Debora Grasso
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- RNA modifications and cancer
- Metabolism, Diabetes, and Cancer
- Epigenetics and DNA Methylation
Papers in
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- Cancer, Hypoxia, and Metabolism 4
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- Mitochondrial Function and Pathology 4
- ATP Synthase and ATPases Research 2
- RNA modifications and cancer 1
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Pierre Sonveaux (6 shared papers)Luca X. Zampieri (4 shared papers)Tânia Capelôa (1 shared paper)Pierre Danhier (2 shared papers)Luigi Ippolito (1 shared paper)Valéry L. Payen (1 shared paper)Piotr Bański (1 shared paper)Paolo Ettore Porporato (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Bioenergetics (1 paper)International Journal of Molecular Sciences (1 paper)Frontiers in Pharmacology (1 paper)Molecular Cancer Research (1 paper)Oncotarget (1 paper)
- Partner nations
- BelgiumFranceNetherlands
In The Last Decade
Debora Grasso
6 papers receiving 474 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 234
- Molecular Biology 294
- Geriatrics and Gerontology 11
- Oncology 71
- Biochemistry 17
Countries citing papers authored by Debora Grasso
This map shows the geographic impact of Debora Grasso'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 Debora Grasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Grasso more than expected).
Fields of papers citing papers by Debora Grasso
This network shows the impact of papers produced by Debora Grasso. 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 Debora Grasso. The network helps show where Debora Grasso may publish in the future.
Co-authors
The 25 scholars most cited alongside Debora Grasso, 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 | 2020 | 177 | |
| 2 | 2017 | 175 | |
| 3 | 2020 | 53 | |
| 4 | 2017 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 24 |
About Debora Grasso
Debora Grasso is a scholar working on Cancer Research, Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 6 papers that have together received 480 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), ATP Synthase and ATPases Research (2 papers), Glioma Diagnosis and Treatment (1 paper), RNA modifications and cancer (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Medical Imaging Techniques and Applications (1 paper) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Cancer Research (234 citations), Molecular Biology (294 citations), Geriatrics and Gerontology (11 citations), Oncology (71 citations) and Biochemistry (17 citations). Debora Grasso has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Pierre Sonveaux, Luca X. Zampieri, Tânia Capelôa, Pierre Danhier, Luigi Ippolito, Valéry L. Payen, Piotr Bański, Paolo Ettore Porporato, Davide Brusa and Caroline Bouzin. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, International Journal of Molecular Sciences, Frontiers in Pharmacology, Molecular Cancer Research and Oncotarget.
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.