Robert J. Glynn

86.0k citations
577 papers · 61.1k indexed · 19 hit papers · h-index 115

Robert J. Glynn

569 papers receiving 59.0k citations

Hit Papers

Infla...325198720262000201310002.0k3.0k4.0k

Peers

Robert J. Glynn
Comparison fields: 5 of 218
  • Geriatrics and Gerontology 4.5k
  • Family Practice 1.6k
  • Cardiology and Cardiovascular Medicine 13.2k
  • Statistics and Probability 4.0k
  • Physical Therapy, Sports Therapy and Rehabilitation 2.1k
Replace Stuart Pocock with:
Stuart Pocock United Kingdom
Andrew D Oxman Norway
Peter C. Austin Canada
Paul Glasziou Australia
Ewout W. Steyerberg Netherlands
Karel G.M. Moons Netherlands
Víctor M. Montori United States
Holger J. Schünemann Canada
Doug Altman United Kingdom
Harlan M. Krumholz United States
Robert J. Glynn relative to Stuart Pocock United Kingdom Stuart Pocock's profile →
Citations per field
00.5×2.8×
Stuart Pocock · 1×
Citations per year

Countries citing papers authored by Robert J. Glynn

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Glynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Glynn. 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 Robert J. Glynn. The network helps show where Robert J. Glynn may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Robert J. Glynn, 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 Robert J. Glynn Line = papers co-authored together Robert J. Glynn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20242
3 20246
4 20246
5 20231
6 20234
7 202280
8 20225
9 202179
10 202127
11 20201
12
Anti-Inflammatory Therapy With Canakinumab for the Prevention of Hospitalization for Heart Failurebreakdown →
2019458
13 2019110
14 20193
15 201789
16 201621
17 201551
18 2006119
19 2006436
20 199389

About Robert J. Glynn

Robert J. Glynn is a scholar working on Family Practice, Statistics and Probability and Geriatrics and Gerontology, having authored 577 papers that have together received 61.1k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (134 papers), Advanced Causal Inference Techniques (74 papers), Lipoproteins and Cardiovascular Health (62 papers), Statistical Methods in Clinical Trials (55 papers), Blood Pressure and Hypertension Studies (52 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (35 papers), Medication Adherence and Compliance (31 papers) and Diabetes Treatment and Management (26 papers). The work is most often cited by research in Geriatrics and Gerontology (4.5k citations), Family Practice (1.6k citations) and Cardiology and Cardiovascular Medicine (13.2k citations). Robert J. Glynn has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Paul M. Ridker, Sebastian Schneeweiß, Jerry Avorn, Jean MacFadyen, Peter Libby, Jack M. Guralnik, Til Stürmer‎, Robert B. Wallace, Paul A. Scherr and Lisa Berkman. Their work appears in journals such as Circulation, American Journal of Epidemiology, Pharmacoepidemiology and Drug Safety, Epidemiology and Ophthalmology.

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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