Daniela Sia
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis 19
- Liver physiology and pathology 5
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 8
- Oncology top 1%
- Pancreatic and Hepatic Oncology Research 8
- Cancer Immunotherapy and Biomarkers 5
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- Cancer Mechanisms and Therapy 5
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- Ferroptosis and cancer prognosis 8
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- Cholangiocarcinoma and Gallbladder Cancer Studies 17
- Co-authors
- Josep M. LlovetAugusto VillanuevaRobert MontalRichard S. FinnScott L. FriedmanAgrin MoeiniVictoria TovarVincenzo Mazzaferro
- Cited by
- HepatologyCancer ResearchOncology
- Partner nations
- United StatesSpainItaly
In The Last Decade
Daniela Sia
49 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Hepatology 1.9k
- Cancer Research 1.8k
- Oncology 1.7k
- Pathology and Forensic Medicine 699
- Pulmonary and Respiratory Medicine 1.3k
Countries citing papers authored by Daniela Sia
This map shows the geographic impact of Daniela Sia'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 Daniela Sia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Sia more than expected).
Fields of papers citing papers by Daniela Sia
This network shows the impact of papers produced by Daniela Sia. 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 Daniela Sia. The network helps show where Daniela Sia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Sia, 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 | 2023 | 2 | |
| 2 | Friend or foe? The elusive role of hepatic stellate cells in liver cancerbreakdown → | 2023 | 85 |
| 3 | 2022 | 4 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 53 | |
| 6 | 2021 | 107 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 40 | |
| 9 | 2020 | 99 | |
| 10 | 2019 | 62 | |
| 11 | 2019 | 63 | |
| 12 | Identification of an Immune-specific Class of Hepatocellular Carcinoma, Based on Molecular Featuresbreakdown → | 2017 | 632 |
| 13 | 2017 | 113 | |
| 14 | 2016 | 206 | |
| 15 | 2015 | 160 | |
| 16 | 2015 | 63 | |
| 17 | 2013 | 173 | |
| 18 | 2011 | 312 | |
| 19 | 2011 | 36 | |
| 20 | 2010 | 147 |
About Daniela Sia
Daniela Sia is a scholar working on Hepatology, Cancer Research, Oncology, Pathology and Forensic Medicine and Surgery, having authored 50 papers that have together received 5.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (19 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (17 papers), Ferroptosis and cancer prognosis (8 papers), Pancreatic and Hepatic Oncology Research (8 papers), Cancer Genomics and Diagnostics (8 papers), Cancer Mechanisms and Therapy (5 papers), Liver physiology and pathology (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Hepatology (1.9k citations), Cancer Research (1.8k citations), Oncology (1.7k citations), Pathology and Forensic Medicine (699 citations) and Pulmonary and Respiratory Medicine (1.3k citations). Daniela Sia has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Josep M. Llovet, Augusto Villanueva, Robert Montal, Richard S. Finn, Scott L. Friedman, Agrin Moeini, Victoria Tovar, Vincenzo Mazzaferro, Swan N. Thung and Myron Schwartz. Their work appears in journals such as Journal of Hepatology, Gastroenterology, Cancer Research, Hepatology and Oncogene.
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.