Cecilia Superchi

400 citations
10 papers · 215 · h-index 8

Impact in

Papers in

Cecilia Superchi

10 papers receiving 210 citations

Peers

Cecilia Superchi
Comparison fields: 5 of 72
  • Statistics, Probability and Uncertainty 42
  • Health Informatics 4
  • Statistics and Probability 21
  • Family Practice 3
  • Public Health, Environmental and Occupational Health 34
Replace Melissa K. Sharp with:
Melissa K. Sharp United Kingdom
Diana Kelmansky Argentina
Brendan Clarke United Kingdom
Kirby P. Lee United States
Jessica Ritchie United States
Judy Watkins United Kingdom
Nicole Fusco United States
Anna Powell-Smith United Kingdom
Barbara Osimani Italy
Henry Drysdale Australia
Cecilia Superchi relative to Melissa K. Sharp United Kingdom Melissa K. Sharp's profile →
Citations per field
00.5×1.5×2.1×
Melissa K. Sharp · 1×
Citations per year

Countries citing papers authored by Cecilia Superchi

Since Specialization
Citations

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

Fields of papers citing papers by Cecilia Superchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201964
2 201955
3 201724
4 202218
5 201717
6 202013
7 201711
8 20218
9 20203
10 20232

About Cecilia Superchi

Cecilia Superchi is a scholar working on Public Health, Environmental and Occupational Health, Hematology, Nutrition and Dietetics, Statistics, Probability and Uncertainty and Infectious Diseases, having authored 10 papers that have together received 215 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (1 paper), Ethics in Clinical Research (1 paper), Health and Medical Research Impacts (1 paper), Iron Metabolism and Disorders (1 paper), Trace Elements in Health (1 paper), Clinical practice guidelines implementation (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (42 citations), Health Informatics (4 citations), Statistics and Probability (21 citations), Family Practice (3 citations) and Public Health, Environmental and Occupational Health (34 citations). Cecilia Superchi has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Isabelle Boutron, Stijn Vansteelandt, José Antonio González, Iván Solà, Darko Hren, Erik Cobo, Ena Niño de Guzmán, Robin W.M. Vernooij, Luis María Sánchez-Gómez and Anna Selva. Their work appears in journals such as BMJ Open, Journal of Clinical Epidemiology, Scientific Reports, BMC Medical Research Methodology and Maternal and Child Nutrition.

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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