M. De Luise
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Oncology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- George L. BlackburnJeffrey S. FlierJohn ZalcbergR. A. MelickXiangdong HuA. E. DoyleGeorge JerumsBrian Westwood
- Topics
- Drug Transport and Resistance Mechanisms (3 papers)Estrogen and related hormone effects (3 papers)Metabolism, Diabetes, and Cancer (3 papers)
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
M. De Luise
22 papers receiving 823 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 314
- Endocrinology, Diabetes and Metabolism 218
- Physiology 192
- Oncology 189
- Cardiology and Cardiovascular Medicine 146
Countries citing papers authored by M. De Luise
This map shows the geographic impact of M. De Luise'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 M. De Luise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. De Luise more than expected).
Fields of papers citing papers by M. De Luise
This network shows the impact of papers produced by M. De Luise. 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 M. De Luise. The network helps show where M. De Luise may publish in the future.
Co-authorship network of co-authors of M. De Luise
This figure shows the co-authorship network connecting the top 25 collaborators of M. De Luise. A scholar is included among the top collaborators of M. De Luise 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 M. De Luise. M. De Luise is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 13 | |
| 3 | 95 | |
| 4 | 13 | |
| 5 | Comparison between perindopril and nifedipine in hypertensive and normotensive diabetic patients with microalbuminuria | 189 |
| 6 | 17 | |
| 7 | 5 | |
| 8 | 66 | |
| 9 | [A case of metastasis of a melanocarcinoma of unknown primary origin to the kidney pelvis]. | 0 |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | 229 | |
| 14 | 25 | |
| 15 | 25 | |
| 16 | 22 | |
| 17 | 3 | |
| 18 | 13 | |
| 19 | The effect of nephrectomy on the metabolism of labelled parathyroid hormone. | 23 |
| 20 | 22 |
About M. De Luise
M. De Luise is a scholar working on Family Practice, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 23 papers that have together received 895 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Estrogen and related hormone effects (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Nephrology (145 citations), Endocrinology, Diabetes and Metabolism (218 citations) and Physiology (192 citations). M. De Luise has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include George L. Blackburn, Jeffrey S. Flier, John Zalcberg, R. A. Melick, Xiangdong Hu, A. E. Doyle, George Jerums, Brian Westwood, M. L. Mashford and F. P. Alford. Their work appears in journals such as New England Journal of Medicine, International Journal of Cancer and Journal of Endocrinology.
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.