Gaia Andreoletti
Impact in
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- Genomics and Rare Diseases
- Inflammatory Bowel Disease
- Genetic Associations and Epidemiology
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- Pregnancy and preeclampsia studies
Papers in
- Genetics 11
- Inflammatory Bowel Disease 4
- Genetics and Neurodevelopmental Disorders 3
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 3
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- Biochemical and Molecular Research 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Sarah Ennis (12 shared papers)Steven E. Brenner (4 shared papers)Akshay Batra (6 shared papers)John Moult (2 shared papers)R Mark Beattie (6 shared papers)Nadeem Afzal (5 shared papers)Tracy Coelho (5 shared papers)James J. Ashton (4 shared papers)
- Journals
- Scientific Reports (3 papers)Human Mutation (3 papers)Inflammatory Bowel Diseases (3 papers)Genome Medicine (2 papers)Neurogenetics (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Gaia Andreoletti
23 papers receiving 493 citations
Peers
Comparison fields: 5 of 74
- Genetics 137
- Obstetrics and Gynecology 32
- Rheumatology 41
- Molecular Biology 201
- Immunology 57
Countries citing papers authored by Gaia Andreoletti
This map shows the geographic impact of Gaia Andreoletti'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 Gaia Andreoletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaia Andreoletti more than expected).
Fields of papers citing papers by Gaia Andreoletti
This network shows the impact of papers produced by Gaia Andreoletti. 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 Gaia Andreoletti. The network helps show where Gaia Andreoletti may publish in the future.
Co-authors
The 25 scholars most cited alongside Gaia Andreoletti, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 63 | |
| 2 | 2013 | 44 | |
| 3 | 2019 | 37 | |
| 4 | 2020 | 34 | |
| 5 | 2017 | 32 | |
| 6 | 2016 | 29 | |
| 7 | 2016 | 29 | |
| 8 | 2021 | 26 | |
| 9 | 2020 | 26 | |
| 10 | 2021 | 26 | |
| 11 | 2017 | 20 | |
| 12 | 2015 | 20 | |
| 13 | 2017 | 20 | |
| 14 | 2019 | 20 | |
| 15 | 2017 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2016 | 10 | |
| 19 | 2014 | 10 | |
| 20 | 2017 | 8 |
About Gaia Andreoletti
Gaia Andreoletti is a scholar working on Genetics, Molecular Biology, Rheumatology, Immunology and Infectious Diseases, having authored 23 papers that have together received 498 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (3 papers), Cancer Genomics and Diagnostics (2 papers), Biochemical and Molecular Research (2 papers), Glycogen Storage Diseases and Myoclonus (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Genetics (137 citations), Obstetrics and Gynecology (32 citations), Rheumatology (41 citations), Molecular Biology (201 citations) and Immunology (57 citations). Gaia Andreoletti has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Sarah Ennis, Steven E. Brenner, Akshay Batra, John Moult, R Mark Beattie, Nadeem Afzal, Tracy Coelho, James J. Ashton, Reuben J. Pengelly and Lipika R. Pal. Their work appears in journals such as Scientific Reports, Human Mutation, Inflammatory Bowel Diseases, Genome Medicine and Neurogenetics.
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.