Alfonso T. Perez
- Endocrinology, Diabetes and Metabolism top 0.2%
- Molecular Biology top 5%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Oncology top 5%
- Co-authors
- Stuart KupferP. FleckCraig WilsonCyrus R. MehtaChristopher P. CannonGeorge L. BakrisFaı̈ez ZannadWilliam C. Cushman
- Topics
- Diabetes Treatment and Management (5 papers)Peroxisome Proliferator-Activated Receptors (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Alfonso T. Perez
7 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 2.8k
- Molecular Biology 1.3k
- Surgery 882
- Cardiology and Cardiovascular Medicine 676
- Oncology 464
Countries citing papers authored by Alfonso T. Perez
This map shows the geographic impact of Alfonso T. Perez'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 Alfonso T. Perez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfonso T. Perez more than expected).
Fields of papers citing papers by Alfonso T. Perez
This network shows the impact of papers produced by Alfonso T. Perez. 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 Alfonso T. Perez. The network helps show where Alfonso T. Perez may publish in the future.
Co-authorship network of co-authors of Alfonso T. Perez
This figure shows the co-authorship network connecting the top 25 collaborators of Alfonso T. Perez. A scholar is included among the top collaborators of Alfonso T. Perez 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 Alfonso T. Perez. Alfonso T. Perez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Heart failure and mortality outcomes in patients with type 2 diabetes taking alogliptin versus placebo in EXAMINE: a multicentre, randomised, double-blind trialbreakdown → | 551 |
| 2 | 0 | |
| 3 | 37 | |
| 4 | Alogliptin after Acute Coronary Syndrome in Patients with Type 2 Diabetesbreakdown → | 1857 |
| 5 | 35 | |
| 6 | 50 | |
| 7 | 34 | |
| 8 | A Comparison of Lipid and Glycemic Effects of Pioglitazone and Rosiglitazone in Patients With Type 2 Diabetes and Dyslipidemiabreakdown → | 626 |
About Alfonso T. Perez
Alfonso T. Perez is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 3.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.8k citations), Cardiology and Cardiovascular Medicine (676 citations) and Pharmacology (349 citations). Alfonso T. Perez has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Stuart Kupfer, P. Fleck, Craig Wilson, Cyrus R. Mehta, Christopher P. Cannon, George L. Bakris, Faı̈ez Zannad, William C. Cushman, William B. White and Steven E. Nissen. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.