Roberta Ramella

13 papers receiving 368 citations

Peers

Roberta Ramella
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 83
  • Cardiology and Cardiovascular Medicine 94
  • Developmental Neuroscience 15
  • Genetics 31
  • Physiology 72
Replace Alexander Widiapradja with:
Alexander Widiapradja Australia
Sulochana Devi United States
Dan Edwall Sweden
Sara Welch United States
Luis Montecinos Chile
Chan Boriboun United States
Salina Gairhe United States
Leyli Ghaeni Germany
Jennifer Pardieck United States
Donald L. Fletcher United States
Roberta Ramella relative to Alexander Widiapradja Australia Alexander Widiapradja's profile →
Citations per field
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Alexander Widiapradja · 1×
Citations per year

Countries citing papers authored by Roberta Ramella

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Ramella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200973
2 200749
3 201045
4 200638
5 201138
6 200837
7 201031
8 201027
9 201215
10 20118
11 20148
12 20062
13 20081

About Roberta Ramella

Roberta Ramella is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 372 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (4 papers), Neuropeptides and Animal Physiology (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Platelet Disorders and Treatments (2 papers), Receptor Mechanisms and Signaling (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Lipid metabolism and disorders (2 papers) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (83 citations), Cardiology and Cardiovascular Medicine (94 citations), Developmental Neuroscience (15 citations), Genetics (31 citations) and Physiology (72 citations). Roberta Ramella has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Giuseppe Alloatti, Maria Pia Gallo, Renzo Levi, Bruno Tota, Eleonora Bassino, Tommaso Angelone, Claudio Dati, Sushil K. Mahata, Letizia Trovato and Francesca Scarlatti. Their work appears in journals such as Cardiovascular Research, Journal of Cellular Biochemistry, Regulatory Peptides, BioMed Research International and Basic Research in Cardiology.

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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