Anna Ramazzotti
Impact in
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
- Hematology top 5%
- Iron Metabolism and Disorders
Papers in
- Genetics 7
- Hemoglobinopathies and Related Disorders 7
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- Iron Metabolism and Disorders 6
- Co-authors
- Massimo Lombardi (8 shared papers)Vincenzo Positano (7 shared papers)Alessia Pepe (7 shared papers)Françoise Foury (1 shared paper)Daniele De Marchi (7 shared papers)Massimo Midiri (5 shared papers)Luigi Landini (7 shared papers)Maria Filomena Santarelli (6 shared papers)
In The Last Decade
Anna Ramazzotti
10 papers receiving 642 citations
Peers
Comparison fields: 5 of 52
- Genetics 373
- Hematology 195
- Cellular and Molecular Neuroscience 81
- Radiology, Nuclear Medicine and Imaging 92
- Nutrition and Dietetics 45
Countries citing papers authored by Anna Ramazzotti
This map shows the geographic impact of Anna Ramazzotti'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 Anna Ramazzotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Ramazzotti more than expected).
Fields of papers citing papers by Anna Ramazzotti
This network shows the impact of papers produced by Anna Ramazzotti. 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 Anna Ramazzotti. The network helps show where Anna Ramazzotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Ramazzotti, 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 | 2007 | 123 | |
| 2 | 2009 | 115 | |
| 3 | 2008 | 114 | |
| 4 | 2003 | 106 | |
| 5 | 2009 | 67 | |
| 6 | 2005 | 60 | |
| 7 | 2009 | 40 | |
| 8 | 2008 | 20 | |
| 9 | 2007 | 10 | |
| 10 | Standardized T2* Map of Normal Human Heart in Vivo To Correct T2* Segmental Artifacts: a multislace, multiecho T2* approach for cardiac iron overloaded patients | 2007 | 5 |
About Anna Ramazzotti
Anna Ramazzotti is a scholar working on Genetics, Hematology, Cellular and Molecular Neuroscience, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 660 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (7 papers), Iron Metabolism and Disorders (6 papers), Liver Disease Diagnosis and Treatment (2 papers), Advanced MRI Techniques and Applications (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Fetal and Pediatric Neurological Disorders (1 paper), Spinal Dysraphism and Malformations (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Genetics (373 citations), Hematology (195 citations), Cellular and Molecular Neuroscience (81 citations), Radiology, Nuclear Medicine and Imaging (92 citations) and Nutrition and Dietetics (45 citations). Anna Ramazzotti has collaborated with scholars based in Italy, Belgium and Australia. Frequent co-authors include Massimo Lombardi, Vincenzo Positano, Alessia Pepe, Françoise Foury, Daniele De Marchi, Massimo Midiri, Luigi Landini, Maria Filomena Santarelli, Aurelio Maggio and Paolo Cianciulli. Their work appears in journals such as NMR in Biomedicine, Journal of Cardiovascular Magnetic Resonance, Journal of Magnetic Resonance Imaging, International Journal of Medical Informatics and Magnetic Resonance Imaging.
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.