Davide Gnocchi

989 citations
31 papers · 705 · h-index 16

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 5
    • Metabolism, Diabetes, and Cancer 4
    • Metabolomics and Mass Spectrometry Studies 4
    • Peroxisome Proliferator-Activated Receptors 4
    • Cancer, Hypoxia, and Metabolism 11

Davide Gnocchi

30 papers receiving 695 citations

Peers

Davide Gnocchi
Comparison fields: 5 of 96
  • Endocrine and Autonomic Systems 132
  • Aging 17
  • Cancer Research 126
  • Endocrinology, Diabetes and Metabolism 112
  • Physiology 139
Replace Ting Guo with:
Ting Guo China
Yanyang Tu China
G. Bruscalupi Italy
Aleix Ribas‐Latre Spain
Patrícia Cristine Borck Brazil
Nityanand Bolshette India
Nadia Alejandra Rivero-Segura Mexico
Amanda E. Brandon Australia
Nicola Manzella Italy
Davide Gnocchi relative to Ting Guo China Ting Guo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Davide Gnocchi

Since Specialization
Citations

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

Fields of papers citing papers by Davide Gnocchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017126
2 201592
3 202275
4 202331
5 201629
6 202029
7 202128
8 200927
9 201925
10 201924
11 201920
12 201220
13 202220
14 202318
15 202115
16 202315
17 202413
18 201413
19 202310
20 202210

About Davide Gnocchi

Davide Gnocchi is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 31 papers that have together received 705 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (11 papers), Liver Disease Diagnosis and Treatment (7 papers), Sphingolipid Metabolism and Signaling (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Thyroid Disorders and Treatments (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (132 citations), Aging (17 citations), Cancer Research (126 citations), Endocrinology, Diabetes and Metabolism (112 citations) and Physiology (139 citations). Davide Gnocchi has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include G. Bruscalupi, Antonio Mazzocca, Carlo Sabbà, Paolo Parini, Eva Hurt‐Camejo, Matteo Pedrelli, Carlo Sabbà, Carlo Custodero, Gennaro Mariano Lenato and Alessandro Ciavarella. Their work appears in journals such as Plant Foods for Human Nutrition, Biochimie, Journal of Molecular Medicine, Biology and American Journal of Physiology-Cell Physiology.

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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