Brendan M. Everett

11.4k citations
91 papers · 5.2k indexed · 3 hit papers · h-index 36

Impact in

Papers in

Brendan M. Everett

91 papers receiving 5.1k citations

Hit Papers

2020 Expert Consensus Decision Pathway on Novel Therapies for Cardiovascular Risk Reduction in Patients With Type 2 Diabetes 2020 · 292 citations
2922013202620172021100200300400

Peers

Brendan M. Everett
Comparison fields: 5 of 119
  • Cardiology and Cardiovascular Medicine 2.2k
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Surgery 1.6k
  • Internal Medicine 123
  • Immunology 686
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Brendan M. Everett relative to Anand Rohatgi United States Anand Rohatgi's profile →
Citations per field
00.5×3.5×
Anand Rohatgi · 1×
Citations per year

Countries citing papers authored by Brendan M. Everett

Since Specialization
Citations

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

Fields of papers citing papers by Brendan M. Everett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20248
3 202414
4 202319
5 202212
6 202165
7 202036
8 202015
9 2020139
10
Anti-Inflammatory Therapy With Canakinumab for the Prevention of Hospitalization for Heart Failure
Hit paper breakdown →
2019458
11 201921
12 201814
13 2018203
14 20159
15 2015180
16 201391
17 20114
18 2009100
19 2006106
20 20062

About Brendan M. Everett

Brendan M. Everett is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Internal Medicine, Rheumatology and Immunology, having authored 91 papers that have together received 5.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (28 papers), Lipoproteins and Cardiovascular Health (16 papers), Acute Myocardial Infarction Research (14 papers), Diabetes Management and Research (13 papers), Systemic Lupus Erythematosus Research (12 papers), Atherosclerosis and Cardiovascular Diseases (12 papers), Cardiovascular Function and Risk Factors (11 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.2k citations), Endocrinology, Diabetes and Metabolism (1.6k citations), Surgery (1.6k citations), Internal Medicine (123 citations) and Immunology (686 citations). Brendan M. Everett has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Paul M. Ridker, Robert J. Glynn, Peter Libby, Julie E. Buring, Jean MacFadyen, Nancy R. Cook, Aruna D. Pradhan, Tom Thurén, Christine M. Albert and Tobias Kurth. Their work appears in journals such as Circulation, Journal of the American College of Cardiology, Clinical Chemistry, American Heart Journal and Arthritis Care & Research.

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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