Emilio La Rosa

440 citations
7 papers · 276 indexed · h-index 6
Topics
Healthcare Systems and Practices (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)Diabetes Management and Education (2 papers)
Partner nations
FranceUnited States

In The Last Decade

Emilio La Rosa

7 papers receiving 263 citations

Peers

Emilio La Rosa
Comparison fields: 5 of 72
  • General Health Professions 95
  • Endocrinology, Diabetes and Metabolism 69
  • Epidemiology 54
  • Public Health, Environmental and Occupational Health 48
  • Health 45
Replace Ruba M. Jaber with:
Ruba M. Jaber Jordan
Hyun Jung Song Australia
E. Labbé France
Camilla Sortsø Denmark
Sharmala Thuraisingam Australia
Laurene Tumiel‐Berhalter United States
Kumudu Wijewardene Sri Lanka
Sewnet Adem Kebede Ethiopia
Abigail R. Barker United States
Jennifer O’Brien Canada
Emilio La Rosa relative to Ruba M. Jaber Jordan Ruba M. Jaber's profile →
Citations per field
00.5×1.5×2.4×
Ruba M. Jaber · 1×
Citations per year

Countries citing papers authored by Emilio La Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Emilio La Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emilio La Rosa. 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 Emilio La Rosa. The network helps show where Emilio La Rosa may publish in the future.

Co-authorship network of co-authors of Emilio La Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Emilio La Rosa. A scholar is included among the top collaborators of Emilio La Rosa 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 Emilio La Rosa. Emilio La Rosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 15
2 5
3 88
4 135
5 9
6
[Socioeconomic determinism of obesity in the Seine-Saint-Denis area].
18
7 6

About Emilio La Rosa

Emilio La Rosa is a scholar working on Urban Studies, General Health Professions and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 276 indexed citations. Recurring topics across this work include Healthcare Systems and Practices (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Diabetes Management and Education (2 papers). The work is most often cited by research in Health (45 citations), Endocrinology, Diabetes and Metabolism (69 citations) and General Health Professions (95 citations). Emilio La Rosa has collaborated with scholars based in France and United States. Frequent co-authors include Hervé Le Clésiau, Catherine Sass, R. Cohen, Gérard Reach, H. Bihan, Philippe Le Toumelin, P. Valensi, Virginie Dauphinot, Laurent Gerbaud and J.‐P. Giordanella. Their work appears in journals such as Diabetes Care, Diabetes & Metabolism and La Presse Médicale.

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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