Anna Caciotti
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
- Physiology 26
- Lysosomal Storage Disorders Research 26
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- Glycosylation and Glycoproteins Research 8
- Mitochondrial Function and Pathology 4
- Co-authors
- Amelia Morrone (38 shared papers)Maria Alice Donati (17 shared papers)Enrico Zammarchi (14 shared papers)Renzo Guerrini (20 shared papers)Alessandra d’Azzo (10 shared papers)Elena Procopio (8 shared papers)Rossella Parini (7 shared papers)Alessio Mengoni (1 shared paper)
- Journals
- Human Mutation (4 papers)Orphanet Journal of Rare Diseases (2 papers)Molecules (2 papers)Molecular Genetics and Metabolism (2 papers)Journal of Neurology (2 papers)
- Partner nations
- ItalyUnited StatesCyprus
In The Last Decade
Anna Caciotti
39 papers receiving 711 citations
Peers
Comparison fields: 5 of 73
- Physiology 414
- Cell Biology 222
- Clinical Biochemistry 78
- Rheumatology 83
- Epidemiology 185
Countries citing papers authored by Anna Caciotti
This map shows the geographic impact of Anna Caciotti'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 Caciotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Caciotti more than expected).
Fields of papers citing papers by Anna Caciotti
This network shows the impact of papers produced by Anna Caciotti. 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 Caciotti. The network helps show where Anna Caciotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Caciotti, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 86 | |
| 2 | 2014 | 52 | |
| 3 | 2013 | 46 | |
| 4 | 2009 | 42 | |
| 5 | 2005 | 35 | |
| 6 | 2009 | 34 | |
| 7 | 2017 | 30 | |
| 8 | 2003 | 29 | |
| 9 | 2005 | 29 | |
| 10 | 2016 | 28 | |
| 11 | 2019 | 28 | |
| 12 | 2008 | 26 | |
| 13 | 2008 | 26 | |
| 14 | 2016 | 25 | |
| 15 | 2007 | 23 | |
| 16 | 2002 | 22 | |
| 17 | 2005 | 17 | |
| 18 | 2018 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2016 | 14 |
About Anna Caciotti
Anna Caciotti is a scholar working on Physiology, Molecular Biology, Epidemiology, Cell Biology and Organic Chemistry, having authored 40 papers that have together received 728 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (26 papers), Trypanosoma species research and implications (13 papers), Glycosylation and Glycoproteins Research (8 papers), Cellular transport and secretion (7 papers), Metabolism and Genetic Disorders (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Skin and Cellular Biology Research (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Physiology (414 citations), Cell Biology (222 citations), Clinical Biochemistry (78 citations), Rheumatology (83 citations) and Epidemiology (185 citations). Anna Caciotti has collaborated with scholars based in Italy, United States and Cyprus. Frequent co-authors include Amelia Morrone, Maria Alice Donati, Enrico Zammarchi, Renzo Guerrini, Alessandra d’Azzo, Elena Procopio, Rossella Parini, Alessio Mengoni, Renato Fani and G. Surico. Their work appears in journals such as Human Mutation, Orphanet Journal of Rare Diseases, Molecules, Molecular Genetics and Metabolism and Journal of Neurology.
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.