Elsa Valdés‐Márquez

923 total citations
19 papers, 462 citations indexed

About

Elsa Valdés‐Márquez is a scholar working on Statistics and Probability, Surgery and Immunology. According to data from OpenAlex, Elsa Valdés‐Márquez has authored 19 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 5 papers in Surgery and 5 papers in Immunology. Recurrent topics in Elsa Valdés‐Márquez's work include Statistical Methods in Clinical Trials (8 papers), Lipoproteins and Cardiovascular Health (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Elsa Valdés‐Márquez is often cited by papers focused on Statistical Methods in Clinical Trials (8 papers), Lipoproteins and Cardiovascular Health (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Elsa Valdés‐Márquez collaborates with scholars based in United Kingdom, United States and Sweden. Elsa Valdés‐Márquez's 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 and has published in prestigious journals such as Neurology, Stroke and European Heart Journal.

In The Last Decade

Elsa Valdés‐Márquez

19 papers receiving 455 citations

Peers

Elsa Valdés‐Márquez

SURGE

GENET

CCM

Kuolung Hu United States

Abhishek Mewada United States

Charlotte McDonald Canada

Michelle Geller United States

Laurent Kassalow United States

Pietari Ripatti Finland

Faisal Majeed United States

Anna McGlothlin United States

Jared Spitz United States

Amy Damask United States

Kuolung Hu United States

Elsa Valdés‐Márquez

65 ×0.4

SURGE

87 ×0.9

GENET

36 ×0.4

88 ×1.0

CCM

183 ×2.7

Citations per year, relative to Elsa Valdés‐Márquez Elsa Valdés‐Márquez (= 1×) peers Kuolung Hu

Countries citing papers authored by Elsa Valdés‐Márquez

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Elsa Valdés‐Márquez

This figure shows the co-authorship network connecting the top 25 collaborators of Elsa Valdés‐Márquez. A scholar is included among the top collaborators of Elsa Valdés‐Márquez 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 Elsa Valdés‐Márquez. Elsa Valdés‐Márquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Valdés‐Márquez, Elsa, Robert Clarke, Michael Hill, Hugh Watkins, & Jemma C. Hopewell. (2023). Proteomic profiling identifies novel independent relationships between inflammatory proteins and myocardial infarction. European Journal of Preventive Cardiology. 30(7). 583–591. 14 indexed citations

Clarke, Robert, Imen Hammami, Paul Sherliker, et al.. (2022). Oxidized phospholipids on apolipoprotein B-100 versus plasminogen and risk of coronary heart disease in the PROCARDIS study. Atherosclerosis. 354. 15–22. 10 indexed citations

Gajendragadkar, Parag, M Ibrahim, Elsa Valdés‐Márquez, et al.. (2021). Assessment of the causal relevance of ECG parameters for risk of atrial fibrillation: A mendelian randomisation study. PLoS Medicine. 18(5). e1003572–e1003572. 10 indexed citations

Camm, C Fielder, Ben Lacey, M. Sofia Massa, et al.. (2021). Independent effects of adiposity measures on risk of atrial fibrillation in men and women: a study of 0.5 million individuals. International Journal of Epidemiology. 51(3). 984–995. 10 indexed citations

Valdés‐Márquez, Elsa, et al.. (2019). Relative effects of LDL-C on ischemic stroke and coronary disease. Neurology. 92(11). e1176–e1187. 51 indexed citations

Clarke, Robert, Elsa Valdés‐Márquez, Michael Hill, et al.. (2018). Plasma cytokines and risk of coronary heart disease in the PROCARDIS study. Open Heart. 5(1). e000807–e000807. 24 indexed citations

Parish, Sarah, Jemma C. Hopewell, Michael Hill, et al.. (2018). Impact of Apolipoprotein(a) Isoform Size on Lipoprotein(a) Lowering in the HPS2-THRIVE Study. Circulation Genomic and Precision Medicine. 11(2). e001696–e001696. 67 indexed citations

Hopewell, Jemma C., Rainer Malik, Elsa Valdés‐Márquez, Bradford B. Worrall, & Rory Collins. (2017). Differential effects of PCSK9 variants on risk of coronary disease and ischaemic stroke. European Heart Journal. 39(5). 354–359. 39 indexed citations

Burgess, Stephen, Verena Zuber, Elsa Valdés‐Márquez, Benjamin B. Sun, & Jemma C. Hopewell. (2017). Mendelian randomization with fine‐mapped genetic data: Choosing from large numbers of correlated instrumental variables. Genetic Epidemiology. 41(8). 714–725. 98 indexed citations

10.

Knott, Carol, Elsa Valdés‐Márquez, Martin Landray, Jane Armitage, & Jemma C. Hopewell. (2015). Improving efficiency of on-site monitoring in multicentre clinical trials by targeting visits. Trials. 16(S2). 2 indexed citations

11.

Valdés‐Márquez, Elsa, Jemma C. Hopewell, Jane Armitage, & Martin Landray. (2013). Central statistical monitoring in multicentre clinical trials: developing statistical approaches for analysing key risk indicators. Trials. 14(S1). 3 indexed citations

12.

Li, Jinglin, Xi Li, Jane Armitage, et al.. (2012). Use of secondary preventive medications in patients with atherosclerotic disease in urban China: a cross-sectional study of 16, 860 patients.. PubMed. 125(24). 4361–7. 9 indexed citations

13.

Todd, Susan, et al.. (2012). A practical comparison of blinded methods for sample size reviews in survival data clinical trials. Pharmaceutical Statistics. 11(2). 141–148. 3 indexed citations

14.

Valdés‐Márquez, Elsa, et al.. (2011). A key risk indicator approach to central statistical monitoring in multicentre clinical trials: method development in the context of an ongoing large-scale randomized trial. Trials. 12(S1). 6 indexed citations

15.

Friede, Tim, Richard Nicholas, Nigel Stallard, et al.. (2010). Refinement of the Clinical Scenario Evaluation Framework for Assessment of Competing Development Strategies with an Application to Multiple Sclerosis. Drug Information Journal. 44(6). 713–718. 20 indexed citations

16.

Chataway, Jeremy, Richard Nicholas, Susan Todd, et al.. (2010). A novel adaptive design strategy increases the efficiency of clinical trials in secondary progressive multiple sclerosis. Multiple Sclerosis Journal. 17(1). 81–88. 42 indexed citations

17.

Whitehead, John, et al.. (2009). Using Historical Lesion Volume Data in the Design of a New Phase II Clinical Trial in Acute Stroke. Stroke. 40(4). 1347–1352. 6 indexed citations

18.

Whitehead, John, et al.. (2008). A simple two‐stage design for quantitative responses with application to a study in diabetic neuropathic pain. Pharmaceutical Statistics. 8(2). 125–135. 12 indexed citations

19.

Whitehead, John, Elsa Valdés‐Márquez, Patrick Johnson, & Gordon Graham. (2007). Bayesian sample size for exploratory clinical trials incorporating historical data. Statistics in Medicine. 27(13). 2307–2327. 36 indexed citations

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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