RJ Glynn

37 total papers · 1.9k total citations
20 papers, 1.4k citations indexed

About

RJ Glynn is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, RJ Glynn has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in RJ Glynn's work include Advanced Causal Inference Techniques (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Alcohol Consumption and Health Effects (2 papers). RJ Glynn is often cited by papers focused on Advanced Causal Inference Techniques (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Alcohol Consumption and Health Effects (2 papers). RJ Glynn collaborates with scholars based in United States and United Kingdom. RJ Glynn's co-authors include Jerry Avorn, Mark Monane, Jerry H. Gurwitz, R Levin, Rhonda L. Bohn, Deepak Voora, Taimour Langaee, DL Veenstra, Paul E. Milligan and P. M. Ridker and has published in prestigious journals such as Blood, American Journal of Epidemiology and American Journal of Public Health.

In The Last Decade

RJ Glynn

19 papers receiving 1.4k citations

Hit Papers

Use of Pharmacogenetic an... 2008 2026 2014 2020 2008 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
RJ Glynn 527 358 240 228 184 20 1.4k
Gloria R. Grice 864 1.6× 217 0.6× 339 1.4× 165 0.7× 119 0.6× 31 1.3k
Tom Schalekamp 1.0k 1.9× 324 0.9× 179 0.7× 212 0.9× 99 0.5× 28 1.7k
Nancy L. Shapiro 405 0.8× 363 1.0× 158 0.7× 75 0.3× 45 0.2× 51 1.1k
Michele M. Spence 149 0.3× 265 0.7× 150 0.6× 181 0.8× 20 0.1× 24 1.2k
Federica Nicotra 96 0.2× 486 1.4× 155 0.6× 163 0.7× 31 0.2× 21 1.5k
Arja Helin‐Salmivaara 121 0.2× 283 0.8× 98 0.4× 375 1.6× 29 0.2× 37 1.4k
Matthijs L. Becker 255 0.5× 283 0.8× 393 1.6× 97 0.4× 29 0.2× 62 1.8k
Hedi Schelleman 360 0.7× 403 1.1× 272 1.1× 68 0.3× 50 0.3× 30 1.1k
Andrea H. Ramirez 478 0.9× 329 0.9× 178 0.7× 108 0.5× 103 0.6× 40 1.7k
Tayyaba Khan 929 1.8× 357 1.0× 436 1.8× 125 0.5× 93 0.5× 23 1.4k

Countries citing papers authored by RJ Glynn

Since Specialization
Citations

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

Fields of papers citing papers by RJ Glynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of RJ Glynn

This figure shows the co-authorship network connecting the top 25 collaborators of RJ Glynn. A scholar is included among the top collaborators of RJ Glynn 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 RJ Glynn. RJ Glynn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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