Maria Rosa Lovati
-
- Phytoestrogen effects and research 24
- Nutrition and Dietetics top 2%
- Fatty Acid Research and Health 11
-
- Diet, Metabolism, and Disease 5
-
- Botanical Research and Chemistry 5
- Biochemistry top 5%
-
- Protein Hydrolysis and Bioactive Peptides 11
- Peroxisome Proliferator-Activated Receptors 7
-
- Cholesterol and Lipid Metabolism 7
-
- Diet and metabolism studies 5
- Co-authors
- Cristina ManzoniCesare R. SirtoriMarcello DurantiElisabetta GianazzaSilvia CastiglioniAnna ArnoldiChiara MagniFranco Pazzucconi
- Cited by
- Pathology and Forensic MedicineNutrition and DieteticsEndocrinology, Diabetes and Metabolism
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Maria Rosa Lovati
51 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 96
- Pathology and Forensic Medicine 736
- Nutrition and Dietetics 550
- Endocrinology, Diabetes and Metabolism 315
- Ecology, Evolution, Behavior and Systematics 328
- Biochemistry 111
Countries citing papers authored by Maria Rosa Lovati
This map shows the geographic impact of Maria Rosa Lovati'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 Maria Rosa Lovati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Rosa Lovati more than expected).
Fields of papers citing papers by Maria Rosa Lovati
This network shows the impact of papers produced by Maria Rosa Lovati. 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 Maria Rosa Lovati. The network helps show where Maria Rosa Lovati may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Rosa Lovati, 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 | 2013 | 19 | |
| 2 | 2008 | 8 | |
| 3 | 2004 | 132 | |
| 4 | 2004 | 195 | |
| 5 | 2003 | 57 | |
| 6 | 2002 | 17 | |
| 7 | 2001 | 78 | |
| 8 | 2000 | 178 | |
| 9 | Reduction of serum cholesterol by soy proteins: Clinical experience and potential molecular mechanisms | 1998 | 61 |
| 10 | 1998 | 34 | |
| 11 | 1998 | 55 | |
| 12 | 1996 | 52 | |
| 13 | 1996 | 41 | |
| 14 | 1995 | 36 | |
| 15 | 1994 | 0 | |
| 16 | 1992 | 6 | |
| 17 | 1991 | 17 | |
| 18 | 1987 | 145 | |
| 19 | 1984 | 27 | |
| 20 | 1984 | 18 |
About Maria Rosa Lovati
Maria Rosa Lovati is a scholar working on Pathology and Forensic Medicine, Nutrition and Dietetics and Biochemistry, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (24 papers), Protein Hydrolysis and Bioactive Peptides (11 papers), Fatty Acid Research and Health (11 papers), Cholesterol and Lipid Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Botanical Research and Chemistry (5 papers), Diet, Metabolism, and Disease (5 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (736 citations), Nutrition and Dietetics (550 citations) and Endocrinology, Diabetes and Metabolism (315 citations). Maria Rosa Lovati has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Cristina Manzoni, Cesare R. Sirtori, Marcello Duranti, Elisabetta Gianazza, Silvia Castiglioni, Anna Arnoldi, Chiara Magni, Franco Pazzucconi, Kenneth K. Carroll and Elzbieta M. Kurowska. Their work appears in journals such as Journal of Nutrition, Atherosclerosis, The FASEB Journal, Journal of Agricultural and Food Chemistry and Electrophoresis.
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.