Gina La Sala
- Reproductive Medicine top 10%
- Sperm and Testicular Function 4
- Genetics top 10%
- Genetic and Kidney Cyst Diseases 3
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- Neurogenesis and neuroplasticity mechanisms 3
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- Pluripotent Stem Cells Research 5
- Hedgehog Signaling Pathway Studies 4
- RNA Interference and Gene Delivery 3
- RNA regulation and disease 2
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- Reproductive Biology and Fertility 5
- Co-authors
- Massimo De FeliciDonatella FariniMarianna TedescoDaniela MarazzitiChiara Di PietroRafaele MatteoniMaria Lucia ScaldaferriSaveria Iona
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Gina La Sala
28 papers receiving 557 citations
Peers
Comparison fields: 5 of 81
- Reproductive Medicine 95
- Genetics 181
- Developmental Neuroscience 26
- Molecular Biology 366
- Public Health, Environmental and Occupational Health 134
Countries citing papers authored by Gina La Sala
This map shows the geographic impact of Gina La Sala'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 Gina La Sala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina La Sala more than expected).
Fields of papers citing papers by Gina La Sala
This network shows the impact of papers produced by Gina La Sala. 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 Gina La Sala. The network helps show where Gina La Sala may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gina La Sala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2021 | 17 | |
| 7 | 2020 | 23 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 10 | |
| 10 | 2018 | 12 | |
| 11 | 2011 | 3 | |
| 12 | 2010 | 31 | |
| 13 | 2010 | 14 | |
| 14 | 2009 | 5 | |
| 15 | 2009 | 73 | |
| 16 | 2008 | 34 | |
| 17 | 2007 | 83 | |
| 18 | 2005 | 94 | |
| 19 | 2003 | 13 | |
| 20 | 2002 | 5 |
About Gina La Sala
Gina La Sala is a scholar working on Developmental Neuroscience, Reproductive Medicine and Genetics, having authored 29 papers that have together received 579 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Reproductive Biology and Fertility (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Sperm and Testicular Function (4 papers), RNA Interference and Gene Delivery (3 papers), Genetic and Kidney Cyst Diseases (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Reproductive Medicine (95 citations), Genetics (181 citations) and Developmental Neuroscience (26 citations). Gina La Sala has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Massimo De Felici, Donatella Farini, Marianna Tedesco, Daniela Marazziti, Chiara Di Pietro, Rafaele Matteoni, Maria Lucia Scaldaferri, Saveria Iona, Glauco P. Tocchini‐Valentini and Federica Barbagallo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The FASEB Journal.
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.