Rosa Gini

152 papers receiving 3.0k citations

Peers

Rosa Gini
Comparison fields: 5 of 155
  • Toxicology 477
  • Family Practice 44
  • Statistics and Probability 215
  • Geriatrics and Gerontology 78
  • Health Information Management 71
Replace Xavier Kurz with:
Xavier Kurz Netherlands
Brian C. Sauer United States
Daniel R. Morales United Kingdom
Pamala A. Pawloski United States
Lorna Hazell United Kingdom
Gregory W. Daniel United States
Stephan Lanes United States
Sten Olsson Sweden
Eugène van Puijenbroek Netherlands
Bernard Bégaud France
Rosa Gini relative to Xavier Kurz Netherlands Xavier Kurz's profile →
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Citations per year

Countries citing papers authored by Rosa Gini

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Gini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010210
2 2017141
3 2014130
4 2014106
5 201696
6 201386
7 201779
8 201277
9 201273
10 201871
11 201265
12 201455
13 201553
14 201453
15 202051
16 201747
17 202146
18 201345
19 201645
20
EU-ADR healthcare database network vs. spontaneous reporting system database: preliminary comparison of signal detection.
201145

About Rosa Gini

Rosa Gini is a scholar working on Toxicology, Immunology, Infectious Diseases, Rheumatology and Family Practice, having authored 166 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (15 papers), Biosimilars and Bioanalytical Methods (9 papers), Pregnancy and Medication Impact (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Pharmacological Effects and Toxicity Studies (6 papers), Primary Care and Health Outcomes (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Medication Adherence and Compliance (4 papers). The work is most often cited by research in Toxicology (477 citations), Family Practice (44 citations), Statistics and Probability (215 citations), Geriatrics and Gerontology (78 citations) and Health Information Management (71 citations). Rosa Gini has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Miriam Sturkenboom, Martijn J. Schuemie, Gianluca Trifirò, Johan van der Lei, Giampiero Mazzaglia, Preciosa M. Coloma, Ron M. C. Herings, Lars Pedersen, Gino Picelli and Julia Hippisley‐Cox. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Drug Safety, PLoS ONE, Vaccine and Frontiers in Pharmacology.

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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