Roberta Leonardi

3.2k citations
69 papers · 2.5k · h-index 27

Impact in

Papers in

Roberta Leonardi

61 papers receiving 2.4k citations

Peers

Roberta Leonardi
Comparison fields: 5 of 126
  • Neurology 722
  • Clinical Biochemistry 359
  • Molecular Biology 1.4k
  • Biochemistry 140
  • Cell Biology 313
Replace Junichi Kamiie with:
Junichi Kamiie Japan
Toshiya Arakawa Japan
Axel Périanin France
Yugang Wang China
Lalit Pukhrambam Singh United States
Françoise Brignole‐Baudouin France
D. G. Scarpelli United States
Elizabeth T. Gum United States
Roxana Mayra Gorojod Argentina
Juan M. Cárcamo United States
Roberta Leonardi relative to Junichi Kamiie Japan Junichi Kamiie's profile →
Citations per field
00.5×2×3×4.3×
Junichi Kamiie · 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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011322
2 2007289
3 2012141
4 2006127
5 200491
6 201086
7 200986
8 200781
9 202078
10 200778
11 200775
12 201266
13 201263
14 200559
15 200756
16 200452
17 200551
18 200651
19 200750
20 201046

About Roberta Leonardi

Roberta Leonardi is a scholar working on Neurology, Clinical Biochemistry, Molecular Biology, Biochemistry and Dermatology, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neurological diseases and metabolism (22 papers), Metabolism and Genetic Disorders (14 papers), RNA regulation and disease (11 papers), Porphyrin Metabolism and Disorders (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Diet and metabolism studies (3 papers), Mitochondrial Function and Pathology (3 papers) and Hereditary Neurological Disorders (3 papers). The work is most often cited by research in Neurology (722 citations), Clinical Biochemistry (359 citations), Molecular Biology (1.4k citations), Biochemistry (140 citations) and Cell Biology (313 citations). Roberta Leonardi has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Suzanne Jackowski, Charles O. Rock, Peter L. Roach, Yong-Mei Zhang, Mario Caltabiano, 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 Pathogens.

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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