Barbara Becattini

2.5k total citations
32 papers, 1.9k citations indexed

About

Barbara Becattini is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Barbara Becattini has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Organic Chemistry and 6 papers in Epidemiology. Recurrent topics in Barbara Becattini's work include Metabolism, Diabetes, and Cancer (7 papers), Radical Photochemical Reactions (5 papers) and Adipose Tissue and Metabolism (5 papers). Barbara Becattini is often cited by papers focused on Metabolism, Diabetes, and Cancer (7 papers), Radical Photochemical Reactions (5 papers) and Adipose Tissue and Metabolism (5 papers). Barbara Becattini collaborates with scholars based in Sweden, United States and Switzerland. Barbara Becattini's co-authors include Giovanni Solinas, Maurizio Pellecchia, Nikolaus Plesnila, Carsten Culmsee, Stefan Landshamer, Ernst Wagner, Changlian Zhu, Klas Blomgren, Dayong Zhai and John C. Reed and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Barbara Becattini

32 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Barbara Becattini Sweden 19 1.2k 263 260 207 201 32 1.9k
Nir Qvit United States 17 1.4k 1.2× 199 0.8× 242 0.9× 154 0.7× 119 0.6× 45 1.8k
Yuanjun He United States 18 1.2k 1.0× 114 0.4× 301 1.2× 269 1.3× 203 1.0× 34 1.8k
Thomas M. Vondriska United States 23 1.8k 1.6× 148 0.6× 228 0.9× 99 0.5× 195 1.0× 66 2.5k
Zhulun Wang United States 17 1.2k 1.0× 110 0.4× 397 1.5× 216 1.0× 183 0.9× 27 2.0k
David Marciano United States 19 1.3k 1.1× 168 0.6× 320 1.2× 70 0.3× 118 0.6× 26 1.9k
Paula M. Loria United States 21 1.9k 1.6× 210 0.8× 236 0.9× 374 1.8× 437 2.2× 35 3.5k
Julien Hanson Belgium 27 1.0k 0.9× 161 0.6× 410 1.6× 146 0.7× 270 1.3× 63 2.3k
Andrea Galmozzi United States 19 1.0k 0.9× 216 0.8× 374 1.4× 481 2.3× 160 0.8× 31 1.8k
Mauro Salvi Italy 31 2.3k 2.0× 190 0.7× 257 1.0× 120 0.6× 392 2.0× 94 3.1k
Phanithi Prakash Babu India 20 1.1k 0.9× 207 0.8× 117 0.5× 168 0.8× 305 1.5× 73 2.0k

Countries citing papers authored by Barbara Becattini

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Becattini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Becattini

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Becattini. A scholar is included among the top collaborators of Barbara Becattini 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 Barbara Becattini. Barbara Becattini 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.
Engström, Linda, Lara Kern, Louise Mannerås-Holm, et al.. (2024). Activation of GFRAL+ neurons induces hypothermia and glucoregulatory responses associated with nausea and torpor. Cell Reports. 43(4). 113960–113960. 13 indexed citations
4.
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
5.
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
6.
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Becattini, Barbara, et al.. (2020). Insulin signaling and glucose metabolism in different hepatoma cell lines deviate from hepatocyte physiology toward a convergent aberrant phenotype. Scientific Reports. 10(1). 12031–12031. 35 indexed citations
9.
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
10.
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
11.
Solinas, Giovanni & Barbara Becattini. (2016). JNK at the crossroad of obesity, insulin resistance, and cell stress response. Molecular Metabolism. 6(2). 174–184. 321 indexed citations
12.
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
13.
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
14.
Landshamer, Stefan, Nicole D. Barth, Stéphane Duvezin‐Caubet, et al.. (2008). Bid-induced release of AIF from mitochondria causes immediate neuronal cell death. Cell Death and Differentiation. 15(10). 1553–1563. 125 indexed citations
15.
Becattini, Barbara, Carsten Culmsee, Marilisa Leone, et al.. (2006). Structure–activity relationships by interligand NOE-based design and synthesis of antiapoptotic compounds targeting Bid. Proceedings of the National Academy of Sciences. 103(33). 12602–12606. 67 indexed citations
16.
Bruckner, Shane, Lutz Tautz, Jean‐Bernard Denault, et al.. (2005). Yersinia Phosphatase Induces Mitochondrially Dependent Apoptosis of T Cells. Journal of Biological Chemistry. 280(11). 10388–10394. 26 indexed citations
17.
Becattini, Barbara & Maurizio Pellecchia. (2005). SAR by ILOEs: An NMR‐Based Approach to Reverse Chemical Genetics. Chemistry - A European Journal. 12(10). 2658–2662. 53 indexed citations
18.
Culmsee, Carsten, Changlian Zhu, Stefan Landshamer, et al.. (2005). Apoptosis-Inducing Factor Triggered by Poly(ADP-Ribose) Polymerase and Bid Mediates Neuronal Cell Death after Oxygen-Glucose Deprivation and Focal Cerebral Ischemia. Journal of Neuroscience. 25(44). 10262–10272. 284 indexed citations
19.
Becattini, Barbara, Sina Sareth, Dayong Zhai, et al.. (2004). Targeting Apoptosis via Chemical Design. Chemistry & Biology. 11(8). 1107–1117. 71 indexed citations
20.
Renaud, Philippe, Barbara Becattini, & Cyril Ollivier. (2003). Organoboranes Mediated RadicalCyclizations. Synlett. 1485–1487. 2 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.

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