Rosa Gini

118 papers receiving 2.3k citations

Peers

Rosa Gini
Comparison fields: 5 of 147
  • Toxicology 379
  • Family Practice 36
  • Statistics and Probability 177
  • Geriatrics and Gerontology 57
  • Health Information Management 61
Replace Gerald J. Dal Pan with:
Gerald J. Dal Pan United States
Xavier Kurz Netherlands
Melissa A. Robb United States
Peter Arlett Netherlands
Rachel E. Sherman United States
Peter G. M. Mol Netherlands
Preciosa M. Coloma Netherlands
Paul Avillach United States
Gregory W. Daniel United States
Stephan Lanes United States
Rosa Gini relative to Gerald J. Dal Pan United States Gerald J. Dal Pan's profile →
Citations per field
00.5×1.5×
Gerald J. Dal Pan · 1×
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 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010198
2 2017131
3 2014110
4 2014100
5 201692
6 201380
7 201272
8 201772
9 201266
10 201263
11 201449
12 201549
13 201448
14
EU-ADR healthcare database network vs. spontaneous reporting system database: preliminary comparison of signal detection.
201143
15 201340
16 201739
17 201338
18 201538
19 202037
20 201636

About Rosa Gini

Rosa Gini is a scholar working on Toxicology, Epidemiology, Immunology, Infectious Diseases and General Health Professions, having authored 127 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (12 papers), Primary Care and Health Outcomes (6 papers), Biosimilars and Bioanalytical Methods (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Medication Adherence and Compliance (4 papers), Pregnancy and Medication Impact (4 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Toxicology (379 citations), Family Practice (36 citations), Statistics and Probability (177 citations), Geriatrics and Gerontology (57 citations) and Health Information Management (61 citations). Rosa Gini has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Miriam Sturkenboom, Martijn J. Schuemie, Johan van der Lei, Gianluca Trifirò, 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, PLoS ONE, Drug Safety, International Journal of Environmental Research and Public Health and Vaccine.

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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