics (2 papers), Pregnancy and preeclampsia studies (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Clinical practice guidelines implementation (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (488 citations), Statistics and Probability (118 citations), Public Health, Environmental and Occupational Health (294 citations), Cardiology and Cardiovascular Medicine (179 citations) and General Health Professions (179 citations). Jayne Berrier has collaborated with scholars based in United States. Frequent co-authors include Henry S. Sacks, Thomas C. Chalmers, Dinah Reitman, Howard R. Levin, Peter A. Goldstein, T. C. Chalmers, Peg Hewitt and Jesse A. Berlin. Their work appears in journals such as Statistics in Medicine, BJOG An International Journal of Obstetrics & Gynaecology, Obstetrical & Gynecological Survey, Alimentary Pharmacology & Therapeutics and New England Journal of 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.

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