M Sirtori
- Epidemiology top 2%
- Surgery top 5%
- Public Health, Environmental and Occupational Health top 2%
- Pulmonary and Respiratory Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Roberto RomeroE OyarzúnElena TremoliCesare R. SirtoriJ C HobbinsGuido FranceschiniRodolfo PaolettiP. Maderna
- Topics
- Lipoproteins and Cardiovascular Health (19 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Lipid metabolism and disorders (7 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
M Sirtori
55 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Epidemiology 1.2k
- Surgery 869
- Public Health, Environmental and Occupational Health 677
- Pulmonary and Respiratory Medicine 629
- Endocrinology, Diabetes and Metabolism 613
Countries citing papers authored by M Sirtori
This map shows the geographic impact of M Sirtori'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 Sirtori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Sirtori more than expected).
Fields of papers citing papers by M Sirtori
This network shows the impact of papers produced by M Sirtori. 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 Sirtori. The network helps show where M Sirtori may publish in the future.
Co-authorship network of co-authors of M Sirtori
This figure shows the co-authorship network connecting the top 25 collaborators of M Sirtori. A scholar is included among the top collaborators of M Sirtori 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 Sirtori. M Sirtori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 43 | |
| 3 | 2 | |
| 4 | 23 | |
| 5 | Ureteropelvic junction obstruction in utero and ex utero. | 6 |
| 6 | 2 | |
| 7 | 55 | |
| 8 | Infection and labor V. Prevalence, microbiology, and clinical significance of intraamniotic infection in women with preterm labor and intact membranesbreakdown → | 561 |
| 9 | 9 | |
| 10 | 22 | |
| 11 | 2 | |
| 12 | Infection in the pathogenesis of preterm labor. | 352 |
| 13 | 23 | |
| 14 | Detection and management of anatomic congenital anomalies. A new obstetric challenge. | 1 |
| 15 | 359 | |
| 16 | 145 | |
| 17 | 1 | |
| 18 | 29 | |
| 19 | 131 | |
| 20 | 49 |
About M Sirtori
M Sirtori is a scholar working on Endocrinology, Diabetes and Metabolism, Urology and Cardiology and Cardiovascular Medicine, having authored 57 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Lipid metabolism and disorders (7 papers). The work is most often cited by research in Microbiology (234 citations), Endocrinology, Diabetes and Metabolism (613 citations) and Obstetrics and Gynecology (288 citations). M Sirtori has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Roberto Romero, E Oyarzún, Elena Tremoli, Cesare R. Sirtori, J C Hobbins, Guido Franceschini, Rodolfo Paoletti, P. Maderna, M. Mazor and John C. Hobbins. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and American Journal of Clinical Nutrition.
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.