Elsa Valdés‐Márquez
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials 8
- Statistical Methods and Bayesian Inference 2
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- Optimal Experimental Design Methods 4
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- Atrial Fibrillation Management and Outcomes 2
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- Lipoproteins and Cardiovascular Health 5
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- Health Systems, Economic Evaluations, Quality of Life 4
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- Atherosclerosis and Cardiovascular Diseases 4
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- Adipokines, Inflammation, and Metabolic Diseases 2
- Co-authors
- Jemma C. HopewellStephen BurgessVerena ZuberBenjamin B. SunBradford B. WorrallSarah ParishJohn WhiteheadRobert Clarke
- Cited by
- Statistics and ProbabilityEndocrinology, Diabetes and MetabolismManagement Science and Operations Research
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Elsa Valdés‐Márquez
19 papers receiving 455 citations
Peers
Comparison fields: 5 of 77
- Statistics and Probability 94
- Endocrinology, Diabetes and Metabolism 68
- Management Science and Operations Research 50
- Cardiology and Cardiovascular Medicine 88
- Surgery 170
Countries citing papers authored by Elsa Valdés‐Márquez
This map shows the geographic impact of Elsa Valdés‐Márquez'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 Elsa Valdés‐Márquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elsa Valdés‐Márquez more than expected).
Fields of papers citing papers by Elsa Valdés‐Márquez
This network shows the impact of papers produced by Elsa Valdés‐Márquez. 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 Elsa Valdés‐Márquez. The network helps show where Elsa Valdés‐Márquez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elsa Valdés‐Márquez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 14 | |
| 2 | 2022 | 10 | |
| 3 | 2021 | 10 | |
| 4 | 2021 | 10 | |
| 5 | 2019 | 51 | |
| 6 | 2018 | 24 | |
| 7 | 2018 | 67 | |
| 8 | 2017 | 39 | |
| 9 | 2017 | 98 | |
| 10 | 2015 | 2 | |
| 11 | 2013 | 3 | |
| 12 | Use of secondary preventive medications in patients with atherosclerotic disease in urban China: a cross-sectional study of 16, 860 patients. | 2012 | 9 |
| 13 | 2012 | 3 | |
| 14 | 2011 | 6 | |
| 15 | 2010 | 20 | |
| 16 | 2010 | 42 | |
| 17 | 2009 | 6 | |
| 18 | 2008 | 12 | |
| 19 | 2007 | 36 |
About Elsa Valdés‐Márquez
Elsa Valdés‐Márquez is a scholar working on Statistics and Probability, Biochemistry and Management Science and Operations Research, having authored 19 papers that have together received 462 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (8 papers), Lipoproteins and Cardiovascular Health (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Optimal Experimental Design Methods (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Statistical Methods and Bayesian Inference (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Statistics and Probability (94 citations), Endocrinology, Diabetes and Metabolism (68 citations) and Management Science and Operations Research (50 citations). Elsa Valdés‐Márquez has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Jemma C. Hopewell, Stephen Burgess, Verena Zuber, Benjamin B. Sun, Bradford B. Worrall, Sarah Parish, John Whitehead, Robert Clarke, Rory Collins and Michael Hill. Their work appears in journals such as Neurology, Stroke and European Heart Journal.
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.