Roberta Leonardi

3.1k citations
72 papers · 2.3k · h-index 28

Impact in

Papers in

    • RNA regulation and disease 11
    • Porphyrin Metabolism and Disorders 8
    • Peroxisome Proliferator-Activated Receptors 6
    • Mitochondrial Function and Pathology 3
    • Neurological diseases and metabolism 23

Roberta Leonardi

64 papers receiving 2.3k citations

Peers

Roberta Leonardi
Comparison fields: 5 of 124
  • Neurology 674
  • Clinical Biochemistry 331
  • Molecular Biology 1.3k
  • Cell Biology 288
  • Biochemistry 128
Replace Dong Kyun Woo with:
Dong Kyun Woo South Korea
Toshiya Arakawa Japan
Ulla Rüetschi Sweden
Axel Périanin France
Yugang Wang China
Deok Ryong Kim South Korea
Elizabeth T. Gum United States
Françoise Brignole‐Baudouin France
D. G. Scarpelli United States
Jiajia Wang China
Roberta Leonardi relative to Dong Kyun Woo South Korea Dong Kyun Woo's profile →
Citations per field
00.5×5.3×
Dong Kyun Woo · 1×
Citations per year

Countries citing papers authored by Roberta Leonardi

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Leonardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011295
2 2007264
3 2012138
4 2006126
5 200487
6 200981
7 201080
8 200775
9 200774
10 200772
11 202070
12 201261
13 201260
14 200755
15 200555
16 200550
17 200449
18 200648
19 200746
20 201042

About Roberta Leonardi

Roberta Leonardi is a scholar working on Molecular Biology, Neurology, Clinical Biochemistry, Rheumatology and Infectious Diseases, having authored 72 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurological diseases and metabolism (23 papers), Metabolism and Genetic Disorders (15 papers), RNA regulation and disease (11 papers), Porphyrin Metabolism and Disorders (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Hemoglobinopathies and Related Disorders (3 papers), Hereditary Neurological Disorders (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Neurology (674 citations), Clinical Biochemistry (331 citations), Molecular Biology (1.3k citations), Cell Biology (288 citations) and Biochemistry (128 citations). Roberta Leonardi has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Suzanne Jackowski, Charles O. Rock, M Caltabiano, Yong-Mei Zhang, Peter L. Roach, Ersilia Barbato, Jerold E. Rehg, Chitra Subramanian, Maurizio Vichi and Matthew R. Garcia. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Nutrients, FEBS Letters and International Journal of Molecular Sciences.

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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