Gabriella Righetti

16 papers receiving 460 citations

Peers

Gabriella Righetti
Comparison fields: 5 of 58
  • Hematology 131
  • Nephrology 55
  • Genetics 50
  • Molecular Biology 254
  • Oncology 65
Replace Henriette Josephine Kaminski with:
Henriette Josephine Kaminski Germany
Rossella Belleli Switzerland
John Townsend United Kingdom
Goran B. Matic Germany
Kinga Musiał Poland
Anita W.L. Tsang Hong Kong
S. L. Schrier United States
Linde M. Morsink Netherlands
Peter G. Tipping Australia
Harris Jw United States
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Citations per field
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Citations per year

Countries citing papers authored by Gabriella Righetti

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Righetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2009220
2 199872
3 202051
4 202049
5 199829
6 199112
7
Lipoprotein(a) concentrations are increased in patients with myocardial infarction and angiographically normal coronary arteries.
199310
8 19948
9 19897
10 20086
11
[L-carnitine for the treatment of acute myocardial infarct].
19905
12 19844
13 19873
14 19893
15 19881
16
Accuracy of cholesterol measurements in Italian clinical laboratories. Joint project GISSI prevention--Italian Society of Clinical Biochemistry. SIBioC GISSI Prevenzione Group.
19971

About Gabriella Righetti

Gabriella Righetti is a scholar working on Endocrinology, Diabetes and Metabolism, Hematology, Surgery, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 16 papers that have together received 481 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Multiple Myeloma Research and Treatments (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Cardiovascular Function and Risk Factors (1 paper), vaccines and immunoinformatics approaches (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Hematology (131 citations), Nephrology (55 citations), Genetics (50 citations), Molecular Biology (254 citations) and Oncology (65 citations). Gabriella Righetti has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Maria Stella Graziani, Francesca Lavatelli, Remigio Moratti, Cristina Marchetti, Tiziana Bosoni, Mario Nuvolone, Giovanni O. Palladini, Giampaolo Merlini, Maddalena Marini and G.V. Melzi d’Eril. Their work appears in journals such as Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), European Journal of Epidemiology, Neurological Sciences and The Lancet.

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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