Gabriella Simbula

1.8k citations
28 papers · 1.5k indexed · h-index 19

Gabriella Simbula

27 papers receiving 1.5k citations

Peers

Gabriella Simbula
Comparison fields: 5 of 102
  • Neurology 202
  • Hepatology 157
  • Biochemistry 114
  • Cellular and Molecular Neuroscience 212
  • Endocrinology, Diabetes and Metabolism 182
Replace Catherine Legraverend with:
Catherine Legraverend France
Helga Reicher Austria
Eui‐Ju Yeo South Korea
Agnieszka Karkucińska‐Więckowska Poland
María Isabel Hernández‐Álvarez Spain
Tuo Shao United States
Elsa Rodrigues Portugal
Claudio Caccia Italy
Kesheng Zhao United States
Jong Min Choi South Korea
Gabriella Simbula relative to Catherine Legraverend France Catherine Legraverend's profile →
Citations per field
00.5×4.2×
Catherine Legraverend · 1×
Citations per year

Countries citing papers authored by Gabriella Simbula

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202314
3 202227
4 202020
5 201713
6 201722
7 201678
8 2014225
9 201323
10 201111
11 201023
12 200714
13 2006131
14 20048
15 200125
16
Two mechanisms by which ATP depletion potentiates induction of the mitochondrial permeability transition in cultured hepatocytes
19976
17 1996236
18 199324
19 19937
20 199351

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), Organ Transplantation Techniques and Outcomes (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Metabolism and Genetic Disorders (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Peroxisome Proliferator-Activated Receptors (3 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.

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