Laura Pasea

3.1k total citations · 1 hit paper
31 papers, 1.4k citations indexed

About

Laura Pasea is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Laura Pasea has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Laura Pasea's work include Chronic Disease Management Strategies (6 papers), Heart Failure Treatment and Management (6 papers) and Healthcare cost, quality, practices (5 papers). Laura Pasea is often cited by papers focused on Chronic Disease Management Strategies (6 papers), Heart Failure Treatment and Management (6 papers) and Healthcare cost, quality, practices (5 papers). Laura Pasea collaborates with scholars based in United Kingdom, Netherlands and United States. Laura Pasea's co-authors include Harry Hemingway, Spiros Denaxas, Amitava Banerjee, Aikaterini Anagnostou, Chris Palmer, Pamela Ewan, Andrew Clark, Y. King, Simon Bond and Sabita Islam and has published in prestigious journals such as The Lancet, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

Laura Pasea

31 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study

2020 330 citations Amitava Banerjee, Laura Pasea et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Pasea United Kingdom	16	335	296	238	145	144	31	1.4k
Aihua Bian United States	32	385 1.1×	103 0.3×	368 1.5×	215 1.5×	351 2.4×	86	2.8k
Melissa G. Butler United States	24	242 0.7×	88 0.3×	203 0.9×	152 1.0×	198 1.4×	64	1.7k
France Vrijens United States	20	130 0.4×	103 0.3×	72 0.3×	174 1.2×	96 0.7×	78	1.2k
Holly K. Van Houten United States	25	611 1.8×	307 1.0×	224 0.9×	105 0.7×	299 2.1×	75	2.4k
Olive Tang United States	19	103 0.3×	54 0.2×	249 1.0×	43 0.3×	130 0.9×	65	920
Francis Vekeman United States	22	80 0.2×	131 0.4×	59 0.2×	177 1.2×	133 0.9×	89	1.3k
Dilli Ram Poudel United States	20	229 0.7×	41 0.1×	198 0.8×	63 0.4×	209 1.5×	69	1.2k
Nicole S. Erler Netherlands	26	383 1.1×	75 0.3×	50 0.2×	268 1.8×	507 3.5×	85	1.7k
Yuan Xu Canada	19	224 0.7×	38 0.1×	56 0.2×	225 1.6×	252 1.8×	79	1.1k
L. Sailler France	24	389 1.2×	30 0.1×	111 0.5×	83 0.6×	333 2.3×	135	2.0k

Countries citing papers authored by Laura Pasea

Since Specialization

Citations

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

Fields of papers citing papers by Laura Pasea

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Pasea. 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 Laura Pasea. The network helps show where Laura Pasea may publish in the future.

Co-authorship network of co-authors of Laura Pasea

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Pasea. A scholar is included among the top collaborators of Laura Pasea 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 Laura Pasea. Laura Pasea 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

Pasea, Laura, Mohamed Mohamed, Anish Bhuva, et al.. (2025). Missed opportunities to manage complex comorbidity of heart failure, type 2 diabetes mellitus and chronic kidney disease: a retrospective cohort study. Heart. 111(16). 776–785. 1 indexed citations

Mizani, Mehrdad A., Laura Pasea, Christopher Tomlinson, et al.. (2024). Vaccinations, cardiovascular drugs, hospitalization, and mortality in COVID-19 and Long COVID. International Journal of Infectious Diseases. 146. 107155–107155. 4 indexed citations

Mizani, Mehrdad A., Laura Pasea, Kamlesh Khunti, et al.. (2024). Identifying subtypes of type 2 diabetes mellitus with machine learning: development, internal validation, prognostic validation and medication burden in linked electronic health records in 420 448 individuals. BMJ Open Diabetes Research & Care. 12(3). e004191–e004191. 4 indexed citations

Huang, Nicole, Laura A. Hatfield, Pieter Bakx, et al.. (2024). Comparison of Management and Outcomes of Hip Fractures Among Low- and High-Income Patients in Six High-Income Countries. Journal of General Internal Medicine. 40(11). 2602–2612. 1 indexed citations

Pasea, Laura, Mehrdad A. Mizani, Anish Bhuva, et al.. (2023). Risk factors, outcomes and healthcare utilisation in individuals with multimorbidity including heart failure, chronic kidney disease and type 2 diabetes mellitus: a national electronic health record study. Open Heart. 10(2). e002332–e002332. 8 indexed citations

Landon, Bruce E., Laura A. Hatfield, Pieter Bakx, et al.. (2023). Differences in Treatment Patterns and Outcomes of Acute Myocardial Infarction for Low- and High-Income Patients in 6 Countries. JAMA. 329(13). 1088–1088. 30 indexed citations

Mizani, Mehrdad A., Laura Pasea, Spiros Denaxas, et al.. (2023). Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals. EBioMedicine. 89. 104489–104489. 14 indexed citations

Cram, Peter, Laura A. Hatfield, Pieter Bakx, et al.. (2022). Variation in revascularisation use and outcomes of patients in hospital with acute myocardial infarction across six high income countries: cross sectional cohort study. BMJ. 377. e069164–e069164. 13 indexed citations

Patel, Riyaz, Laura Pasea, Handrean Soran, et al.. (2022). Elevated plasma triglyceride concentration and risk of adverse clinical outcomes in 1.5 million people: a CALIBER linked electronic health record study. Cardiovascular Diabetology. 21(1). 102–102. 23 indexed citations

10.

Banerjee, Amitava, Suliang Chen, Laura Pasea, et al.. (2022). Identifying Subtypes of Heart Failure with Machine Learning: External, Prognostic and Genetic Validation in Three Electronic Health Record Sources with 320,863 Individuals. SSRN Electronic Journal. 2 indexed citations

11.

Banerjee, Amitava, Laura Pasea, Alvina G. Lai, et al.. (2021). ‘What is the risk to me from COVID-19?’: Public involvement in providing mortality risk information for people with ‘high-risk’ conditions for COVID-19 (OurRisk.CoV). Clinical Medicine. 21(6). e620–e628. 2 indexed citations

12.

Banerjee, Amitava, Laura Pasea, Sheng‐Chia Chung, et al.. (2021). A population‐based study of 92 clinically recognized risk factors for heart failure: co‐occurrence, prognosis and preventive potential. European Journal of Heart Failure. 24(3). 466–480. 15 indexed citations

13.

Banerjee, Amitava, Michail Katsoulis, Alvina G. Lai, et al.. (2020). Clinical academic research in the time of Corona: A simulation study in England and a call for action. PLoS ONE. 15(8). e0237298–e0237298. 6 indexed citations

14.

Banerjee, Amitava, Laura Pasea, Steve Harris, et al.. (2020). Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. The Lancet. 395(10238). 1715–1725. 330 indexed citations breakdown →

15.

Pasea, Laura, Sheng‐Chia Chung, Mar Pujades‐Rodríguez, et al.. (2019). Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis. BMC Medicine. 17(1). 206–206. 17 indexed citations

16.

Chung, Sheng‐Chia, Mar Pujades‐Rodríguez, Bram Duyx, et al.. (2018). Time spent at blood pressure target and the risk of death and cardiovascular diseases. PLoS ONE. 13(9). e0202359–e0202359. 27 indexed citations

17.

Pasea, Laura, Sheng‐Chia Chung, Mar Pujades‐Rodríguez, et al.. (2017). Personalising the decision for prolonged dual antiplatelet therapy: development, validation and potential impact of prognostic models for cardiovascular events and bleeding in myocardial infarction survivors. European Heart Journal. 38(14). 1048–1055. 33 indexed citations

18.

Timmis, Adam, Eleni Rapsomaniki, Sheng‐Chia Chung, et al.. (2016). Prolonged dual antiplatelet therapy in stable coronary disease: comparative observational study of benefits and harms in unselected versus trial populations. BMJ. 353. i3163–i3163. 12 indexed citations

19.

Pasea, Laura, Sheng‐Chia Chung, Mar Pujades‐Rodríguez, et al.. (2015). DEVELOPMENT AND VALIDATION OF PROGNOSTIC MODELS FOR MYOCARDIAL INFARCTION, STROKE AND CARDIOVASCULAR DEATH AND HOSPITALISED BLEEDING IN STABLE MYOCARDIAL INFARCTION SURVIVORS. Journal of the American College of Cardiology. 65(10). A1382–A1382. 1 indexed citations

20.

Pasea, Laura, et al.. (2014). Pre-Dialysis Systolic Blood Pressure-Variability Is Independently Associated with All-Cause Mortality in Incident Haemodialysis Patients. PLoS ONE. 9(1). e86514–e86514. 31 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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