Roberta De Mori
Impact in
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
- Rehabilitation top 5%
Papers in
-
- Muscle Physiology and Disorders 4
- Renal and related cancers 2
- Congenital heart defects research 2
- Genetics 3
- Genetic and Kidney Cyst Diseases 3
- Genetic Syndromes and Imprinting 2
- Co-authors
- Maurizio C. Capogrossi (7 shared papers)Antonia Germani (7 shared papers)Anna Di Carlo (6 shared papers)Antonella Mangoni (5 shared papers)Giulio Pompilio (3 shared papers)Stefania Straino (3 shared papers)Fabio Martelli (2 shared papers)Federica Limana (2 shared papers)
- Journals
- Journal of Molecular and Cellular Cardiology (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Muscle & Nerve (1 paper)Circulation (1 paper)Genes & Development (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Roberta De Mori
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Clinical Biochemistry 118
- Rehabilitation 106
- Genetics 117
- Molecular Biology 675
- Surgery 264
Countries citing papers authored by Roberta De Mori
This map shows the geographic impact of Roberta De Mori'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 Roberta De Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta De Mori more than expected).
Fields of papers citing papers by Roberta De Mori
This network shows the impact of papers produced by Roberta De Mori. 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 Roberta De Mori. The network helps show where Roberta De Mori may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberta De Mori, 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 | 2008 | 210 | |
| 2 | 2007 | 191 | |
| 3 | 2008 | 142 | |
| 4 | 2009 | 118 | |
| 5 | 2004 | 117 | |
| 6 | 2016 | 98 | |
| 7 | 2007 | 84 | |
| 8 | 2004 | 47 | |
| 9 | 2010 | 39 | |
| 10 | 2011 | 14 | |
| 11 | 2024 | 5 | |
| 12 | 2014 | 5 | |
| 13 | [Serum inhibitor active against hemolytic activity of polychlorinated biphenyls (author's transl)]. | 1979 | 1 |
| 14 | 2026 | 0 |
About Roberta De Mori
Roberta De Mori is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Genetic and Kidney Cyst Diseases (3 papers), Genetic Syndromes and Imprinting (2 papers), Renal and related cancers (2 papers), Congenital heart defects research (2 papers), Advanced Glycation End Products research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). The work is most often cited by research in Clinical Biochemistry (118 citations), Rehabilitation (106 citations), Genetics (117 citations), Molecular Biology (675 citations) and Surgery (264 citations). Roberta De Mori has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Maurizio C. Capogrossi, Antonia Germani, Anna Di Carlo, Antonella Mangoni, Giulio Pompilio, Stefania Straino, Fabio Martelli, Federica Limana, Antonella Zacheo and David Mocini. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Arteriosclerosis Thrombosis and Vascular Biology, Muscle & Nerve, Circulation and Genes & Development.
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.