Rita Roberti

74 papers receiving 1.2k citations

Peers

Rita Roberti
Comparison fields: 5 of 99
  • Biochemistry 252
  • Clinical Biochemistry 153
  • Molecular Biology 696
  • Cancer Research 135
  • Neurology 46
Replace Tomas Welbourne with:
Tomas Welbourne United States
Annette Graham United Kingdom
Veronica Fitzgerald United States
Jean‐Claude Thiers France
Daniele Penzo Italy
Bogdan Gabriel Gugiu United States
Sehwan Jang Puerto Rico
Joyce E. Becker United States
Ladislav Dory United States
Hong Xin China
Rita Roberti relative to Tomas Welbourne United States Tomas Welbourne's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rita Roberti

Since Specialization
Citations

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

Fields of papers citing papers by Rita Roberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199375
2 197352
3 200652
4 201449
5 200841
6 200236
7 197332
8 201131
9 200730
10 200429
11 197428
12 199028
13 201728
14 201528
15 197527
16 201526
17 200226
18 201425
19 201124
20 201324

About Rita Roberti

Rita Roberti is a scholar working on Biochemistry, Clinical Biochemistry, Molecular Biology, Surgery and Pathology and Forensic Medicine, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (20 papers), Metabolism and Genetic Disorders (16 papers), Peroxisome Proliferator-Activated Receptors (13 papers), Mitochondrial Function and Pathology (13 papers), Cholesterol and Lipid Metabolism (10 papers), Lipid Membrane Structure and Behavior (7 papers), Alcohol Consumption and Health Effects (6 papers) and ATP Synthase and ATPases Research (6 papers). The work is most often cited by research in Biochemistry (252 citations), Clinical Biochemistry (153 citations), Molecular Biology (696 citations), Cancer Research (135 citations) and Neurology (46 citations). Rita Roberti has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Luciano Binaglia, Lanfranco Corazzi, G Porcellati, Paolo Gresele, Lara Macchioni, Magdalena Davidescu, Giuseppe Porcellati, Guido Goracci, Giuseppe Servillo and Maria Agnese Della Fazia. Their work appears in journals such as The Journal of Membrane Biology, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of Neurochemistry, Journal of Bioenergetics and Biomembranes and Scientific Reports.

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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