Anna Ramazzotti

774 total citations
9 papers, 616 citations indexed

About

Anna Ramazzotti is a scholar working on Hematology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anna Ramazzotti has authored 9 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anna Ramazzotti's work include Iron Metabolism and Disorders (7 papers), Hemoglobinopathies and Related Disorders (6 papers) and Advanced MRI Techniques and Applications (2 papers). Anna Ramazzotti is often cited by papers focused on Iron Metabolism and Disorders (7 papers), Hemoglobinopathies and Related Disorders (6 papers) and Advanced MRI Techniques and Applications (2 papers). Anna Ramazzotti collaborates with scholars based in Italy, Australia and Canada. Anna Ramazzotti's co-authors include Massimo Lombardi, Françoise Foury, Alessia Pepe, Vincenzo Positano, Daniele De Marchi, Massimo Midiri, Luigi Landini, Maria Filomena Santarelli, Brunella Favilli and Paolo Cianciulli and has published in prestigious journals such as Brain, FEBS Letters and Journal of Magnetic Resonance Imaging.

In The Last Decade

Anna Ramazzotti

9 papers receiving 606 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna Ramazzotti Italy 8 382 327 108 108 84 9 616
Anjali Kumar United States 9 224 0.6× 206 0.6× 77 0.7× 37 0.3× 17 0.2× 18 646
Ludovico Guarini United States 9 399 1.0× 316 1.0× 82 0.8× 41 0.4× 11 0.1× 17 588
Kazuya Sakai Japan 13 128 0.3× 222 0.7× 49 0.5× 24 0.2× 33 0.4× 63 587
Emily Barron‐Casella United States 14 299 0.8× 274 0.8× 197 1.8× 24 0.2× 3 0.0× 24 585
Regine Grosse Germany 12 208 0.5× 193 0.6× 47 0.4× 20 0.2× 4 0.0× 36 335
C. Brancati Italy 15 313 0.8× 251 0.8× 122 1.1× 5 0.0× 19 0.2× 58 615
Peter Kappert Netherlands 13 32 0.1× 38 0.1× 102 0.9× 228 2.1× 13 0.2× 25 475
Brian Gibson United States 10 92 0.2× 45 0.1× 126 1.2× 17 0.2× 18 0.2× 23 394
Robert P. Uller United States 8 40 0.1× 33 0.1× 158 1.5× 145 1.3× 12 0.1× 9 1.0k
Stefan Holm Sweden 12 195 0.5× 18 0.1× 159 1.5× 26 0.2× 7 0.1× 21 460

Countries citing papers authored by Anna Ramazzotti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anna Ramazzotti

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Ramazzotti. A scholar is included among the top collaborators of Anna Ramazzotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Ramazzotti. Anna Ramazzotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Meloni, Antonella, Anna Ramazzotti, Vincenzo Positano, et al.. (2009). Evaluation of a web-based network for reproducible T2* MRI assessment of iron overload in thalassemia. International Journal of Medical Informatics. 78(8). 503–512. 67 indexed citations
2.
Ramazzotti, Anna, Alessia Pepe, Vincenzo Positano, et al.. (2009). Multicenter validation of the magnetic resonance t2* technique for segmental and global quantification of myocardial iron. Journal of Magnetic Resonance Imaging. 30(1). 62–68. 113 indexed citations
3.
Positano, Vincenzo, Alessia Pepe, Maria Filomena Santarelli, et al.. (2009). Multislice multiecho T2* cardiac magnetic resonance for the detection of heterogeneous myocardial iron distribution in thalassaemia patients. NMR in Biomedicine. 22(7). 707–715. 38 indexed citations
4.
Positano, Vincenzo, Alessia Pepe, Maria Filomena Santarelli, et al.. (2008). Improved T2* assessment in liver iron overload by magnetic resonance imaging. Magnetic Resonance Imaging. 27(2). 188–197. 110 indexed citations
5.
Ramazzotti, Anna, Eliana Cracolici, Daniele De Marchi, et al.. (2007). Standardized T2* Map of Normal Human Heart in Vivo To Correct T2* Segmental Artifacts: a multislace, multiecho T2* approach for cardiac iron overloaded patients. Journal of Cardiovascular Magnetic Resonance. 9. 371–371. 5 indexed citations
6.
Positano, Vincenzo, Alessia Pepe, Maria Filomena Santarelli, et al.. (2007). Standardized T2* map of normal human heart in vivo to correct T2* segmental artefacts. NMR in Biomedicine. 20(6). 578–590. 119 indexed citations
7.
Positano, Vincenzo, Maria Filomena Santarelli, Anna Ramazzotti, et al.. (2007). A Robust Method for Assessment of Iron Overload in Liver by Magnetic Resonance Imaging. Conference proceedings. 2007. 2895–2898. 10 indexed citations
8.
Leventer, Richard J., Anna Jansen, Eva Andermann, et al.. (2005). Periventricular nodular heterotopia with overlying polymicrogyria. Brain. 128(12). 2811–2821. 50 indexed citations
9.
Ramazzotti, Anna, et al.. (2003). Mitochondrial functional interactions between frataxin and Isu1p, the iron–sulfur cluster scaffold protein, in Saccharomyces cerevisiae. FEBS Letters. 557(1-3). 215–220. 104 indexed citations

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.

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