Gabriella Testa

2.9k citations
61 papers · 2.2k · h-index 28

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 34
    • Receptor Mechanisms and Signaling 9
    • Sphingolipid Metabolism and Signaling 5
    • Peroxisome Proliferator-Activated Receptors 4

Gabriella Testa

57 papers receiving 2.2k citations

Peers

Gabriella Testa
Comparison fields: 5 of 103
  • Biological Psychiatry 88
  • Biochemistry 198
  • Aging 55
  • Surgery 921
  • Physiology 465
Replace Marina Sánchéz‐Hidalgo with:
Marina Sánchéz‐Hidalgo Spain
Amira Zarrouk Tunisia
Anne Véjux France
Emma Barroso Spain
Eun Kyeong Lee South Korea
Bo Ren China
Tsuyoshi Tsuduki Japan
Paul W. Hake United States
Takeshi Miyatsuka Japan
Chih‐Li Lin Taiwan
Gabriella Testa relative to Marina Sánchéz‐Hidalgo Spain Marina Sánchéz‐Hidalgo's profile →
Citations per field
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Marina Sánchéz‐Hidalgo · 1×
Citations per year

Countries citing papers authored by Gabriella Testa

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Testa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016221
2 2015152
3 2015135
4 2012114
5 2014111
6 2009107
7 2018106
8 201195
9 201491
10 201571
11 201961
12 201861
13 201860
14 202353
15 202153
16 201451
17 202045
18 201545
19 201744
20 201841

About Gabriella Testa

Gabriella Testa is a scholar working on Surgery, Molecular Biology, Immunology, Physiology and Cardiology and Cardiovascular Medicine, having authored 61 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (34 papers), Atherosclerosis and Cardiovascular Diseases (11 papers), Receptor Mechanisms and Signaling (9 papers), Alzheimer's disease research and treatments (8 papers), Sphingolipid Metabolism and Signaling (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Ginger and Zingiberaceae research (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Biological Psychiatry (88 citations), Biochemistry (198 citations), Aging (55 citations), Surgery (921 citations) and Physiology (465 citations). Gabriella Testa has collaborated with scholars based in Italy, Türkiye and Spain. Frequent co-authors include Giuseppe Poli, Gabriella Leonarduzzi, Paola Gamba, Simona Gargiulo, Fiorella Biasi, Barbara Sottero, Erica Staurenghi, Daniela Rossin, Elena Chiarpotto and Chiara Zerbinati. Their work appears in journals such as Free Radical Biology and Medicine, Antioxidants, Redox Biology, Biochimie and Aging Cell.

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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