Laura Mosca
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Periodontics top 10%
Papers in
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- RNA modifications and cancer 8
- Epigenetics and DNA Methylation 5
- Receptor Mechanisms and Signaling 2
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Co-authors
- Marina Porcelli (19 shared papers)Giovanna Cacciapuoti (16 shared papers)Michele Caraglia (11 shared papers)Martina Pagano (11 shared papers)Luigi Mele (9 shared papers)Concetta Paola Ilisso (8 shared papers)Donatella Delle Cave (5 shared papers)Vincenzo Desiderio (4 shared papers)
In The Last Decade
Laura Mosca
31 papers receiving 530 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 182
- Periodontics 27
- Molecular Biology 268
- Rheumatology 53
- Oncology 68
Countries citing papers authored by Laura Mosca
This map shows the geographic impact of Laura Mosca'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 Laura Mosca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Mosca more than expected).
Fields of papers citing papers by Laura Mosca
This network shows the impact of papers produced by Laura Mosca. 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 Laura Mosca. The network helps show where Laura Mosca may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Mosca, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 73 | |
| 2 | 2017 | 39 | |
| 3 | 2018 | 38 | |
| 4 | 2018 | 34 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 28 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2018 | 21 | |
| 12 | 2020 | 20 | |
| 13 | 2020 | 18 | |
| 14 | 2022 | 18 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2022 | 11 |
About Laura Mosca
Laura Mosca is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Rheumatology and Oncology, having authored 31 papers that have together received 535 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), MicroRNA in disease regulation (6 papers), Folate and B Vitamins Research (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers), Autophagy in Disease and Therapy (4 papers), Oral Health Pathology and Treatment (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cancer Research (182 citations), Periodontics (27 citations), Molecular Biology (268 citations), Rheumatology (53 citations) and Oncology (68 citations). Laura Mosca has collaborated with scholars based in Italy, Spain and Japan. Frequent co-authors include Marina Porcelli, Giovanna Cacciapuoti, Michele Caraglia, Martina Pagano, Luigi Mele, Concetta Paola Ilisso, Donatella Delle Cave, Vincenzo Desiderio, Lucio Quagliuolo and Alessia Maria Cossu. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, Cell Death and Disease, Molecules and Journal of Cellular Physiology.
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.