Marta Padovan
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
- Genetics 42
- Glioma Diagnosis and Treatment 42
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- Brain Metastases and Treatment 13
- Co-authors
- Giuseppe Lombardi (42 shared papers)Mario Caccese (40 shared papers)Vittorina Zagonel (30 shared papers)Giulia Cerretti (24 shared papers)Alessia Pellerino (3 shared papers)Marina Paola Gardiman (7 shared papers)Matteo Fassan (5 shared papers)Alessandro Salvalaggio (6 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Cancers (5 papers)Annals of Oncology (4 papers)Frontiers in Oncology (3 papers)Anti-Cancer Drugs (3 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Marta Padovan
41 papers receiving 429 citations
Peers
Comparison fields: 5 of 63
- Genetics 282
- Cancer Research 76
- Radiology, Nuclear Medicine and Imaging 80
- Oncology 90
- Endocrinology, Diabetes and Metabolism 52
Countries citing papers authored by Marta Padovan
This map shows the geographic impact of Marta Padovan'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 Marta Padovan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Padovan more than expected).
Fields of papers citing papers by Marta Padovan
This network shows the impact of papers produced by Marta Padovan. 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 Marta Padovan. The network helps show where Marta Padovan may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Padovan, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 49 | |
| 2 | 2020 | 47 | |
| 3 | 2022 | 43 | |
| 4 | 2021 | 33 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2020 | 18 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 6 |
About Marta Padovan
Marta Padovan is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 435 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (42 papers), Brain Metastases and Treatment (13 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer Genomics and Diagnostics (5 papers), Meningioma and schwannoma management (5 papers), Pituitary Gland Disorders and Treatments (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Genetics (282 citations), Cancer Research (76 citations), Radiology, Nuclear Medicine and Imaging (80 citations), Oncology (90 citations) and Endocrinology, Diabetes and Metabolism (52 citations). Marta Padovan has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Giuseppe Lombardi, Mario Caccese, Vittorina Zagonel, Giulia Cerretti, Alessia Pellerino, Marina Paola Gardiman, Matteo Fassan, Alessandro Salvalaggio, Domenico D’Avella and Luca Denaro. Their work appears in journals such as Journal of Clinical Oncology, Cancers, Annals of Oncology, Frontiers in Oncology and Anti-Cancer Drugs.
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.