Flávia Mayer
- Psychiatry and Mental health top 10%
- Physiology
- General Health Professions
- Cardiology and Cardiovascular Medicine
- Economics and Econometrics
- Co-authors
- Nicola VanacoreEleonora LacorteIlaria BacigalupoMarco CanevelliAlessandra Di PucchioMarina DavoliTeresa Di FiandraNera Agabiti
- Topics
- Dementia and Cognitive Impairment Research (6 papers)Health Systems, Economic Evaluations, Quality of Life (5 papers)Alzheimer's disease research and treatments (4 papers)
- Partner nations
- ItalyUnited StatesArmenia
In The Last Decade
Flávia Mayer
26 papers receiving 480 citations
Peers
Comparison fields: 5 of 96
- Psychiatry and Mental health 143
- Physiology 72
- General Health Professions 57
- Cardiology and Cardiovascular Medicine 56
- Economics and Econometrics 55
Countries citing papers authored by Flávia Mayer
This map shows the geographic impact of Flávia Mayer'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 Flávia Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flávia Mayer more than expected).
Fields of papers citing papers by Flávia Mayer
This network shows the impact of papers produced by Flávia Mayer. 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 Flávia Mayer. The network helps show where Flávia Mayer may publish in the future.
Co-authorship network of co-authors of Flávia Mayer
This figure shows the co-authorship network connecting the top 25 collaborators of Flávia Mayer. A scholar is included among the top collaborators of Flávia Mayer 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 Flávia Mayer. Flávia Mayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 19 | |
| 4 | 16 | |
| 5 | 27 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 29 | |
| 12 | 33 | |
| 13 | 79 | |
| 14 | 19 | |
| 15 | 8 | |
| 16 | 21 | |
| 17 | [Socioeconomic position and appropriate antiplatelet therapy after percutaneous coronary intervention: a population-based cohort study in Rome (Lazio Region, Central Italy)]. | 1 |
| 18 | 35 | |
| 19 | 4 | |
| 20 | 27 |
About Flávia Mayer
Flávia Mayer is a scholar working on Family Practice, Psychiatry and Mental health and Critical Care and Intensive Care Medicine, having authored 27 papers that have together received 491 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Psychiatry and Mental health (143 citations), Geriatrics and Gerontology (34 citations) and Neurology (37 citations). Flávia Mayer has collaborated with scholars based in Italy, United States and Armenia. Frequent co-authors include Nicola Vanacore, Eleonora Lacorte, Ilaria Bacigalupo, Marco Canevelli, Alessandra Di Pucchio, Marina Davoli, Teresa Di Fiandra, Nera Agabiti, Antonio Addis and Francesco Trotta. Their work appears in journals such as BMC Public Health, Journal of Internal Medicine and Ageing Research Reviews.
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.