Alessia Bagattin
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology
- Cell Biology top 10%
- Epidemiology
- Co-authors
- Elisabetta MuellerLingyan XuLynne HugendublerGian Antonio DanieliToren FinkelMonica C. SkarulisXinran MaOksana Gavrilova
- Topics
- Adipose Tissue and Metabolism (4 papers)Ion channel regulation and function (4 papers)Cardiac electrophysiology and arrhythmias (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineComplementary and alternative medicineMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Investigation
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Alessia Bagattin
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 699
- Cardiology and Cardiovascular Medicine 330
- Physiology 185
- Cell Biology 138
- Epidemiology 136
Countries citing papers authored by Alessia Bagattin
This map shows the geographic impact of Alessia Bagattin'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 Alessia Bagattin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessia Bagattin more than expected).
Fields of papers citing papers by Alessia Bagattin
This network shows the impact of papers produced by Alessia Bagattin. 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 Alessia Bagattin. The network helps show where Alessia Bagattin may publish in the future.
Co-authorship network of co-authors of Alessia Bagattin
This figure shows the co-authorship network connecting the top 25 collaborators of Alessia Bagattin. A scholar is included among the top collaborators of Alessia Bagattin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alessia Bagattin. Alessia Bagattin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 22 | |
| 3 | 16 | |
| 4 | 58 | |
| 5 | 41 | |
| 6 | 101 | |
| 7 | 44 | |
| 8 | 45 | |
| 9 | 15 | |
| 10 | 259 | |
| 11 | 91 | |
| 12 | 65 | |
| 13 | 42 | |
| 14 | 65 | |
| 15 | 52 | |
| 16 | Gene symbol: COL1A1. Disease: Osteogenesis imperfecta type I. | 0 |
| 17 | 33 | |
| 18 | 168 | |
| 19 | 39 |
About Alessia Bagattin
Alessia Bagattin is a scholar working on Nephrology, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Ion channel regulation and function (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (330 citations), Complementary and alternative medicine (101 citations) and Molecular Biology (699 citations). Alessia Bagattin has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Elisabetta Mueller, Lingyan Xu, Lynne Hugendubler, Gian Antonio Danieli, Toren Finkel, Monica C. Skarulis, Xinran Ma, Oksana Gavrilova, Jie Liu and Anna Teresa Alberobello. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.
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.