Anna Maria Rinaldi
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Health, Toxicology and Mutagenesis top 5%
- Immunology top 10%
- Co-authors
- Giuseppe CanninoAlberto MonroyClaudio LuparelloRosa Maria Di MaggioMaria AgnelloNadia CanuCarlo Maria Di LiegroMaria Teresa Ciotti
- Topics
- Mitochondrial Function and Pathology (9 papers)ATP Synthase and ATPases Research (6 papers)Spaceflight effects on biology (5 papers)
- Partner nations
- ItalySwitzerlandBelgium
In The Last Decade
Anna Maria Rinaldi
63 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 831
- Physiology 396
- Cellular and Molecular Neuroscience 304
- Health, Toxicology and Mutagenesis 247
- Immunology 235
Countries citing papers authored by Anna Maria Rinaldi
This map shows the geographic impact of Anna Maria Rinaldi'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 Maria Rinaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Maria Rinaldi more than expected).
Fields of papers citing papers by Anna Maria Rinaldi
This network shows the impact of papers produced by Anna Maria Rinaldi. 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 Maria Rinaldi. The network helps show where Anna Maria Rinaldi may publish in the future.
Co-authorship network of co-authors of Anna Maria Rinaldi
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Maria Rinaldi. A scholar is included among the top collaborators of Anna Maria Rinaldi 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 Maria Rinaldi. Anna Maria Rinaldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | SOX9 switch links regeneration to fibrosis at the single-cell level in mammalian kidneysbreakdown → | 48 |
| 3 | 8 | |
| 4 | 21 | |
| 5 | 35 | |
| 6 | 71 | |
| 7 | 37 | |
| 8 | 33 | |
| 9 | 4 | |
| 10 | 30 | |
| 11 | 15 | |
| 12 | 94 | |
| 13 | 15 | |
| 14 | Mitochondrial protein expression in rattus norvegicus and human cells | 9 |
| 15 | Cadmium accumulation induces apoptosis in P. Lividus em- bryos | 16 |
| 16 | Mitochondrial protein expression in Ratt and in human cells | 3 |
| 17 | 92 | |
| 18 | 15 | |
| 19 | 30 | |
| 20 | 6 |
About Anna Maria Rinaldi
Anna Maria Rinaldi is a scholar working on Transplantation, Developmental Neuroscience and Aging, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), ATP Synthase and ATPases Research (6 papers) and Spaceflight effects on biology (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (247 citations), Cellular and Molecular Neuroscience (304 citations) and Physiology (396 citations). Anna Maria Rinaldi has collaborated with scholars based in Italy, Switzerland and Belgium. Frequent co-authors include Giuseppe Cannino, Alberto Monroy, Claudio Luparello, Rosa Maria Di Maggio, Maria Agnello, Nadia Canu, Carlo Maria Di Liegro, Maria Teresa Ciotti, Roberta Possenti and Andrea Levi. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.