Elizabeth M. Garry

29 papers and 511 indexed citations i.

About

Elizabeth M. Garry is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Elizabeth M. Garry has authored 29 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Statistics and Probability and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Elizabeth M. Garry’s work include Diabetes Treatment and Management (6 papers), Advanced Causal Inference Techniques (6 papers) and Statistical Methods in Clinical Trials (5 papers). Elizabeth M. Garry is often cited by papers focused on Diabetes Treatment and Management (6 papers), Advanced Causal Inference Techniques (6 papers) and Statistical Methods in Clinical Trials (5 papers). Elizabeth M. Garry collaborates with scholars based in United States, Germany and Canada. Elizabeth M. Garry's co-authors include Elisabetta Patorno, Sebastian Schneeweiß, Jeremy A. Rassen, Jessica M. Franklin, Kenneth Quinto, Nileesa Gautam, Hemin Lee, Rishi Desai, Robert J. Glynn and Lily G. Bessette and has published in prestigious journals such as Circulation, PLoS ONE and Diabetologia.

In The Last Decade

Co-authorship network of co-authors of Elizabeth M. Garry i

Fields of papers citing papers by Elizabeth M. Garry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth M. Garry. 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 Elizabeth M. Garry. The network helps show where Elizabeth M. Garry may publish in the future.

Countries citing papers authored by Elizabeth M. Garry

Since Specialization
Citations

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

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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2025