Lamia Ait-Alì
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery top 10%
- Co-authors
- Maria Grazia AndreassiPierluigi FestaIlenia FoffaEugenio PicanoNicoletta BottoIsabella SpadoniGiovanni Donato AquaroE. Vañó
- Topics
- Congenital Heart Disease Studies (36 papers)Cardiac Valve Diseases and Treatments (19 papers)Aortic Disease and Treatment Approaches (15 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCritical Care and Intensive Care MedicinePulmonary and Respiratory Medicine
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Lamia Ait-Alì
83 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 652
- Pulmonary and Respiratory Medicine 557
- Epidemiology 549
- Radiology, Nuclear Medicine and Imaging 299
- Surgery 288
Countries citing papers authored by Lamia Ait-Alì
This map shows the geographic impact of Lamia Ait-Alì'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 Lamia Ait-Alì with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lamia Ait-Alì more than expected).
Fields of papers citing papers by Lamia Ait-Alì
This network shows the impact of papers produced by Lamia Ait-Alì. 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 Lamia Ait-Alì. The network helps show where Lamia Ait-Alì may publish in the future.
Co-authorship network of co-authors of Lamia Ait-Alì
This figure shows the co-authorship network connecting the top 25 collaborators of Lamia Ait-Alì. A scholar is included among the top collaborators of Lamia Ait-Alì 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 Lamia Ait-Alì. Lamia Ait-Alì 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 28 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 17 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 17 |
About Lamia Ait-Alì
Lamia Ait-Alì is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (36 papers), Cardiac Valve Diseases and Treatments (19 papers) and Aortic Disease and Treatment Approaches (15 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (652 citations), Critical Care and Intensive Care Medicine (146 citations) and Pulmonary and Respiratory Medicine (557 citations). Lamia Ait-Alì has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Maria Grazia Andreassi, Pierluigi Festa, Ilenia Foffa, Eugenio Picano, Nicoletta Botto, Isabella Spadoni, Giovanni Donato Aquaro, E. Vañó, Cecilia Vecoli and Silvia Pulignani. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Stroke.
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.