Emma Riva
Impact in
- Geriatrics and Gerontology top 2%
- Pharmaceutical Practices and Patient Outcomes
- Family Practice top 5%
Papers in
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- Cardiac electrophysiology and arrhythmias 19
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- Dementia and Cognitive Impairment Research 17
- Co-authors
- Mauro Tettamanti (45 shared papers)Alessandro Nobili (34 shared papers)Ugo Lucca (37 shared papers)Roberto Latini (19 shared papers)M. Gerna (3 shared papers)Luca Merlino (12 shared papers)Ida Fortino (12 shared papers)Angela Bortolotti (12 shared papers)
- Journals
- Alzheimer s & Dementia (16 papers)European Journal of Clinical Pharmacology (7 papers)Journal of Cardiovascular Pharmacology (6 papers)Journal of Pharmacy and Pharmacology (3 papers)Journal of Molecular and Cellular Cardiology (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Emma Riva
98 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 132
- Geriatrics and Gerontology 211
- Family Practice 57
- Hematology 289
- Cardiology and Cardiovascular Medicine 440
- Psychiatry and Mental health 264
Countries citing papers authored by Emma Riva
This map shows the geographic impact of Emma Riva'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 Emma Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Riva more than expected).
Fields of papers citing papers by Emma Riva
This network shows the impact of papers produced by Emma Riva. 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 Emma Riva. The network helps show where Emma Riva may publish in the future.
Co-authors
The 25 scholars most cited alongside Emma Riva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 165 | |
| 2 | 2008 | 117 | |
| 3 | 1982 | 116 | |
| 4 | 2008 | 104 | |
| 5 | 2009 | 99 | |
| 6 | 1982 | 75 | |
| 7 | 1995 | 68 | |
| 8 | 2011 | 65 | |
| 9 | 2004 | 62 | |
| 10 | 2011 | 57 | |
| 11 | 2014 | 50 | |
| 12 | 1972 | 42 | |
| 13 | 2011 | 40 | |
| 14 | 2011 | 37 | |
| 15 | 1987 | 37 | |
| 16 | 1991 | 33 | |
| 17 | 1987 | 27 | |
| 18 | 2016 | 27 | |
| 19 | 1998 | 26 | |
| 20 | 2015 | 26 |
About Emma Riva
Emma Riva is a scholar working on Cardiology and Cardiovascular Medicine, Psychiatry and Mental health, Molecular Biology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 101 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (19 papers), Dementia and Cognitive Impairment Research (17 papers), Cardiac Ischemia and Reperfusion (12 papers), Analytical Methods in Pharmaceuticals (7 papers), Diabetes Management and Research (6 papers), Pharmaceutical Practices and Patient Outcomes (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Hemoglobinopathies and Related Disorders (5 papers). The work is most often cited by research in Geriatrics and Gerontology (211 citations), Family Practice (57 citations), Hematology (289 citations), Cardiology and Cardiovascular Medicine (440 citations) and Psychiatry and Mental health (264 citations). Emma Riva has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Mauro Tettamanti, Alessandro Nobili, Ugo Lucca, Roberto Latini, M. Gerna, Luca Merlino, Ida Fortino, Angela Bortolotti, Luca Pasina and Paolo Detoma. Their work appears in journals such as Alzheimer s & Dementia, European Journal of Clinical Pharmacology, Journal of Cardiovascular Pharmacology, Journal of Pharmacy and Pharmacology and Journal of Molecular and Cellular Cardiology.
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.