Martina Giordano
- Neurology top 10%
- Neurological disorders and treatments 4
- Neurosurgical Procedures and Complications 2
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- Glioma Diagnosis and Treatment 9
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- Neurological disorders and treatments 4
- Neurosurgical Procedures and Complications 2
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- Genetic Neurodegenerative Diseases 3
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- Head and Neck Surgical Oncology 5
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- Meningioma and schwannoma management 5
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- Pituitary Gland Disorders and Treatments 4
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- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Valerio Maria CaccavellaAlessandro OliviNicola MontanoFilippo Maria PolliIsmail ZaedFrancesco SignorelliLiverana LaurettiQuintino Giorgio D’Alessandris
- Cited by
- NeurologyHealth InformaticsGenetics
- Journals
- SHILAP Revista de lepidopterología (2 papers)International Journal of Molecular Sciences (1 paper)Journal of Neurology Neurosurgery & Psychiatry (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Martina Giordano
35 papers receiving 379 citations
Peers
Comparison fields: 5 of 73
- Neurology 123
- Health Informatics 8
- Genetics 53
- Neurology 30
- Cellular and Molecular Neuroscience 64
Countries citing papers authored by Martina Giordano
This map shows the geographic impact of Martina Giordano'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 Martina Giordano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Giordano more than expected).
Fields of papers citing papers by Martina Giordano
This network shows the impact of papers produced by Martina Giordano. 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 Martina Giordano. The network helps show where Martina Giordano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martina Giordano, 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 | 2024 | 3 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 32 | |
| 15 | 2020 | 14 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 53 | |
| 18 | 2020 | 2 | |
| 19 | 2020 | 36 | |
| 20 | 2018 | 32 |
About Martina Giordano
Martina Giordano is a scholar working on Genetics, Neurology and Neurology, having authored 35 papers that have together received 383 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Head and Neck Surgical Oncology (5 papers), Meningioma and schwannoma management (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Neurological disorders and treatments (4 papers), Genetic Neurodegenerative Diseases (3 papers) and Neurosurgical Procedures and Complications (2 papers). The work is most often cited by research in Neurology (123 citations), Health Informatics (8 citations) and Genetics (53 citations). Martina Giordano has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Valerio Maria Caccavella, Alessandro Olivi, Nicola Montano, Filippo Maria Polli, Ismail Zaed, Francesco Signorelli, Liverana Lauretti, Quintino Giorgio D’Alessandris, Eleonora Ioannoni and Vittorio Stumpo. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Neurology Neurosurgery & Psychiatry.
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.