Lea Merone

1.2k citations
22 papers · 597 indexed · h-index 12

Lea Merone

21 papers receiving 584 citations

Peers

Lea Merone
Comparison fields: 5 of 130
  • Modeling and Simulation 188
  • Infectious Diseases 210
  • Health 48
  • Parasitology 23
  • Gender Studies 28
Replace Liangyu Kang with:
Liangyu Kang China
Christine E. Prue United States
Alyssa S. Parpia United States
Katerina Nikitara Greece
Sarah Scott United States
Nádia Cristina Pinheiro Rodrigues Brazil
Jimoh Amzat Nigeria
Amy Zheng United States
Bryan Patenaude United States
Muhammad Arif Nadeem Saqib Pakistan
Lea Merone relative to Liangyu Kang China Liangyu Kang's profile →
Citations per field
00.5×10×20×30×44.3×
Liangyu Kang · 1×
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-authorship network

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
#Work
1 20240
2 202315
3 202259
4 202219
5 20222
6 20226
7 20225
8 20214
9 202111
10 202112
11 20214
12 202154
13 20202
14 2020262
15 202012
16 201916
17 201927
18 20194
19 201810
20 201715

About Lea Merone

Lea Merone is a scholar working on Gender Studies, Modeling and Simulation, Pharmacy, Public Health, Environmental and Occupational Health and Parasitology, having authored 22 papers that have together received 597 indexed citations. Recurring topics across this work include Sex and Gender in Healthcare (6 papers), Diversity and Career in Medicine (5 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 epidemiological studies (2 papers), Climate Change and Health Impacts (2 papers), Gender Roles and Identity Studies (2 papers), Global Public Health Policies and Epidemiology (2 papers) and Obesity and Health Practices (2 papers). The work is most often cited by research in Modeling and Simulation (188 citations), Infectious Diseases (210 citations), Health (48 citations), Parasitology (23 citations) and Gender Studies (28 citations). Lea Merone has collaborated with scholars based in Australia, Finland and Denmark. Frequent co-authors include Gideon Meyerowitz‐Katz, Darren Russell, Komla Tsey, Cate Nagle, Robyn McDermott, Peter Tait, Sören Mindermann, Michaela Vollmer, Jan Brauner and Swapnil Mishra. Their work appears in journals such as Australian and New Zealand Journal of Public Health, BMJ Global Health, Nature Communications, International Journal of Environmental Research and Public Health and International Journal of Infectious Diseases.

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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