Gabriele V. Gnoni

2.9k citations
79 papers · 2.4k indexed · h-index 30

Gabriele V. Gnoni

79 papers receiving 2.4k citations

Peers

Gabriele V. Gnoni
Comparison fields: 5 of 115
  • Clinical Biochemistry 326
  • Biochemistry 307
  • Endocrinology, Diabetes and Metabolism 450
  • Biochemistry 131
  • Nutrition and Dietetics 288
Replace Isabelle Niot with:
Isabelle Niot France
Jae Heun Lee South Korea
Marie‐Anne Robin France
Diego Haro Spain
Yongke Lu United States
Geoffrey F. Gibbons United Kingdom
Nobuko Iritani Japan
Mohamed A. Abdelmegeed United States
Takashi Ide Japan
L. Karl Olson United States
Gabriele V. Gnoni relative to Isabelle Niot France Isabelle Niot's profile →
Citations per field
00.5×1.5×1.9×
Isabelle Niot · 1×
Citations per year

Countries citing papers authored by Gabriele V. Gnoni

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele V. Gnoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriele V. Gnoni. 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 Gabriele V. Gnoni. The network helps show where Gabriele V. Gnoni may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202079
2 201730
3 201638
4 201425
5 201459
6 201224
7 201224
8 201122
9 20119
10 201147
11 201022
12 200994
13 200931
14 200879
15 20071
16 200628
17 200416
18 200211
19 200132
20 199538

About Gabriele V. Gnoni

Gabriele V. Gnoni is a scholar working on Clinical Biochemistry, Biochemistry and Nutrition and Dietetics, having authored 79 papers that have together received 2.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (23 papers), Mitochondrial Function and Pathology (22 papers), Metabolism and Genetic Disorders (21 papers), Cholesterol and Lipid Metabolism (14 papers), Lipid metabolism and biosynthesis (14 papers), Adipose Tissue and Metabolism (13 papers), Fatty Acid Research and Health (12 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). The work is most often cited by research in Clinical Biochemistry (326 citations), Biochemistry (307 citations) and Endocrinology, Diabetes and Metabolism (450 citations). Gabriele V. Gnoni has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Luisa Siculella, Fabrizio Damiano, Anna Maria Giudetti, Ernesto Quagliariello, C Landriscina, Paola Priore, Antonio Gnoni, Math J.H. Geelen, Vincenzo Zara and Francesca Ruggiero. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, IUBMB Life, Biochemical and Biophysical Research Communications, The International Journal of Biochemistry & Cell Biology and European Journal of Biochemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026