Pia Sulas
Impact in
-
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
-
- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Diet, Metabolism, and Disease
Papers in
-
- Genomics, phytochemicals, and oxidative stress 3
-
- Liver physiology and pathology 4
- Co-authors
- Andrea Perra (11 shared papers)Amedeo Columbano (11 shared papers)Marta Anna Kowalik (8 shared papers)Giovanna M. Ledda‐Columbano (5 shared papers)Monica Pibiri (4 shared papers)Gabriella Simbula (3 shared papers)Silvia Giordano (6 shared papers)Maria Teresa Cocco (1 shared paper)
- Journals
- Oncotarget (3 papers)American Journal Of Pathology (2 papers)Hepatology (2 papers)Scientific Reports (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ItalyUnited StatesMalta
In The Last Decade
Pia Sulas
15 papers receiving 455 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 132
- Endocrinology, Diabetes and Metabolism 119
- Hepatology 54
- Biochemistry 34
- Molecular Biology 242
Countries citing papers authored by Pia Sulas
This map shows the geographic impact of Pia Sulas'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 Pia Sulas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pia Sulas more than expected).
Fields of papers citing papers by Pia Sulas
This network shows the impact of papers produced by Pia Sulas. 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 Pia Sulas. The network helps show where Pia Sulas may publish in the future.
Co-authors
The 25 scholars most cited alongside Pia Sulas, 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 | 2008 | 123 | |
| 2 | 2013 | 100 | |
| 3 | 2020 | 49 | |
| 4 | 2014 | 42 | |
| 5 | 2015 | 24 | |
| 6 | 2015 | 23 | |
| 7 | 2020 | 20 | |
| 8 | 2005 | 20 | |
| 9 | 2018 | 15 | |
| 10 | 2007 | 14 | |
| 11 | 2017 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2021 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2022 | 1 |
About Pia Sulas
Pia Sulas is a scholar working on Molecular Biology, Hepatology, Cancer Research, Epidemiology and Cell Biology, having authored 15 papers that have together received 464 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Liver physiology and pathology (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Cancer-related molecular mechanisms research (3 papers), Glioma Diagnosis and Treatment (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Cancer Research (132 citations), Endocrinology, Diabetes and Metabolism (119 citations), Hepatology (54 citations), Biochemistry (34 citations) and Molecular Biology (242 citations). Pia Sulas has collaborated with scholars based in Italy, United States and Malta. Frequent co-authors include Andrea Perra, Amedeo Columbano, Marta Anna Kowalik, Giovanna M. Ledda‐Columbano, Monica Pibiri, Gabriella Simbula, Silvia Giordano, Maria Teresa Cocco, Annalisa Petrelli and Silvia Menegon. Their work appears in journals such as Oncotarget, American Journal Of Pathology, Hepatology, Scientific Reports 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.