Laura Pasea

3.1k citations
31 papers · 1.4k · 1 hit paper · h-index 16

Impact in

Papers in

Laura Pasea

31 papers receiving 1.3k citations

Laura Pasea's Hit Papers

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
3300+2+4Years since publication100200300

Peers

Laura Pasea
Comparison fields: 5 of 120
  • Immunology and Allergy 296
  • Transplantation 91
  • Modeling and Simulation 71
  • Cardiology and Cardiovascular Medicine 238
  • Hepatology 81
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Citations per year

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-authors

The 25 scholars most cited alongside Laura Pasea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laura Pasea Line = papers co-authored together Laura Pasea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study
Hit paper breakdown →
2020330
2 2014296
3 2019117
4 201496
5 201592
6 201480
7 202034
8 201733
9 201431
10 202330
11 201827
12 202327
13 201827
14 202223
15 201917
16 202115
17 202314
18 202213
19 201612
20 20149

About Laura Pasea

Laura Pasea is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, General Health Professions and Epidemiology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (6 papers), Chronic Disease Management Strategies (6 papers), Diabetes Treatment and Management (5 papers), Healthcare cost, quality, practices (5 papers), Acute Myocardial Infarction Research (5 papers), COVID-19 and healthcare impacts (4 papers), Atrial Fibrillation Management and Outcomes (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Immunology and Allergy (296 citations), Transplantation (91 citations), Modeling and Simulation (71 citations), Cardiology and Cardiovascular Medicine (238 citations) and Hepatology (81 citations). Laura Pasea has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Spiros Denaxas, Harry Hemingway, Amitava Banerjee, Aikaterini Anagnostou, Y. King, Pamela Ewan, Simon Bond, Andrew Clark, Chris Palmer and Sabita Islam. Their work appears in journals such as PLoS ONE, The Lancet, BMJ, JAMA and Journal of the American Medical Informatics Association.

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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