Lucia Nichelli
Impact in
-
- Glioma Diagnosis and Treatment
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- CNS Lymphoma Diagnosis and Treatment
- Neurofibromatosis and Schwannoma Cases
Papers in
- Co-authors
- Bertrand Mathon (18 shared papers)Khê Hoang‐Xuan (15 shared papers)Ahmed Idbaïh (6 shared papers)Marc Sanson (6 shared papers)Alessia Pellerino (2 shared papers)Stéphane Lehéricy (6 shared papers)Caroline Houillier (12 shared papers)Robert M. Verdijk (2 shared papers)
- Journals
- Journal of Neuro-Oncology (3 papers)Cancers (3 papers)Neurosurgical Review (3 papers)Neuro-Oncology (2 papers)European Journal of Neurology (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Lucia Nichelli
34 papers receiving 182 citations
Peers
Comparison fields: 5 of 37
- Genetics 57
- Neurology 41
- Pathology and Forensic Medicine 24
- Radiology, Nuclear Medicine and Imaging 29
- Pulmonary and Respiratory Medicine 22
Countries citing papers authored by Lucia Nichelli
This map shows the geographic impact of Lucia Nichelli'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 Lucia Nichelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia Nichelli more than expected).
Fields of papers citing papers by Lucia Nichelli
This network shows the impact of papers produced by Lucia Nichelli. 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 Lucia Nichelli. The network helps show where Lucia Nichelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucia Nichelli, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 37 | |
| 2 | 2023 | 15 | |
| 3 | 2017 | 14 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2025 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 2 |
About Lucia Nichelli
Lucia Nichelli is a scholar working on Genetics, Neurology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 183 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), CNS Lymphoma Diagnosis and Treatment (9 papers), Advanced MRI Techniques and Applications (7 papers), Medical Imaging Techniques and Applications (6 papers), Lanthanide and Transition Metal Complexes (6 papers), MRI in cancer diagnosis (3 papers), Fetal and Pediatric Neurological Disorders (3 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Genetics (57 citations), Neurology (41 citations), Pathology and Forensic Medicine (24 citations), Radiology, Nuclear Medicine and Imaging (29 citations) and Pulmonary and Respiratory Medicine (22 citations). Lucia Nichelli has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Bertrand Mathon, Khê Hoang‐Xuan, Ahmed Idbaïh, Marc Sanson, Alessia Pellerino, Stéphane Lehéricy, Caroline Houillier, Robert M. Verdijk, Nicolaus Andratschke and Małgorzata Marjańska. Their work appears in journals such as Journal of Neuro-Oncology, Cancers, Neurosurgical Review, Neuro-Oncology and European Journal of Neurology.
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.