Prem Pais

53 papers and 11.6k indexed citations i.

About

Prem Pais is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Family Practice. According to data from OpenAlex, Prem Pais has authored 53 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 13 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Family Practice. Recurrent topics in Prem Pais’s work include Medication Adherence and Compliance (12 papers), Blood Pressure and Hypertension Studies (11 papers) and Lipoproteins and Cardiovascular Health (8 papers). Prem Pais is often cited by papers focused on Medication Adherence and Compliance (12 papers), Blood Pressure and Hypertension Studies (11 papers) and Lipoproteins and Cardiovascular Health (8 papers). Prem Pais collaborates with scholars based in India, Canada and United States. Prem Pais's co-authors include Salim Yusuf, Álvaro Avezum, Andrzej Budaj, Lisheng Liu, Fernando Laņas, Tony Dans, Matthew McQueen, Steven Hawken, George Varigos and Stephanie Ôunpuu and has published in prestigious journals such as The Lancet, JAMA and Circulation.

In The Last Decade

Co-authorship network of co-authors of Prem Pais i

Fields of papers citing papers by Prem Pais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prem Pais

Since Specialization
Citations

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