C Marinacci

597 citations
7 papers · 496 · h-index 4

Impact in

Papers in

C Marinacci

6 papers receiving 488 citations

Peers

C Marinacci
Comparison fields: 5 of 77
  • Health 270
  • General Health Professions 262
  • Demography 35
  • Health, Toxicology and Mutagenesis 34
  • Public Health, Environmental and Occupational Health 72
Replace Michelle Allender with:
Michelle Allender United States
Gem P. Daus United States
Rachael McCleary United States
Carlyn M. Hood United States
Paloma Astasio Spain
Magda Gavana Greece
Annabel X. Tan United States
Paola A. Mosquera Sweden
Karen Bouye United States
Maarten J. Bijlsma Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by C Marinacci

Since Specialization
Citations

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

Fields of papers citing papers by C Marinacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2005353
2 200465
3 200859
4 200517
5
[Looking at health inequalities to identify targets].
20031
6
Hierarchical frequentist and Bayesian modelling for evaluating socio-economic and geographic differences in health in an urban setting
20041
7
Risks in the workplace, economic status and educational level as determinants of health inequalities in an Italian urban population.
20040

About C Marinacci

C Marinacci is a scholar working on General Health Professions, Health, Infectious Diseases, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 7 papers that have together received 496 indexed citations. Recurring topics across this work include Health disparities and outcomes (3 papers), Global Health Care Issues (3 papers), Employment and Welfare Studies (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Travel-related health issues (1 paper), Chronic Disease Management Strategies (1 paper), Global Health Workforce Issues (1 paper) and Parasitic Infections and Diagnostics (1 paper). The work is most often cited by research in Health (270 citations), General Health Professions (262 citations), Demography (35 citations), Health, Toxicology and Mutagenesis (34 citations) and Public Health, Environmental and Occupational Health (72 citations). C Marinacci has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giuseppe Costa, Anton E. Kunst, Patrick Deboosere, Sylvie Gadeyne, Martijn Huisman, Matthias Bopp, Carme Borrell, Myer Glickman, Teresa Spadea and Moreno Demaria. Their work appears in journals such as Journal of Epidemiology & Community Health, Epidemiology and Infection, The Lancet and PubMed.

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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