Giulia Soldà
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- RNA Research and Splicing 14
- RNA modifications and cancer 8
- RNA and protein synthesis mechanisms 7
- RNA regulation and disease 7
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- Cancer-related molecular mechanisms research 6
- Co-authors
- Rosanna Asselta (48 shared papers)Stefano Duga (39 shared papers)Valeria Rimoldi (17 shared papers)Elvezia Maria Paraboschi (11 shared papers)Giulia Cardamone (8 shared papers)Michela Robusto (9 shared papers)John S. Mattick (2 shared papers)Pierangela Castorina (8 shared papers)
- Journals
- PLoS ONE (4 papers)Frontiers in Genetics (3 papers)International Journal of Molecular Sciences (3 papers)Blood (3 papers)Human Molecular Genetics (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giulia Soldà
67 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 683
- Neurology 462
- Physiology 419
- Molecular Biology 1.1k
- Neurology 122
Countries citing papers authored by Giulia Soldà
This map shows the geographic impact of Giulia Soldà'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 Giulia Soldà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Soldà more than expected).
Fields of papers citing papers by Giulia Soldà
This network shows the impact of papers produced by Giulia Soldà. 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 Giulia Soldà. The network helps show where Giulia Soldà may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Soldà, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 325 | |
| 2 | 2009 | 203 | |
| 3 | 2010 | 186 | |
| 4 | 2020 | 115 | |
| 5 | 2011 | 97 | |
| 6 | 2017 | 93 | |
| 7 | 2011 | 91 | |
| 8 | 2021 | 85 | |
| 9 | 2017 | 69 | |
| 10 | 2017 | 66 | |
| 11 | 2014 | 60 | |
| 12 | 2021 | 58 | |
| 13 | 2022 | 57 | |
| 14 | 2020 | 55 | |
| 15 | 2018 | 55 | |
| 16 | 2015 | 47 | |
| 17 | 2011 | 44 | |
| 18 | 2015 | 37 | |
| 19 | 2014 | 36 | |
| 20 | 2014 | 35 |
About Giulia Soldà
Giulia Soldà is a scholar working on Molecular Biology, Cancer Research, Physiology, Immunology and Allergy and Genetics, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (14 papers), Lysosomal Storage Disorders Research (11 papers), RNA modifications and cancer (8 papers), RNA and protein synthesis mechanisms (7 papers), RNA regulation and disease (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Cancer-related molecular mechanisms research (6 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Cancer Research (683 citations), Neurology (462 citations), Physiology (419 citations), Molecular Biology (1.1k citations) and Neurology (122 citations). Giulia Soldà has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Rosanna Asselta, Stefano Duga, Valeria Rimoldi, Elvezia Maria Paraboschi, Giulia Cardamone, Michela Robusto, John S. Mattick, Pierangela Castorina, Ilaria Guella and Letizia Straniero. Their work appears in journals such as PLoS ONE, Frontiers in Genetics, International Journal of Molecular Sciences, Blood and Human Molecular Genetics.
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.