M. Ventura
- Endocrinology, Diabetes and Metabolism top 10%
- Orthopedics and Sports Medicine top 5%
- Molecular Biology
- Pathology and Forensic Medicine
- Oncology
- Co-authors
- G. OsellaMassimo TerzoloAlberto AngeliA TermineAndrea DovioGiuseppe ReimondoAntonio BertolottoEva Milano
- Topics
- Pituitary Gland Disorders and Treatments (4 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)Bone health and treatments (2 papers)
- Cited by
- Orthopedics and Sports MedicineEndocrinology, Diabetes and MetabolismBehavioral Neuroscience
In The Last Decade
M. Ventura
11 papers receiving 408 citations
Peers
Comparison fields: 5 of 69
- Endocrinology, Diabetes and Metabolism 178
- Orthopedics and Sports Medicine 129
- Molecular Biology 93
- Pathology and Forensic Medicine 82
- Oncology 69
Countries citing papers authored by M. Ventura
This map shows the geographic impact of M. Ventura'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. Ventura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ventura more than expected).
Fields of papers citing papers by M. Ventura
This network shows the impact of papers produced by M. Ventura. 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. Ventura. The network helps show where M. Ventura may publish in the future.
Co-authorship network of co-authors of M. Ventura
This figure shows the co-authorship network connecting the top 25 collaborators of M. Ventura. A scholar is included among the top collaborators of M. Ventura 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. Ventura. M. Ventura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 23 | |
| 3 | 28 | |
| 4 | 22 | |
| 5 | Effects of the training status on the hormonal response and recovery from high-intensity isokinetic exercise: comparisons between endurance-trained athletes and sedentary subjects. | 8 |
| 6 | 49 | |
| 7 | SERUM OSTEOPROTEGERIN LEVELS ARE INCREASED IN PATIENTS WITH CUSHING'S SYNDROME: A CASE-CONTROL STUDY | 1 |
| 8 | 85 | |
| 9 | 120 | |
| 10 | 63 | |
| 11 | 12 |
About M. Ventura
M. Ventura is a scholar working on Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism and Rehabilitation, having authored 11 papers that have together received 417 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (129 citations), Endocrinology, Diabetes and Metabolism (178 citations) and Behavioral Neuroscience (32 citations). M. Ventura has collaborated with scholars based in Italy and Belarus. Frequent co-authors include G. Osella, Massimo Terzolo, Alberto Angeli, A Termine, Andrea Dovio, Giuseppe Reimondo, Alberto Angeli, Antonio Bertolotto, Eva Milano and M.A. Minetto. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Osteoporosis International and European 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.