María Martínez-Lage
- Genetics top 0.5%
- Glioma Diagnosis and Treatment 34
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research 7
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 7
-
- Radiomics and Machine Learning in Medical Imaging 10
- MRI in cancer diagnosis 7
- Health Informatics top 5%
-
- Meningioma and schwannoma management 9
-
- Brain Metastases and Treatment 8
-
- Pituitary Gland Disorders and Treatments 6
-
- CAR-T cell therapy research 5
- Co-authors
- John Q. TrojanowskiVirginia M.‐Y. LeeFelix GeserLinda K. KwongDonald M. O’RourkeRonald L. WolfHamed AkbariChristos Davatzikos
- Journals
- New England Journal of Medicine (4 papers)Journal of Clinical Oncology (1 paper)Blood (1 paper)
- Partner nations
- United StatesGermanySpain
In The Last Decade
María Martínez-Lage
75 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 122
- Genetics 1.3k
- Neurology 1.2k
- Neurology 374
- Radiology, Nuclear Medicine and Imaging 772
- Health Informatics 38
Countries citing papers authored by María Martínez-Lage
This map shows the geographic impact of María Martínez-Lage'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 María Martínez-Lage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Martínez-Lage more than expected).
Fields of papers citing papers by María Martínez-Lage
This network shows the impact of papers produced by María Martínez-Lage. 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 María Martínez-Lage. The network helps show where María Martínez-Lage may publish in the future.
Co-authorship network
The 25 scholars most cited alongside María Martínez-Lage, 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 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 1 | |
| 9 | 2019 | 61 | |
| 10 | 2019 | 160 | |
| 11 | 2019 | 26 | |
| 12 | 2018 | 1 | |
| 13 | 2017 | 63 | |
| 14 | 2016 | 16 | |
| 15 | 2016 | 43 | |
| 16 | 2016 | 48 | |
| 17 | 2015 | 24 | |
| 18 | 2013 | 10 | |
| 19 | 2013 | 80 | |
| 20 | 2012 | 35 |
About María Martínez-Lage
María Martínez-Lage is a scholar working on Genetics, Neurology and Structural Biology, having authored 84 papers that have together received 3.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (34 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Meningioma and schwannoma management (9 papers), Brain Metastases and Treatment (8 papers), MRI in cancer diagnosis (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers), Pituitary Gland Disorders and Treatments (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Genetics (1.3k citations), Neurology (1.2k citations) and Neurology (374 citations). María Martínez-Lage has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include John Q. Trojanowski, Virginia M.‐Y. Lee, Felix Geser, Linda K. Kwong, Donald M. O’Rourke, Ronald L. Wolf, Hamed Akbari, Christos Davatzikos, Leo McCluskey and Eugenia Martínez‐Hernández. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.
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.