Anna Pellattiero
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
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- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Photosynthetic Processes and Mechanisms
Papers in
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- ATP Synthase and ATPases Research 7
- Mitochondrial Function and Pathology 7
- Cell death mechanisms and regulation 1
- Photosynthetic Processes and Mechanisms 1
- DNA Repair Mechanisms 1
- Redox biology and oxidative stress 1
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- Acute Myeloid Leukemia Research 1
- Co-authors
- Luca Scorrano (6 shared papers)Paolo Bernardi (1 shared paper)María Eugenia Soriano (1 shared paper)Enrique Calvo (1 shared paper)Jesús Vázquez (1 shared paper)Rubén Quintana–Cabrera (1 shared paper)Christina Glytsou (2 shared papers)Christoph Gerle (1 shared paper)
- Journals
- Science Advances (2 papers)Cell Death and Disease (2 papers)Redox Biology (1 paper)Nature Communications (1 paper)Padua@research (University of Padova) (1 paper)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Anna Pellattiero
7 papers receiving 159 citations
Peers
Comparison fields: 5 of 45
- Clinical Biochemistry 43
- Molecular Biology 144
- Cancer Research 22
- Aging 2
- Developmental Neuroscience 3
Countries citing papers authored by Anna Pellattiero
This map shows the geographic impact of Anna Pellattiero'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 Pellattiero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Pellattiero more than expected).
Fields of papers citing papers by Anna Pellattiero
This network shows the impact of papers produced by Anna Pellattiero. 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 Pellattiero. The network helps show where Anna Pellattiero may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Pellattiero, 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 | 2018 | 114 | |
| 2 | 2023 | 24 | |
| 3 | 2023 | 10 | |
| 4 | 2025 | 5 | |
| 5 | 2025 | 5 | |
| 6 | 2025 | 1 | |
| 7 | Pharmacological modulation of mitochondrial dynamics: identification of a specific OPA1 inhibitor to enhance apoptotic release of cytochrome c. | 2019 | 1 |
About Anna Pellattiero
Anna Pellattiero is a scholar working on Molecular Biology, Hematology, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 160 indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (7 papers), Mitochondrial Function and Pathology (7 papers), Cell death mechanisms and regulation (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Acute Myeloid Leukemia Research (1 paper), DNA Repair Mechanisms (1 paper) and Redox biology and oxidative stress (1 paper). The work is most often cited by research in Clinical Biochemistry (43 citations), Molecular Biology (144 citations), Cancer Research (22 citations), Aging (2 citations) and Developmental Neuroscience (3 citations). Anna Pellattiero has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Luca Scorrano, Paolo Bernardi, María Eugenia Soriano, Enrique Calvo, Jesús Vázquez, Rubén Quintana–Cabrera, Christina Glytsou, Christoph Gerle, Mauro Corrado and Andrea Urbani. Their work appears in journals such as Science Advances, Cell Death and Disease, Redox Biology, Nature Communications and Padua@research (University of Padova).
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.