M. Rolleri
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
- Surgery 9
- Lipoproteins and Cardiovascular Health 9
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- Protein Kinase Regulation and GTPase Signaling 3
- RNA and protein synthesis mechanisms 2
- Plant biochemistry and biosynthesis 2
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
- Co-authors
- Stefano Bertolini (12 shared papers)S. Calandra (9 shared papers)M. Ghisellini (6 shared papers)P Masturzo (6 shared papers)Rita Garuti (5 shared papers)Giovanni Mario Pes (3 shared papers)Livia Pisciotta (3 shared papers)Alfredo Cantàfora (2 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (4 papers)Clinical Genetics (2 papers)Journal of Lipid Research (1 paper)Nutrition Metabolism and Cardiovascular Diseases (1 paper)Atherosclerosis (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
M. Rolleri
13 papers receiving 325 citations
Peers
Comparison fields: 5 of 44
- Endocrinology, Diabetes and Metabolism 98
- Surgery 232
- Cancer Research 72
- Genetics 24
- Cardiology and Cardiovascular Medicine 49
Countries citing papers authored by M. Rolleri
This map shows the geographic impact of M. Rolleri'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. Rolleri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Rolleri more than expected).
Fields of papers citing papers by M. Rolleri
This network shows the impact of papers produced by M. Rolleri. 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. Rolleri. The network helps show where M. Rolleri may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Rolleri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 123 | |
| 2 | 1999 | 54 | |
| 3 | 1995 | 32 | |
| 4 | 2000 | 25 | |
| 5 | 1995 | 22 | |
| 6 | 1995 | 19 | |
| 7 | 2003 | 15 | |
| 8 | 2000 | 15 | |
| 9 | 1998 | 13 | |
| 10 | 2001 | 10 | |
| 11 | 1994 | 4 | |
| 12 | 2001 | 2 | |
| 13 | 1997 | 1 |
About M. Rolleri
M. Rolleri is a scholar working on Surgery, Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism and Immunology and Allergy, having authored 13 papers that have together received 335 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), RNA and protein synthesis mechanisms (2 papers), Cancer, Lipids, and Metabolism (2 papers), Plant biochemistry and biosynthesis (2 papers), Cell Adhesion Molecules Research (2 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (98 citations), Surgery (232 citations), Cancer Research (72 citations), Genetics (24 citations) and Cardiology and Cardiovascular Medicine (49 citations). M. Rolleri has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Stefano Bertolini, S. Calandra, M. Ghisellini, P Masturzo, Rita Garuti, Giovanni Mario Pes, Livia Pisciotta, Alfredo Cantàfora, C. Stefanutti and Maria Luisa Simone. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Clinical Genetics, Journal of Lipid Research, Nutrition Metabolism and Cardiovascular Diseases and Atherosclerosis.
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.