Mara Fallarino
- Epidemiology
- Physiology
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Co-authors
- Susanna MoranoElisabetta MandosiMarco Giorgio BaroniStefano RomeoFederica SentinelliEmanuela FilippiAlessandra GattiAndrea Lenzi
- Topics
- Adipose Tissue and Metabolism (5 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)Diabetes Treatment and Management (3 papers)
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Mara Fallarino
20 papers receiving 546 citations
Peers
Comparison fields: 5 of 73
- Epidemiology 170
- Physiology 154
- Cardiology and Cardiovascular Medicine 153
- Endocrinology, Diabetes and Metabolism 141
- Surgery 133
Countries citing papers authored by Mara Fallarino
This map shows the geographic impact of Mara Fallarino'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 Mara Fallarino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara Fallarino more than expected).
Fields of papers citing papers by Mara Fallarino
This network shows the impact of papers produced by Mara Fallarino. 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 Mara Fallarino. The network helps show where Mara Fallarino may publish in the future.
Co-authorship network of co-authors of Mara Fallarino
This figure shows the co-authorship network connecting the top 25 collaborators of Mara Fallarino. A scholar is included among the top collaborators of Mara Fallarino 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 Mara Fallarino. Mara Fallarino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 83 | |
| 3 | 4 | |
| 4 | 36 | |
| 5 | 46 | |
| 6 | 20 | |
| 7 | 4 | |
| 8 | 18 | |
| 9 | Angiotensin blockade and matrix synthesis by glomerular epithelial cells in high glucose: a further experimental insight into the pathophysiology of diabetic nephropathy. | 4 |
| 10 | 39 | |
| 11 | 13 | |
| 12 | 27 | |
| 13 | 22 | |
| 14 | 5 | |
| 15 | 17 | |
| 16 | 110 | |
| 17 | 36 | |
| 18 | 27 | |
| 19 | 7 | |
| 20 | 3 |
About Mara Fallarino
Mara Fallarino is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology, having authored 20 papers that have together received 562 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (141 citations), Cardiology and Cardiovascular Medicine (153 citations) and Physiology (154 citations). Mara Fallarino has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Susanna Morano, Elisabetta Mandosi, Marco Giorgio Baroni, Stefano Romeo, Federica Sentinelli, Emanuela Filippi, Alessandra Gatti, Andrea Lenzi, Tiziana Filardi and Andrea Berni. Their work appears in journals such as Diabetes Care, The Journal of Urology and International Journal of Obesity.
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.