Prem Pais

31.7k total citations · 3 hit papers
53 papers, 12.4k citations indexed

About

Prem Pais is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Prem Pais has authored 53 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 13 papers in Family Practice and 13 papers in Endocrinology, Diabetes and Metabolism. 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, Steven Hawken, Stephanie Ôunpuu, Matthew McQueen, George Varigos and Denis Xavier and has published in prestigious journals such as The Lancet, JAMA and Circulation.

In The Last Decade

Prem Pais

53 papers receiving 11.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study

2004 8.2k citations Salim Yusuf, Álvaro Avezum et al. The Lancet profile →
Efficacy and safety of dabigatran compared with warfarin at different levels of international normalised ratio control for stroke prevention in atrial fibrillation: an analysis of the RE-LY trial

2010 728 citations Lars Wallentin, Salim Yusuf et al. The Lancet profile →
Risk Factors for Early Myocardial Infarction in South Asians Compared With Individuals in Other Countries

2007 722 citations Shashank Joshi, Shofiqul Islam et al. JAMA profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Prem Pais India	24	6.4k	3.0k	2.4k	2.2k	1.6k	53	12.4k
Fernando Laņas Chile	35	6.5k 1.0×	2.5k 0.9×	3.0k 1.3×	2.2k 1.0×	1.5k 0.9×	198	13.4k
Lisheng Liu China	32	6.2k 1.0×	3.3k 1.1×	2.6k 1.1×	2.8k 1.3×	1.8k 1.1×	142	14.6k
Steven Hawken Canada	30	6.6k 1.0×	3.3k 1.1×	2.8k 1.2×	3.1k 1.4×	2.1k 1.3×	132	15.8k
George Varigos Australia	27	4.2k 0.7×	2.1k 0.7×	2.0k 0.8×	1.8k 0.8×	1.3k 0.8×	70	10.2k
Kari Kuulasmaa Finland	57	5.1k 0.8×	1.8k 0.6×	1.4k 0.6×	3.1k 1.4×	2.2k 1.4×	173	12.8k
Lee A. Green United States	29	7.9k 1.2×	2.4k 0.8×	1.8k 0.7×	2.2k 1.0×	1.1k 0.7×	121	14.0k
Michelle A. Albert United States	42	6.1k 0.9×	2.4k 0.8×	3.6k 1.5×	2.4k 1.1×	2.2k 1.4×	115	15.6k
Boback Ziaeian United States	29	6.2k 1.0×	2.0k 0.7×	2.7k 1.1×	1.7k 0.7×	1.3k 0.8×	111	12.4k
Darwin R. Labarthe United States	54	6.7k 1.0×	1.9k 0.6×	1.5k 0.6×	3.7k 1.6×	1.4k 0.9×	227	14.2k
Anushka Patel Australia	57	5.5k 0.9×	6.4k 2.2×	2.5k 1.0×	1.2k 0.5×	1.7k 1.0×	268	14.7k

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).

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.

Co-authorship network of co-authors of Prem Pais

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xavier, Denis, Robert Murphy, Prem Pais, et al.. (2023). Characteristics, clinical practice patterns, and outcomes of strokes in India: INSPIRE—A multicentre prospective study. International Journal of Stroke. 18(8). 965–975. 2 indexed citations

Sepanlou, Sadaf G, Johannes F.E. Mann, Philip Joseph, et al.. (2023). Fixed-Dose Combination Therapy for the Prevention of Cardiovascular Diseases in CKD. Clinical Journal of the American Society of Nephrology. 18(11). 1408–1415. 7 indexed citations

Dagenais, Gilles R., Prem Pais, Peggy Gao, et al.. (2023). Fixed dose combination therapies in primary cardiovascular disease prevention in different groups: an individual participant meta-analysis. Heart. 109(18). 1372–1379. 2 indexed citations

Joseph, Philip, Prem Pais, P. Gao, et al.. (2022). Vitamin D supplementation and adverse skeletal and non-skeletal outcomes in individuals at increased cardiovascular risk: Results from the International Polycap Study (TIPS)-3 randomized controlled trial. Nutrition Metabolism and Cardiovascular Diseases. 33(2). 434–440. 16 indexed citations

Bosch, Jackie, Eva Lonn, Gilles R. Dagenais, et al.. (2021). Antihypertensives and Statin Therapy for Primary Stroke Prevention: A Secondary Analysis of the HOPE-3 Trial. Stroke. 52(8). 2494–2501. 15 indexed citations

Bossard, Matthias, Peggy Gao, William E. Boden, et al.. (2021). Antiplatelet therapy in patients with myocardial infarction without obstructive coronary artery disease. Heart. 107(21). 1739–1747. 29 indexed citations

White, Harvey D., Ralph Stewart, Anthony J. Dalby, et al.. (2020). In patients with stable coronary heart disease, low-density lipoprotein-cholesterol levels < 70 mg/dL and glycosylated hemoglobin A1c < 7% are associated with lower major cardiovascular events. American Heart Journal. 225. 97–107. 3 indexed citations

Joseph, Philip, Prem Pais, Antonio L Dans, et al.. (2018). The International Polycap Study-3 (TIPS-3): Design, baseline characteristics and challenges in conduct. American Heart Journal. 206. 72–79. 22 indexed citations

Renda, Giulia, Marc Y. Donath, Aruna D. Pradhan, et al.. (2018). Anti-Inflammatory Therapy With Canakinumab for the Prevention and Management of Diabetes. Journal of the American College of Cardiology. 71(21). 2392–2401. 248 indexed citations

10.

Xavier, Denis, Rajeev Gupta, Deepak Kamath, et al.. (2016). Community health worker-based intervention for adherence to drugs and lifestyle change after acute coronary syndrome: a multicentre, open, randomised controlled trial. The Lancet Diabetes & Endocrinology. 4(3). 244–253. 91 indexed citations

11.

Rao, Mangala, Denis Xavier, Padmini Devi, et al.. (2015). Prevalence, treatments and outcomes of coronary artery disease in Indians: A systematic review. Indian Heart Journal. 67(4). 302–310. 32 indexed citations

12.

Perel, Pablo, Eduardo Bianco, Neil R Poulter, et al.. (2015). Adapting the World Heart Federation Roadmaps at the National Level: Next Steps and Conclusions. Global Heart. 10(2). 135–135. 7 indexed citations

13.

Devi, Padmini, Mangala Rao, Alben Sigamani, et al.. (2012). Prevalence, risk factors and awareness of hypertension in India: a systematic review. Journal of Human Hypertension. 27(5). 281–287. 100 indexed citations

14.

Karthikeyan, Ganesan & Prem Pais. (2010). Clinical judgement & evidence-based medicine: time for reconciliation. The Indian Journal of Medical Research. 132(5). 623–626. 18 indexed citations

15.

Xavier, Denis, Prem Pais, P.J. Devereaux, et al.. (2008). Treatment and outcomes of acute coronary syndromes in India (CREATE): a prospective analysis of registry data. The Lancet. 371(9622). 1435–1442. 441 indexed citations

16.

Oldgren, Jonas, Lars Wallentin, R. Afzal, et al.. (2007). Effects of fondaparinux in patients with ST-segment elevation acute myocardial infarction not receiving reperfusion treatment. European Heart Journal. 29(3). 315–323. 30 indexed citations

17.

Joshi, Shashank, Shofiqul Islam, Prem Pais, et al.. (2007). Risk Factors for Early Myocardial Infarction in South Asians Compared With Individuals in Other Countries. JAMA. 297(3). 286–286. 722 indexed citations breakdown →

18.

Díaz, Rafael, Abhinav Goyal, Shamir R. Mehta, et al.. (2007). Glucose-Insulin-Potassium Therapy in Patients With ST-Segment Elevation Myocardial Infarction. JAMA. 298(20). 2399–2399. 121 indexed citations

19.

Pais, Prem. (2006). Early intervention and prevention of myocardial infarction. Journal of Hypertension. 24(Suppl 2). S25–S30. 16 indexed citations

20.

George, Elizabeth, Sally Hunsberger, D Savitha, & Prem Pais. (1999). Treatment of acute myocardial infarction: does the type of hospital make a difference? PPAMI Study Group.. PubMed. 51(2). 161–6. 15 indexed citations

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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