Paula Alcaide‐Leon
Impact in
Papers in
-
- MRI in cancer diagnosis 10
- Advanced MRI Techniques and Applications 9
- Advanced Neuroimaging Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 6
- Genetics 12
- Glioma Diagnosis and Treatment 12
- Co-authors
- Aditya Bharatha (10 shared papers)Jiwon Oh (5 shared papers)Courtney Casserly (4 shared papers)Timo Krings (4 shared papers)Walter Montanera (2 shared papers)Daniel M. Mandell (2 shared papers)Pejman Maralani (3 shared papers)Lyne Noël de Tilly (3 shared papers)
- Journals
- American Journal of Neuroradiology (5 papers)Neuro-Oncology (3 papers)Journal of Neuro-Oncology (2 papers)Neurology (2 papers)Scientific Reports (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Paula Alcaide‐Leon
31 papers receiving 488 citations
Peers
Comparison fields: 5 of 68
- Genetics 164
- Neurology 156
- Radiology, Nuclear Medicine and Imaging 231
- Pathology and Forensic Medicine 146
- Neurology 47
Countries citing papers authored by Paula Alcaide‐Leon
This map shows the geographic impact of Paula Alcaide‐Leon'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 Paula Alcaide‐Leon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Alcaide‐Leon more than expected).
Fields of papers citing papers by Paula Alcaide‐Leon
This network shows the impact of papers produced by Paula Alcaide‐Leon. 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 Paula Alcaide‐Leon. The network helps show where Paula Alcaide‐Leon may publish in the future.
Co-authors
The 25 scholars most cited alongside Paula Alcaide‐Leon, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 76 | |
| 2 | 2017 | 57 | |
| 3 | 2018 | 40 | |
| 4 | 2021 | 39 | |
| 5 | 2015 | 37 | |
| 6 | 2017 | 32 | |
| 7 | 2016 | 31 | |
| 8 | 2015 | 26 | |
| 9 | 2017 | 25 | |
| 10 | 2016 | 15 | |
| 11 | 2016 | 15 | |
| 12 | 2022 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2019 | 6 |
About Paula Alcaide‐Leon
Paula Alcaide‐Leon is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Neurology, Epidemiology and Pathology and Forensic Medicine, having authored 31 papers that have together received 498 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), MRI in cancer diagnosis (10 papers), Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Meningioma and schwannoma management (3 papers), Multiple Sclerosis Research Studies (3 papers) and Neurosurgical Procedures and Complications (3 papers). The work is most often cited by research in Genetics (164 citations), Neurology (156 citations), Radiology, Nuclear Medicine and Imaging (231 citations), Pathology and Forensic Medicine (146 citations) and Neurology (47 citations). Paula Alcaide‐Leon has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Aditya Bharatha, Jiwon Oh, Courtney Casserly, Timo Krings, Walter Montanera, Daniel M. Mandell, Pejman Maralani, Lyne Noël de Tilly, Paul Dufort and Melanie Guenette. Their work appears in journals such as American Journal of Neuroradiology, Neuro-Oncology, Journal of Neuro-Oncology, Neurology and Scientific Reports.
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.