Francesca Mulas
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Pluripotent Stem Cells Research 6
- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 4
- Single-cell and spatial transcriptomics 3
- Biomedical Text Mining and Ontologies 3
- Surgery 7
- Pancreatic function and diabetes 4
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Riccardo Bellazzi (16 shared papers)Maike Sander (4 shared papers)Andrea C. Carrano (3 shared papers)Chun Zeng (3 shared papers)Stefano Monti (3 shared papers)David H. Sherr (3 shared papers)Silvia Garagna (8 shared papers)Zhongyan Wang (2 shared papers)
- Journals
- The International Journal of Developmental Biology (3 papers)Methods of Information in Medicine (2 papers)BMC Genomics (2 papers)iScience (1 paper)Cell Metabolism (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Francesca Mulas
29 papers receiving 582 citations
Peers
Comparison fields: 5 of 99
- Biological Psychiatry 18
- Hardware and Architecture 36
- Genetics 127
- Molecular Biology 307
- Reproductive Medicine 37
Countries citing papers authored by Francesca Mulas
This map shows the geographic impact of Francesca Mulas'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 Mulas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Mulas more than expected).
Fields of papers citing papers by Francesca Mulas
This network shows the impact of papers produced by Francesca Mulas. 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 Mulas. The network helps show where Francesca Mulas may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Mulas, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 106 | |
| 2 | 2016 | 82 | |
| 3 | 2018 | 53 | |
| 4 | 2011 | 37 | |
| 5 | 2017 | 37 | |
| 6 | 2008 | 37 | |
| 7 | 2018 | 35 | |
| 8 | 2013 | 33 | |
| 9 | 2013 | 27 | |
| 10 | 2013 | 18 | |
| 11 | 2012 | 17 | |
| 12 | 2019 | 15 | |
| 13 | 2011 | 15 | |
| 14 | 2010 | 15 | |
| 15 | 2015 | 12 | |
| 16 | 2012 | 9 | |
| 17 | 2021 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2012 | 6 | |
| 20 | 2017 | 6 |
About Francesca Mulas
Francesca Mulas is a scholar working on Molecular Biology, Surgery, Genetics, Cancer Research and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 588 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Bioinformatics and Genomic Networks (5 papers), Pancreatic function and diabetes (4 papers), Reproductive Biology and Fertility (4 papers), Gene expression and cancer classification (4 papers), Single-cell and spatial transcriptomics (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Biological Psychiatry (18 citations), Hardware and Architecture (36 citations), Genetics (127 citations), Molecular Biology (307 citations) and Reproductive Medicine (37 citations). Francesca Mulas has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Riccardo Bellazzi, Maike Sander, Andrea C. Carrano, Chun Zeng, Stefano Monti, David H. Sherr, Silvia Garagna, Zhongyan Wang, Olga Novikov and Yinghui Sui. Their work appears in journals such as The International Journal of Developmental Biology, Methods of Information in Medicine, BMC Genomics, iScience and Cell Metabolism.
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.