Pablo Corral
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
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- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
- Surgery 32
- Lipoproteins and Cardiovascular Health 32
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- Lipid metabolism and disorders 5
- Cardiac Valve Diseases and Treatments 2
- Co-authors
- Kausik K. Ray (3 shared papers)Laura Schreier (17 shared papers)Stephen J. Nicholls (1 shared paper)Enrique Morales (1 shared paper)Carlos A. Aguilar‐Salinas (3 shared papers)Rita A. Gómez‐Díaz (1 shared paper)Antonio J. Vallejo‐Vaz (1 shared paper)Walter Massón (14 shared papers)
In The Last Decade
Pablo Corral
38 papers receiving 291 citations
Peers
Comparison fields: 5 of 66
- Endocrinology, Diabetes and Metabolism 72
- Surgery 131
- Cardiology and Cardiovascular Medicine 59
- Cancer Research 32
- Health Informatics 2
Countries citing papers authored by Pablo Corral
This map shows the geographic impact of Pablo Corral'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 Pablo Corral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Corral more than expected).
Fields of papers citing papers by Pablo Corral
This network shows the impact of papers produced by Pablo Corral. 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 Pablo Corral. The network helps show where Pablo Corral may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Corral, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2020 | 44 | |
| 3 | 2021 | 38 | |
| 4 | 2018 | 25 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 8 | |
| 8 | 2017 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 3 |
About Pablo Corral
Pablo Corral is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pharmacology and Economics and Econometrics, having authored 44 papers that have together received 294 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (32 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Lipid metabolism and disorders (5 papers), Diabetes Treatment and Management (3 papers), Cancer, Lipids, and Metabolism (3 papers), Pharmaceutical Economics and Policy (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (72 citations), Surgery (131 citations), Cardiology and Cardiovascular Medicine (59 citations), Cancer Research (32 citations) and Health Informatics (2 citations). Pablo Corral has collaborated with scholars based in Argentina, Spain and Australia. Frequent co-authors include Kausik K. Ray, Laura Schreier, Stephen J. Nicholls, Enrique Morales, Carlos A. Aguilar‐Salinas, Rita A. Gómez‐Díaz, Antonio J. Vallejo‐Vaz, Walter Massón, Juan Patricio Nogueira and Augusto Lavalle Cobo. Their work appears in journals such as Atherosclerosis, Journal of clinical lipidology, Current Problems in Cardiology, Current Opinion in Endocrinology Diabetes and Obesity and Nutrition Metabolism and Cardiovascular Diseases.
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.