Natalia Scaglia
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism 10
- Cancer, Hypoxia, and Metabolism 7
- Biochemistry top 5%
- Lipid metabolism and biosynthesis 4
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- Peroxisome Proliferator-Activated Receptors 4
- Metabolism, Diabetes, and Cancer 3
- RNA modifications and cancer 1
- Metabolomics and Mass Spectrometry Studies 1
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- Bone health and treatments 1
- Co-authors
- R. Ariel IgalJeffrey W. ChisholmGiorgia ZadraCornelia PhotopoulosMassimo LodaSvitlana TyekuchevaCarmen PrioloBetina Córsico
- Journals
- Cell Cycle (2 papers)Life Sciences (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2 papers)
- Partner nations
- ArgentinaUnited StatesItaly
In The Last Decade
Natalia Scaglia
15 papers receiving 889 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 507
- Biochemistry 162
- Molecular Biology 596
- Nutrition and Dietetics 72
- Pulmonary and Respiratory Medicine 102
Countries citing papers authored by Natalia Scaglia
This map shows the geographic impact of Natalia Scaglia'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 Natalia Scaglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Scaglia more than expected).
Fields of papers citing papers by Natalia Scaglia
This network shows the impact of papers produced by Natalia Scaglia. 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 Natalia Scaglia. The network helps show where Natalia Scaglia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalia Scaglia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 23 | |
| 2 | 2021 | 34 | |
| 3 | 2019 | 11 | |
| 4 | 2017 | 25 | |
| 5 | 2017 | 41 | |
| 6 | 2014 | 112 | |
| 7 | 2014 | 71 | |
| 8 | 2014 | 6 | |
| 9 | 2014 | 165 | |
| 10 | 2013 | 4 | |
| 11 | 2009 | 161 | |
| 12 | 2008 | 36 | |
| 13 | 2005 | 137 | |
| 14 | Papel de la Estearoil-CoA Desaturasa en el fenotipo celular neoplásico | 2005 | 1 |
| 15 | 2004 | 77 |
About Natalia Scaglia
Natalia Scaglia is a scholar working on Cancer Research, Biochemistry and Applied Microbiology and Biotechnology, having authored 15 papers that have together received 904 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (10 papers), Cancer, Hypoxia, and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Lipid metabolism and biosynthesis (4 papers), Metabolism, Diabetes, and Cancer (3 papers), RNA modifications and cancer (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Cancer Research (507 citations), Biochemistry (162 citations) and Molecular Biology (596 citations). Natalia Scaglia has collaborated with scholars based in Argentina, United States and Italy. Frequent co-authors include R. Ariel Igal, Jeffrey W. Chisholm, Giorgia Zadra, Cornelia Photopoulos, Massimo Loda, Svitlana Tyekucheva, Carmen Priolo, Betina Córsico, Neal C. Birnberg and Sabina Signoretti. Their work appears in journals such as Cell Cycle, Life Sciences, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, EMBO Molecular Medicine and Frontiers in Oncology.
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.