Barbara Becattini
Impact in
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- Mitochondrial Function and Pathology
- Melanoma and MAPK Pathways
- Metabolism, Diabetes, and Cancer
- Endocrine and Autonomic Systems top 10%
Papers in
-
- Metabolism, Diabetes, and Cancer 6
- Cell death mechanisms and regulation 5
- PI3K/AKT/mTOR signaling in cancer 3
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- Radical Photochemical Reactions 5
- Organoboron and organosilicon chemistry 4
- Co-authors
- Giovanni Solinas (17 shared papers)Maurizio Pellecchia (9 shared papers)Carsten Culmsee (3 shared papers)Nikolaus Plesnila (3 shared papers)Stefan Landshamer (3 shared papers)Ernst Wagner (2 shared papers)Changlian Zhu (1 shared paper)Klas Blomgren (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)The FASEB Journal (3 papers)Cell Reports (2 papers)Molecular Metabolism (2 papers)Scientific Reports (1 paper)
- Partner nations
- SwedenUnited StatesSwitzerland
In The Last Decade
Barbara Becattini
32 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.1k
- Endocrine and Autonomic Systems 87
- Biological Psychiatry 23
- Geriatrics and Gerontology 31
- Neurology 75
Countries citing papers authored by Barbara Becattini
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
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-authors
The 25 scholars most cited alongside Barbara Becattini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 328 | |
| 2 | 2005 | 284 | |
| 3 | 2008 | 158 | |
| 4 | 2008 | 126 | |
| 5 | 2004 | 124 | |
| 6 | 2005 | 108 | |
| 7 | 2021 | 89 | |
| 8 | 2007 | 85 | |
| 9 | 2019 | 73 | |
| 10 | 2004 | 72 | |
| 11 | 2006 | 67 | |
| 12 | 2013 | 67 | |
| 13 | 2004 | 61 | |
| 14 | 2005 | 53 | |
| 15 | 2011 | 50 | |
| 16 | 2020 | 36 | |
| 17 | 2017 | 26 | |
| 18 | 2005 | 26 | |
| 19 | 2005 | 24 | |
| 20 | 2024 | 18 |
About Barbara Becattini
Barbara Becattini is a scholar working on Molecular Biology, Organic Chemistry, Epidemiology, Surgery and Physiology, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Cell death mechanisms and regulation (5 papers), Radical Photochemical Reactions (5 papers), Pancreatic function and diabetes (5 papers), Organoboron and organosilicon chemistry (4 papers), Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Endocrine and Autonomic Systems (87 citations), Biological Psychiatry (23 citations), Geriatrics and Gerontology (31 citations) and Neurology (75 citations). Barbara Becattini has collaborated with scholars based in Sweden, United States and Switzerland. Frequent co-authors include Giovanni Solinas, Maurizio Pellecchia, Carsten Culmsee, Nikolaus Plesnila, Stefan Landshamer, Ernst Wagner, Changlian Zhu, Klas Blomgren, Dayong Zhai and Marilisa Leone. Their work appears in journals such as Proceedings of the National Academy of Sciences, The FASEB Journal, Cell Reports, Molecular Metabolism and Scientific Reports.
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.