Francesca Cingolani
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
- Aging 1
-
- Lipid metabolism and biosynthesis 3
- Co-authors
- Mark J. CzajaJosefina CasasGemma FabriàsAnthony H. FutermanEnpeng ZhaoJose Muñoz-OlayaPaola SignorelliVincenzo Gagliostro
- Journals
- Journal of Lipid Research (4 papers)Hepatology (3 papers)PLoS Pathogens (1 paper)Chemistry and Physics of Lipids (1 paper)Progress in Lipid Research (1 paper)
- Partner nations
- United StatesSpainIsrael
In The Last Decade
Francesca Cingolani
18 papers receiving 579 citations
Peers
Comparison fields: 5 of 80
- Biochemistry 70
- Cell Biology 117
- Molecular Biology 362
- Epidemiology 161
- Physiology 93
Countries citing papers authored by Francesca Cingolani
This map shows the geographic impact of Francesca Cingolani'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 Francesca Cingolani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Cingolani more than expected).
Fields of papers citing papers by Francesca Cingolani
This network shows the impact of papers produced by Francesca Cingolani. 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 Francesca Cingolani. The network helps show where Francesca Cingolani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesca Cingolani, 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 | 2024 | 3 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 13 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 70 | |
| 8 | 2019 | 29 | |
| 9 | 2019 | 1 | |
| 10 | 2017 | 23 | |
| 11 | 2017 | 19 | |
| 12 | 2016 | 108 | |
| 13 | 2015 | 14 | |
| 14 | 2015 | 47 | |
| 15 | 2014 | 66 | |
| 16 | 2013 | 63 | |
| 17 | 2011 | 82 | |
| 18 | Prediction of the need for insulin therapy in pregnant women with impaired gestational glucose tolerance (IGGT). | 1996 | 4 |
About Francesca Cingolani
Francesca Cingolani is a scholar working on Aging, Biochemistry, Gastroenterology, Epidemiology and Molecular Biology, having authored 18 papers that have together received 581 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (6 papers), Autophagy in Disease and Therapy (5 papers), Lipid metabolism and biosynthesis (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Fibroblast Growth Factor Research (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Biochemistry (70 citations), Cell Biology (117 citations), Molecular Biology (362 citations), Epidemiology (161 citations) and Physiology (93 citations). Francesca Cingolani has collaborated with scholars based in United States, Spain and Israel. Frequent co-authors include Mark J. Czaja, Josefina Casas, Gemma Fabriàs, Anthony H. Futerman, Enpeng Zhao, Jose Muñoz-Olaya, Paola Signorelli, Vincenzo Gagliostro, Riccardo Ghidoni and Jordi Bujons. Their work appears in journals such as Journal of Lipid Research, Hepatology, PLoS Pathogens, Chemistry and Physics of Lipids and Progress in Lipid Research.
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.