Daniela Tavian
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
-
- Ubiquitin and proteasome pathways 4
- Biochemistry 21
- Lipid metabolism and biosynthesis 21
- Co-authors
- Sara Missaglia (42 shared papers)Giuseppina De Petro (10 shared papers)C. Angelini (13 shared papers)Stefano Maria Giulini (5 shared papers)Nazario Portolani (5 shared papers)Laura Moro (12 shared papers)Paolo Enrico Maltese (4 shared papers)Alvaro Mordente (8 shared papers)
- Journals
- International Journal of Cancer (3 papers)Lipids in Health and Disease (2 papers)Molecular Genetics and Metabolism (2 papers)Infant Behavior and Development (2 papers)Genes & Diseases (2 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Daniela Tavian
71 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 123
- Biochemistry 349
- Clinical Biochemistry 144
- Hepatology 111
- Cancer Research 192
- Immunology and Allergy 61
Countries citing papers authored by Daniela Tavian
This map shows the geographic impact of Daniela Tavian'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 Tavian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Tavian more than expected).
Fields of papers citing papers by Daniela Tavian
This network shows the impact of papers produced by Daniela Tavian. 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 Tavian. The network helps show where Daniela Tavian may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Tavian, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 284 | |
| 2 | Expression of urokinase-type plasminogen activator (u-PA), u-PA receptor, and tissue-type PA messenger RNAs in human hepatocellular carcinoma. | 1998 | 101 |
| 3 | 2000 | 93 | |
| 4 | 2019 | 71 | |
| 5 | 2017 | 70 | |
| 6 | 2021 | 47 | |
| 7 | 1994 | 41 | |
| 8 | 2010 | 41 | |
| 9 | 2012 | 41 | |
| 10 | 2016 | 40 | |
| 11 | 2014 | 39 | |
| 12 | 2012 | 38 | |
| 13 | 2013 | 38 | |
| 14 | 2015 | 35 | |
| 15 | 2011 | 33 | |
| 16 | 2015 | 30 | |
| 17 | 2018 | 30 | |
| 18 | 2009 | 30 | |
| 19 | 2017 | 29 | |
| 20 | 2007 | 28 |
About Daniela Tavian
Daniela Tavian is a scholar working on Molecular Biology, Biochemistry, Physiology, Oncology and Cell Biology, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (21 papers), Adipose Tissue and Metabolism (13 papers), Metabolism and Genetic Disorders (6 papers), Pancreatic function and diabetes (5 papers), Exercise and Physiological Responses (5 papers), Protease and Inhibitor Mechanisms (5 papers), Cell Adhesion Molecules Research (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Biochemistry (349 citations), Clinical Biochemistry (144 citations), Hepatology (111 citations), Cancer Research (192 citations) and Immunology and Allergy (61 citations). Daniela Tavian has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Sara Missaglia, Giuseppina De Petro, C. Angelini, Stefano Maria Giulini, Nazario Portolani, Laura Moro, Paolo Enrico Maltese, Alvaro Mordente, Sergio Barlati and Matteo Bertelli. Their work appears in journals such as International Journal of Cancer, Lipids in Health and Disease, Molecular Genetics and Metabolism, Infant Behavior and Development and Genes & Diseases.
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.