Olivia Candini
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Co-authors
- Massimo Dominici (20 shared papers)Giulia Grisendi (15 shared papers)Elena Veronesi (11 shared papers)Edwin M. Horwitz (7 shared papers)Elisabetta Manuela Foppiani (5 shared papers)Alba Murgia (7 shared papers)Ilenia Mastrolia (6 shared papers)Carlotta Spano (8 shared papers)
- Journals
- Stem Cell Research & Therapy (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Clinical Cancer Research (1 paper)BMC Veterinary Research (1 paper)BMC Medicine (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Olivia Candini
27 papers receiving 1.2k citations
Olivia Candini's Hit Papers
Peers
Comparison fields: 5 of 132
- Genetics 423
- Cancer Research 171
- Oncology 255
- Hematology 88
- Molecular Biology 488
Countries citing papers authored by Olivia Candini
This map shows the geographic impact of Olivia Candini'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 Olivia Candini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivia Candini more than expected).
Fields of papers citing papers by Olivia Candini
This network shows the impact of papers produced by Olivia Candini. 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 Olivia Candini. The network helps show where Olivia Candini may publish in the future.
Co-authors
The 25 scholars most cited alongside Olivia Candini, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Challenges in Clinical Development of Mesenchymal Stromal/Stem Cells: Concise Review Hit paper breakdown → | 2019 | 245 |
| 2 | 2003 | 180 | |
| 3 | 2019 | 162 | |
| 4 | 2015 | 112 | |
| 5 | 2021 | 63 | |
| 6 | 2014 | 58 | |
| 7 | 2012 | 55 | |
| 8 | 2013 | 52 | |
| 9 | 2019 | 44 | |
| 10 | 2008 | 40 | |
| 11 | 2009 | 39 | |
| 12 | 2021 | 33 | |
| 13 | 2005 | 30 | |
| 14 | 2016 | 23 | |
| 15 | 2019 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2020 | 15 | |
| 18 | 2016 | 12 | |
| 19 | 2021 | 9 | |
| 20 | 2021 | 8 |
About Olivia Candini
Olivia Candini is a scholar working on Genetics, Oncology, Molecular Biology, Surgery and Hematology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (12 papers), Cancer Cells and Metastasis (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), 3D Printing in Biomedical Research (3 papers), Cancer-related Molecular Pathways (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Genetics (423 citations), Cancer Research (171 citations), Oncology (255 citations), Hematology (88 citations) and Molecular Biology (488 citations). Olivia Candini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Massimo Dominici, Giulia Grisendi, Elena Veronesi, Edwin M. Horwitz, Elisabetta Manuela Foppiani, Alba Murgia, Ilenia Mastrolia, Carlotta Spano, Anna Valeria Samarelli and PierFranco Conte. Their work appears in journals such as Stem Cell Research & Therapy, Frontiers in Cell and Developmental Biology, Clinical Cancer Research, BMC Veterinary Research and BMC Medicine.
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.