Juan P. Casas

33.5k total citations · 2 hit papers
127 papers, 8.5k citations indexed

About

Juan P. Casas is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Epidemiology. According to data from OpenAlex, Juan P. Casas has authored 127 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 26 papers in Genetics and 25 papers in Epidemiology. Recurrent topics in Juan P. Casas's work include Genetic Associations and Epidemiology (18 papers), Pregnancy and preeclampsia studies (16 papers) and Lipoproteins and Cardiovascular Health (13 papers). Juan P. Casas is often cited by papers focused on Genetic Associations and Epidemiology (18 papers), Pregnancy and preeclampsia studies (16 papers) and Lipoproteins and Cardiovascular Health (13 papers). Juan P. Casas collaborates with scholars based in United Kingdom, United States and Colombia. Juan P. Casas's co-authors include Aroon D. Hingorani, Leonelo E. Bautista, Liam Smeeth, Tina Shah, Steve E. Humphries, Pablo Perel, Pankaj Sharma, Shah Ebrahim, Patricio López‐Jaramillo and Michael V. Holmes and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Juan P. Casas

125 papers receiving 8.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The druggable genome and support for target identification and validation in drug development

2017 494 citations Chris Finan, Tina Shah et al. profile →
Preeclampsia and Cardiovascular Disease in a Large UK Pregnancy Cohort of Linked Electronic Health Records

2019 187 citations David Prieto‐Merino, Juan P. Casas et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Juan P. Casas United Kingdom	46	2.3k	1.2k	1.2k	1.1k	998	127	8.5k
Martina Montagnana Italy	52	1.8k 0.8×	1.7k 1.4×	1.4k 1.2×	1.3k 1.2×	2.3k 2.3×	345	11.3k
Christian Delles United Kingdom	49	3.1k 1.4×	553 0.4×	1.1k 1.0×	2.0k 1.8×	953 1.0×	283	8.5k
Maryam Kavousi Netherlands	47	3.0k 1.3×	1.2k 0.9×	1.2k 1.0×	942 0.9×	1.1k 1.1×	292	9.0k
Joseph V. Selby United States	56	2.4k 1.1×	1.8k 1.4×	1.4k 1.2×	1.1k 1.0×	955 1.0×	110	10.5k
Ioanna Tzoulaki United Kingdom	58	2.3k 1.0×	1.9k 1.5×	1.7k 1.4×	2.1k 1.9×	1.6k 1.6×	186	13.9k
Sanne A. E. Peters United Kingdom	54	3.8k 1.7×	1.4k 1.1×	1.2k 1.0×	490 0.4×	790 0.8×	187	9.7k
Pamela Ouyang United States	60	5.7k 2.5×	1.1k 0.8×	2.0k 1.7×	704 0.6×	1.5k 1.5×	237	11.5k
Paul Welsh United Kingdom	64	3.3k 1.5×	2.0k 1.6×	1.6k 1.3×	1.7k 1.5×	2.5k 2.5×	302	12.1k
Nikhil Tandon India	53	1.1k 0.5×	1.6k 1.3×	1.4k 1.2×	1.0k 0.9×	1.2k 1.2×	513	11.7k
David W. Kaufman United States	57	973 0.4×	1.0k 0.8×	1.5k 1.3×	654 0.6×	809 0.8×	178	11.1k

Countries citing papers authored by Juan P. Casas

Since Specialization

Citations

This map shows the geographic impact of Juan P. Casas'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 Juan P. Casas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan P. Casas more than expected).

Fields of papers citing papers by Juan P. Casas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan P. Casas. 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 Juan P. Casas. The network helps show where Juan P. Casas may publish in the future.

Co-authorship network of co-authors of Juan P. Casas

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

All Works

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20 of 20 papers shown

Dickerman, Barbra A., Hanna Gerlovin, Arin L. Madenci, et al.. (2023). Comparative effectiveness of third doses of mRNA-based COVID-19 vaccines in US veterans. Nature Microbiology. 8(1). 55–63. 21 indexed citations

Quintero-Lesmes, Doris Cristina, Paula K. Bautista‐Niño, David Williams, et al.. (2023). Uric acid and risk of pre-eclampsia: results from a large case–control study and meta-analysis of prospective studies. Scientific Reports. 13(1). 3018–3018. 13 indexed citations

Honerlaw, Jacqueline, Yuk‐Lam Ho, Michael T. Murray, et al.. (2023). Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase. Journal of the American Medical Informatics Association. 30(5). 958–964. 7 indexed citations

Gerlovin, Hanna, Arin L. Madenci, James M. Robins, et al.. (2023). Comparison of the Test-negative Design and Cohort Design With Explicit Target Trial Emulation for Evaluating COVID-19 Vaccine Effectiveness. Epidemiology. 35(2). 137–149. 9 indexed citations

Joseph, Jacob, Chang Liu, Qin Hui, et al.. (2022). Genetic architecture of heart failure with preserved versus reduced ejection fraction. Nature Communications. 13(1). 32 indexed citations

Prieto‐Merino, David, Lou Atkins, Robert Horne, et al.. (2021). Efficacy and Safety of Text Messages Targeting Adherence to Cardiovascular Medications in Secondary Prevention: TXT2HEART Colombia Randomized Controlled Trial. JMIR mhealth and uhealth. 9(7). e25548–e25548. 13 indexed citations

Ward, Rachel E., Xuan‐Mai T. Nguyen, Yanping Li, et al.. (2021). Racial and Ethnic Disparities in U.S. Veteran Health Characteristics. International Journal of Environmental Research and Public Health. 18(5). 2411–2411. 21 indexed citations

Dickerman, Barbra A., Hanna Gerlovin, Arin L. Madenci, et al.. (2021). Comparative Effectiveness of BNT162b2 and mRNA-1273 Vaccines in U.S. Veterans. New England Journal of Medicine. 386(2). 105–115. 150 indexed citations

Wannamethee, S. Goya, Jorgen Engmann, Tom R. Gaunt, et al.. (2020). Establishing reference intervals for triglyceride-containing lipoprotein subfraction metabolites measured using nuclear magnetic resonance spectroscopy in a UK population. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 58(1). 47–53. 3 indexed citations

10.

George, Marc J., Ola Kleveland, Jorge García‐Hernández, et al.. (2020). Novel Insights Into the Effects of Interleukin 6 Antagonism in Non–ST‐Segment–Elevation Myocardial Infarction Employing the SOMAscan Proteomics Platform. Journal of the American Heart Association. 9(12). e015628–e015628. 17 indexed citations

11.

Pietzner, Maik, Eleanor Wheeler, Julia Carrasco-Zanini, et al.. (2020). Genetic architecture of host proteins involved in SARS-CoV-2 infection. Nature Communications. 11(1). 6397–6397. 69 indexed citations

12.

Carrillo‐Larco, Rodrigo M., J. Jaime Miranda, Robert H. Gilman, et al.. (2019). Urbanization and Altitude Are Associated with Low Kidney Function in Peru. High Altitude Medicine & Biology. 20(2). 133–140. 4 indexed citations

13.

Seoane, José A., Colin Campbell, Ian N.M. Day, Juan P. Casas, & Tom R. Gaunt. (2014). Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery. PLoS Computational Biology. 10(10). e1003876–e1003876. 24 indexed citations

14.

Seoane, José A., Ian N. M. Day, Juan P. Casas, Colin Campbell, & Tom R. Gaunt. (2014). A Random Forest proximity matrix as a new measure for gene annotation. The European Symposium on Artificial Neural Networks. 1 indexed citations

15.

Dale, Caroline, Ann Bowling, Joy Adamson, et al.. (2013). Predictors of patterns of change in health-related quality of life in older women over 7 years: evidence from a prospective cohort study. Age and Ageing. 42(3). 312–318. 31 indexed citations

16.

Sofat, Reecha, Juan P. Casas, Meena Kumari, et al.. (2010). Genetic variation in complement factor H and risk of coronary heart disease: Eight new studies and a meta-analysis of around 48,000 individuals. Atherosclerosis. 213(1). 184–190. 25 indexed citations

17.

Casas, Juan P., et al.. (2008). [Normal lung volumes in patients with idiopathic pulmonary fibrosis and emphysema].. PubMed. 68(4). 282–4. 7 indexed citations

18.

Bautista, Leonelo E., Liam Smeeth, Aroon D. Hingorani, & Juan P. Casas. (2006). Estimation of Bias in Nongenetic Observational Studies Using “Mendelian Triangulation”. Annals of Epidemiology. 16(9). 675–680. 40 indexed citations

19.

Serrano, Norma C., Luis Alfonso Díaz‐Martínez, Álvaro Monterrosa, et al.. (2006). Angiotensin-Converting Enzyme I/D Polymorphism and Preeclampsia Risk: Evidence of Small-Study Bias. PLoS Medicine. 3(12). e520–e520. 45 indexed citations

20.

Casas, Juan P., et al.. (2005). Bronquiolitis obliterante con nuemonía organizante. Un amplio espectro clínico para una histología similar. Redalyc (Universidad Autónoma del Estado de México). 1 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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