Marcella Sini
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Cancer Research top 10%
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- Ubiquitin and proteasome pathways 2
-
- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- Diego F. Calvisi (7 shared papers)Ezio Laconi (9 shared papers)Maria Paola Serra (9 shared papers)Fabio Marongiu (9 shared papers)Rosa M. Pascale (4 shared papers)Maria A. Seddaiu (4 shared papers)Maria R. Muroni (4 shared papers)Francesco Feo (4 shared papers)
- Journals
- Hepatology (4 papers)International Journal of Cancer (2 papers)Oncotarget (2 papers)Aging (2 papers)Cancer Research (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Marcella Sini
21 papers receiving 829 citations
Peers
Comparison fields: 5 of 73
- Hepatology 105
- Cancer Research 144
- Molecular Biology 480
- Genetics 68
- Aging 12
Countries citing papers authored by Marcella Sini
This map shows the geographic impact of Marcella Sini'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 Marcella Sini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcella Sini more than expected).
Fields of papers citing papers by Marcella Sini
This network shows the impact of papers produced by Marcella Sini. 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 Marcella Sini. The network helps show where Marcella Sini may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcella Sini, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 119 | |
| 2 | 2008 | 113 | |
| 3 | 2011 | 104 | |
| 4 | 2009 | 103 | |
| 5 | 2014 | 63 | |
| 6 | 2015 | 55 | |
| 7 | 2018 | 43 | |
| 8 | 2008 | 37 | |
| 9 | 1984 | 28 | |
| 10 | 2014 | 25 | |
| 11 | 2016 | 25 | |
| 12 | 2009 | 23 | |
| 13 | 2012 | 23 | |
| 14 | 2014 | 18 | |
| 15 | 2015 | 17 | |
| 16 | 2014 | 14 | |
| 17 | 2012 | 12 | |
| 18 | 2014 | 11 | |
| 19 | 2011 | 3 | |
| 20 | 2018 | 1 |
About Marcella Sini
Marcella Sini is a scholar working on Molecular Biology, Cell Biology, Hepatology, Oncology and Physiology, having authored 21 papers that have together received 838 indexed citations. Recurring topics across this work include Liver physiology and pathology (5 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Telomeres, Telomerase, and Senescence (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Cells and Metastasis (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Hepatology (105 citations), Cancer Research (144 citations), Molecular Biology (480 citations), Genetics (68 citations) and Aging (12 citations). Marcella Sini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Diego F. Calvisi, Ezio Laconi, Maria Paola Serra, Fabio Marongiu, Rosa M. Pascale, Maria A. Seddaiu, Maria R. Muroni, Francesco Feo, Federico Pinna and Maria M. Simile. Their work appears in journals such as Hepatology, International Journal of Cancer, Oncotarget, Aging and Cancer 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.