Giovanni Solinas

4.9k total citations · 1 hit paper
45 papers, 3.9k citations indexed

About

Giovanni Solinas is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Giovanni Solinas has authored 45 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 19 papers in Molecular Biology and 12 papers in Epidemiology. Recurrent topics in Giovanni Solinas's work include Adipose Tissue and Metabolism (22 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Metabolism, Diabetes, and Cancer (10 papers). Giovanni Solinas is often cited by papers focused on Adipose Tissue and Metabolism (22 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Metabolism, Diabetes, and Cancer (10 papers). Giovanni Solinas collaborates with scholars based in Switzerland, Sweden and United States. Giovanni Solinas's co-authors include Michael Karin, Barbara Becattini, Abdul G. Dulloo, Lufen Chang, Willscott E. Naugler, K. Venuprasad, Hideaki Kamata, Shin Maeda, Yun‐Cai Liu and Josiane Seydoux and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Cell Metabolism.

In The Last Decade

Giovanni Solinas

44 papers receiving 3.9k citations

Hit Papers

The E3 Ubiquitin Ligase Itch Couples JNK Activation to TN... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Giovanni Solinas
Ji Li United States
Nimesh Mody United Kingdom
Isao Usui Japan
Li Qiang United States
Adı́lson Guilherme United States
Qiang Tong United States
Giovanni Solinas
Citations per year, relative to Giovanni Solinas Giovanni Solinas (= 1×) peers Meilian Liu

Countries citing papers authored by Giovanni Solinas

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Solinas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Solinas

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Solinas. A scholar is included among the top collaborators of Giovanni Solinas 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 Giovanni Solinas. Giovanni Solinas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Becattini, Barbara, et al.. (2024). Adipocyte PI3K links adipostasis with baseline insulin secretion at fasting through an adipoincretin effect. Cell Reports. 43(5). 114132–114132. 4 indexed citations
2.
Solinas, Giovanni & Barbara Becattini. (2024). An adipoincretin effect links adipostasis with insulin secretion. Trends in Endocrinology and Metabolism. 35(6). 466–477. 3 indexed citations
3.
Solinas, Giovanni & Barbara Becattini. (2022). PI3K and AKT at the Interface of Signaling and Metabolism. Current topics in microbiology and immunology. 436. 311–336. 17 indexed citations
4.
Becattini, Barbara, et al.. (2021). PI3Kγ promotes obesity-associated hepatocellular carcinoma by regulating metabolism and inflammation. JHEP Reports. 3(6). 100359–100359. 9 indexed citations
5.
Caddeo, Andrea, Oveis Jamialahmadi, Giovanni Solinas, et al.. (2019). MBOAT7 is anchored to endomembranes by six transmembrane domains. Journal of Structural Biology. 206(3). 349–360. 45 indexed citations
6.
Becattini, Barbara, Arianna Mazzoli, Augusto Bleve, et al.. (2019). Insulin-Driven PI3K-AKT Signaling in the Hepatocyte Is Mediated by Redundant PI3Kα and PI3Kβ Activities and Is Promoted by RAS. Cell Metabolism. 29(6). 1400–1409.e5. 70 indexed citations
7.
Bousquenaud, Mélanie, et al.. (2018). Obesity promotes the expansion of metastasis-initiating cells in breast cancer. Breast Cancer Research. 20(1). 104–104. 72 indexed citations
8.
Becattini, Barbara, Claudia Sardi, Fabio Zani, et al.. (2017). PI3Kγ activity in leukocytes promotes adipose tissue inflammation and early-onset insulin resistance during obesity. Science Signaling. 10(488). 26 indexed citations
9.
Solinas, Giovanni, Jan Borén, & Abdul G. Dulloo. (2015). De novo lipogenesis in metabolic homeostasis: More friend than foe?. Molecular Metabolism. 4(5). 367–377. 146 indexed citations
10.
Zani, Fabio, Barbara Becattini, Ana Vukolic, et al.. (2013). PER2 promotes glucose storage to liver glycogen during feeding and acute fasting by inducing Gys2 PTG and GL expression. Molecular Metabolism. 2(3). 292–305. 66 indexed citations
11.
Holzer, Ryan G., Ning Li, Helen Tran, et al.. (2011). Saturated Fatty Acids Induce c-Src Clustering within Membrane Subdomains, Leading to JNK Activation. Cell. 147(1). 173–184. 218 indexed citations
12.
Cheon, Hwanju, Jae Min Cho, Sunshin Kim, et al.. (2010). Role of JNK activation in pancreatic β-cell death by streptozotocin. Molecular and Cellular Endocrinology. 321(2). 131–137. 23 indexed citations
13.
Dulloo, Abdul G., Jean Jacquet, Giovanni Solinas, J-P Montani, & Y. Schütz. (2010). Body composition phenotypes in pathways to obesity and the metabolic syndrome. International Journal of Obesity. 34(S2). S4–S17. 201 indexed citations
14.
Summermatter, Serge, Denis Arsenijevic, Antony Buchala, et al.. (2009). Adipose Tissue Plasticity During Catch-Up Fat Driven by Thrifty Metabolism. Diabetes. 58(10). 2228–2237. 39 indexed citations
15.
Stebbins, John L., Surya K. De, Thomas Machleidt, et al.. (2008). Identification of a new JNK inhibitor targeting the JNK-JIP interaction site. Proceedings of the National Academy of Sciences. 105(43). 16809–16813. 157 indexed citations
16.
Solinas, Giovanni, Jaap G. Neels, Gautam Bandyopadhyay, et al.. (2007). JNK1 in Hematopoietically Derived Cells Contributes to Diet-Induced Inflammation and Insulin Resistance without Affecting Obesity. Cell Metabolism. 6(5). 386–397. 417 indexed citations
17.
Chang, Lufen, Hideaki Kamata, Giovanni Solinas, et al.. (2006). The E3 Ubiquitin Ligase Itch Couples JNK Activation to TNFα-induced Cell Death by Inducing c-FLIPL Turnover. Cell. 124(3). 601–613. 582 indexed citations breakdown →
18.
Solinas, Giovanni, Serge Summermatter, Davide Mainieri, et al.. (2004). The direct effect of leptin on skeletal muscle thermogenesis is mediated by substrate cycling between de novo lipogenesis and lipid oxidation. FEBS Letters. 577(3). 539–544. 87 indexed citations
19.
Crescenzo, Raffaella, Davide Mainieri, Giovanni Solinas, et al.. (2003). Skeletal muscle mitochondrial oxidative capacity and uncoupling protein 3 are differently influenced by semistarvation and refeeding. FEBS Letters. 544(1-3). 138–142. 17 indexed citations
20.
Iossa, Susanna, Maria Pina Mollica, Lillà Lionetti, et al.. (2002). Skeletal muscle mitochondrial efficiency and uncoupling protein 3 in overeating rats with increased thermogenesis. Pflügers Archiv - European Journal of Physiology. 445(3). 431–436. 17 indexed citations

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