Gabriella Simbula
- Molecular Biology top 10%
- Epidemiology
- Cellular and Molecular Neuroscience top 10%
- Neurology top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Monica PibiriAmedeo ColumbanoJohn G. PastorinoPeter A. GlascottGiovanna M. Ledda‐ColumbanoDaniela LeccaSaturnino SpigaAnna R. Carta
- Topics
- Liver physiology and pathology (8 papers)Mitochondrial Function and Pathology (5 papers)Organ Transplantation Techniques and Outcomes (5 papers)
- Cited by
- NeurologyHepatologyBiochemistry
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Gabriella Simbula
27 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 705
- Epidemiology 227
- Cellular and Molecular Neuroscience 212
- Neurology 202
- Endocrinology, Diabetes and Metabolism 182
Countries citing papers authored by Gabriella Simbula
This map shows the geographic impact of Gabriella Simbula'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 Simbula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella Simbula more than expected).
Fields of papers citing papers by Gabriella Simbula
This network shows the impact of papers produced by Gabriella Simbula. 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 Simbula. The network helps show where Gabriella Simbula may publish in the future.
Co-authorship network of co-authors of Gabriella Simbula
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Simbula. A scholar is included among the top collaborators of Gabriella Simbula based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriella Simbula. Gabriella Simbula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 27 | |
| 4 | 20 | |
| 5 | 13 | |
| 6 | 22 | |
| 7 | 78 | |
| 8 | 225 | |
| 9 | 23 | |
| 10 | 11 | |
| 11 | 23 | |
| 12 | 14 | |
| 13 | 131 | |
| 14 | 8 | |
| 15 | 25 | |
| 16 | Two mechanisms by which ATP depletion potentiates induction of the mitochondrial permeability transition in cultured hepatocytes | 6 |
| 17 | 236 | |
| 18 | 24 | |
| 19 | 7 | |
| 20 | 51 |
About Gabriella Simbula
Gabriella Simbula is a scholar working on Hepatology, Toxicology and Biochemistry, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (8 papers), Mitochondrial Function and Pathology (5 papers) and Organ Transplantation Techniques and Outcomes (5 papers). The work is most often cited by research in Neurology (202 citations), Hepatology (157 citations) and Biochemistry (114 citations). Gabriella Simbula has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Monica Pibiri, Amedeo Columbano, John G. Pastorino, Peter A. Glascott, Giovanna M. Ledda‐Columbano, Daniela Lecca, Saturnino Spiga, Anna R. Carta, Giovanna Mulas and Ronald J. Rothman. Their work appears in journals such as Journal of Biological Chemistry, Hepatology 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.