Daniel Ontaneda
- Pathology and Forensic Medicine top 0.5%
- Multiple Sclerosis Research Studies 113
- Systemic Sclerosis and Related Diseases 10
- Neurology top 2%
- Peripheral Neuropathies and Disorders 28
- Developmental Neuroscience top 5%
- Rheumatology top 2%
- Rheumatoid Arthritis Research and Therapies 14
- Systemic Lupus Erythematosus Research 10
- Neurology top 5%
- Peripheral Neuropathies and Disorders 28
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- Advanced Neuroimaging Techniques and Applications 13
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- Polyomavirus and related diseases 11
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- Autoimmune and Inflammatory Disorders Research 8
- Co-authors
- Robert J. FoxJeffrey A. CohenKunio NakamuraJeremy ChatawayAlan J. ThompsonGabrielle MacaronRobert BermelBruce D. Trapp
- Journals
- Neurology (23 papers)Multiple Sclerosis and Related Disorders (20 papers)Multiple Sclerosis Journal (20 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel Ontaneda
137 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 123
- Pathology and Forensic Medicine 1.9k
- Neurology 717
- Developmental Neuroscience 174
- Rheumatology 441
- Neurology 239
Countries citing papers authored by Daniel Ontaneda
This map shows the geographic impact of Daniel Ontaneda'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 Daniel Ontaneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ontaneda more than expected).
Fields of papers citing papers by Daniel Ontaneda
This network shows the impact of papers produced by Daniel Ontaneda. 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 Daniel Ontaneda. The network helps show where Daniel Ontaneda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Ontaneda, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 18 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 4 | |
| 15 | 2020 | 37 | |
| 16 | 2019 | 15 | |
| 17 | 2016 | 5 | |
| 18 | 2014 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2010 | 1 |
About Daniel Ontaneda
Daniel Ontaneda is a scholar working on Pathology and Forensic Medicine, Neurology and Developmental Neuroscience, having authored 144 papers that have together received 2.6k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (113 papers), Peripheral Neuropathies and Disorders (28 papers), Rheumatoid Arthritis Research and Therapies (14 papers), Advanced Neuroimaging Techniques and Applications (13 papers), Polyomavirus and related diseases (11 papers), Systemic Lupus Erythematosus Research (10 papers), Systemic Sclerosis and Related Diseases (10 papers) and Autoimmune and Inflammatory Disorders Research (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.9k citations), Neurology (717 citations) and Developmental Neuroscience (174 citations). Daniel Ontaneda has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robert J. Fox, Jeffrey A. Cohen, Kunio Nakamura, Jeremy Chataway, Alan J. Thompson, Gabrielle Macaron, Robert Bermel, Bruce D. Trapp, Moein Amin and Kedar Mahajan. Their work appears in journals such as Neurology, Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, The Lancet Neurology and Journal of Neuroimaging.
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.