Mar Tintoré
- Pathology and Forensic Medicine top 0.02%
- Multiple Sclerosis Research Studies 190
- Systemic Sclerosis and Related Diseases 20
- Neurology top 0.1%
- Peripheral Neuropathies and Disorders 77
- Rheumatology top 0.2%
- Systemic Lupus Erythematosus Research 52
- Rheumatoid Arthritis Research and Therapies 29
- Developmental Neuroscience top 1%
- Neurology top 1%
- Peripheral Neuropathies and Disorders 77
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- Polyomavirus and related diseases 30
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- Fibromyalgia and Chronic Fatigue Syndrome Research 9
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- Immunotherapy and Immune Responses 8
Mar Tintoré
232 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Pathology and Forensic Medicine 8.4k
- Neurology 3.8k
- Rheumatology 2.6k
- Developmental Neuroscience 361
- Neurology 651
Countries citing papers authored by Mar Tintoré
This map shows the geographic impact of Mar Tintoré'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 Mar Tintoré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mar Tintoré more than expected).
Fields of papers citing papers by Mar Tintoré
This network shows the impact of papers produced by Mar Tintoré. 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 Mar Tintoré. The network helps show where Mar Tintoré may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mar Tintoré, 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 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 21 | |
| 9 | 2020 | 94 | |
| 10 | 2019 | 18 | |
| 11 | 2017 | 11 | |
| 12 | MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process (vol 11, pg 471, 2015) | 2015 | 0 |
| 13 | 2015 | 299 | |
| 14 | 2014 | 4 | |
| 15 | 2013 | 48 | |
| 16 | 2012 | 187 | |
| 17 | 2011 | 23 | |
| 18 | 2010 | 179 | |
| 19 | Faux arrêts par troubles de la diffusion et rétrécissement du canal rachidien en scintigraphie des espaces sous-arachnoïdiens du rachis. | 1965 | 1 |
| 20 | Ostéolyse de la table externe et du diploé des pariétaux. | 1965 | 1 |
About Mar Tintoré
Mar Tintoré is a scholar working on Pathology and Forensic Medicine, Neurology, Rheumatology, Oncology and Immunology, having authored 239 papers that have together received 10.4k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (190 papers), Peripheral Neuropathies and Disorders (77 papers), Systemic Lupus Erythematosus Research (52 papers), Polyomavirus and related diseases (30 papers), Rheumatoid Arthritis Research and Therapies (29 papers), Systemic Sclerosis and Related Diseases (20 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (9 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (8.4k citations), Neurology (3.8k citations), Rheumatology (2.6k citations), Developmental Neuroscience (361 citations) and Neurology (651 citations). Mar Tintoré has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Xavier Montalbán, Àlex Rovira, Jordi Río, Jaume Sastre‐Garriga, Carlos Nos, Manuel Comabella, Ingrid Galán, Ángela Vidal‐Jordana, Ralf Gold and Cristina Auger. Their work appears in journals such as Multiple Sclerosis Journal, Neurology, Journal of Neurology, American Journal of Neuroradiology and Annals 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.