Anna Di Martino
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Physiology
- Co-authors
- Ferdinando Carlo SassoGaetana AlbaneseRaffaele GalieroTeresa SalvatoreLuca RinaldiAlfredo CaturanoErica VetranoCelestino Sardu
- Topics
- Diabetes Treatment and Management (6 papers)Cardiovascular Function and Risk Factors (5 papers)Metabolism, Diabetes, and Cancer (5 papers)
- Journals
- International Journal of Molecular SciencesThe American Journal of the Medical SciencesBiomolecules
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Anna Di Martino
13 papers receiving 627 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 302
- Molecular Biology 241
- Cardiology and Cardiovascular Medicine 189
- Surgery 160
- Physiology 81
Countries citing papers authored by Anna Di Martino
This map shows the geographic impact of Anna Di Martino'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 Anna Di Martino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Di Martino more than expected).
Fields of papers citing papers by Anna Di Martino
This network shows the impact of papers produced by Anna Di Martino. 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 Anna Di Martino. The network helps show where Anna Di Martino may publish in the future.
Co-authorship network of co-authors of Anna Di Martino
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Di Martino. A scholar is included among the top collaborators of Anna Di Martino 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 Anna Di Martino. Anna Di Martino 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 | 3 | |
| 3 | 26 | |
| 4 | 44 | |
| 5 | An Overview of the Cardiorenal Protective Mechanisms of SGLT2 Inhibitorsbreakdown → | 152 |
| 6 | 57 | |
| 7 | 99 | |
| 8 | 67 | |
| 9 | 57 | |
| 10 | 78 | |
| 11 | 39 | |
| 12 | 7 | |
| 13 | 5 |
About Anna Di Martino
Anna Di Martino is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Genetics, having authored 13 papers that have together received 636 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Cardiovascular Function and Risk Factors (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (302 citations), Cardiology and Cardiovascular Medicine (189 citations) and Nephrology (42 citations). Anna Di Martino has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Ferdinando Carlo Sasso, Gaetana Albanese, Raffaele Galiero, Teresa Salvatore, Luca Rinaldi, Alfredo Caturano, Erica Vetrano, Celestino Sardu, Raffaele Marfella and Pia Clara Pafundi. Their work appears in journals such as International Journal of Molecular Sciences, The American Journal of the Medical Sciences and Biomolecules.
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.