Lea Merone

21 papers receiving 611 citations

Lea Merone's Hit Papers

A systematic review and meta-analysis of published research data on COVID-19 infection fatality rates 2020 · 267 citations
2670+2+4Years since publication50100150200250

Peers

Lea Merone
Comparison fields: 5 of 128
  • Modeling and Simulation 155
  • Infectious Diseases 167
  • Health 36
  • Parasitology 23
  • Health Informatics 4
Replace Pamela P. Martinez with:
Pamela P. Martinez United States
Shajeea Arshad Ali Pakistan
Roberto de Andrade Medronho Brazil
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Manuel M. Dayrit Philippines
Rosa Crestani Belgium
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Đỗ Thị Thanh Toàn Vietnam
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Citations per field
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Citations per year

Countries citing papers authored by Lea Merone

Since Specialization
Citations

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

Fields of papers citing papers by Lea Merone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lea Merone, 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 Lea Merone Line = papers co-authored together Lea Merone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A systematic review and meta-analysis of published research data on COVID-19 infection fatality rates
Hit paper breakdown →
2020267
2 202263
3 202058
4 202155
5 201928
6 202220
7 201918
8 202316
9 202116
10 201715
11 202013
12 201811
13 202111
14 20226
15 20225
16 20215
17 20215
18 20194
19 20223
20 20203

About Lea Merone

Lea Merone is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Sociology and Political Science, Infectious Diseases and Oncology, having authored 22 papers that have together received 623 indexed citations. Recurring topics across this work include Sex and Gender in Healthcare (5 papers), Gender Roles and Identity Studies (2 papers), Diversity and Career in Medicine (2 papers), Parasites and Host Interactions (2 papers), COVID-19 and healthcare impacts (2 papers), Recycling and Waste Management Techniques (1 paper), Obesity, Physical Activity, Diet (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Modeling and Simulation (155 citations), Infectious Diseases (167 citations), Health (36 citations), Parasitology (23 citations) and Health Informatics (4 citations). Lea Merone has collaborated with scholars based in Australia, Finland and United Kingdom. Frequent co-authors include Gideon Meyerowitz‐Katz, Darren Russell, Cate Nagle, Komla Tsey, Robyn McDermott, Peter Tait, Samir Bhatt, Gavin Yamey, Swapnil Mishra and Mrinank Sharma. Their work appears in journals such as Australian and New Zealand Journal of Public Health, Nature Communications, International Journal of Environmental Research and Public Health, International Journal of Infectious Diseases and BMJ Global Health.

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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