Jose R. Pio
- Endocrinology, Diabetes and Metabolism top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 5%
- Surgery top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Nathan D. WongStanley S. FranklinShaista MalikG. Rhys WilliamsTripthi KamathGilbert L’ItalienEric LeipMartin G. Larson
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Lipoproteins and Cardiovascular Health (5 papers)Blood Pressure and Hypertension Studies (3 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Jose R. Pio
14 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Endocrinology, Diabetes and Metabolism 1.1k
- Cardiology and Cardiovascular Medicine 906
- Epidemiology 539
- Surgery 490
- Public Health, Environmental and Occupational Health 358
Countries citing papers authored by Jose R. Pio
This map shows the geographic impact of Jose R. Pio'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 Jose R. Pio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jose R. Pio more than expected).
Fields of papers citing papers by Jose R. Pio
This network shows the impact of papers produced by Jose R. Pio. 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 Jose R. Pio. The network helps show where Jose R. Pio may publish in the future.
Co-authorship network of co-authors of Jose R. Pio
This figure shows the co-authorship network connecting the top 25 collaborators of Jose R. Pio. A scholar is included among the top collaborators of Jose R. Pio 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 Jose R. Pio. Jose R. Pio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | 13 | |
| 5 | 73 | |
| 6 | 185 | |
| 7 | 104 | |
| 8 | 54 | |
| 9 | 114 | |
| 10 | 0 | |
| 11 | Impact of the Metabolic Syndrome on Mortality From Coronary Heart Disease, Cardiovascular Disease, and All Causes in United States Adultsbreakdown → | 1443 |
| 12 | 2 | |
| 13 | 113 | |
| 14 | 59 | |
| 15 | 99 |
About Jose R. Pio
Jose R. Pio is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 2.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (5 papers) and Blood Pressure and Hypertension Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Cardiology and Cardiovascular Medicine (906 citations) and Epidemiology (539 citations). Jose R. Pio has collaborated with scholars based in United States and Germany. Frequent co-authors include Nathan D. Wong, Stanley S. Franklin, Shaista Malik, G. Rhys Williams, Tripthi Kamath, Gilbert L’Italien, Eric Leip, Martin G. Larson, Ramachandran S. Vasan and Daniel Levy. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Diabetes Care.
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.