Daniel Ontaneda

6.2k citations
153 papers · 2.8k · h-index 31

Impact in

Papers in

Daniel Ontaneda

142 papers receiving 2.8k citations

Peers

Daniel Ontaneda
Comparison fields: 5 of 125
  • Pathology and Forensic Medicine 1.9k
  • Developmental Neuroscience 146
  • Neurology 475
  • Neurology 216
  • Rheumatology 243
Replace Paola Perini with:
Paola Perini Italy
Robert Bermel United States
Ángela Vidal‐Jordana Spain
Šarlota Mesaroš Serbia
Deepa P. Ramasamy United States
Dejan Jakimovski United States
Frank Dahlke Switzerland
Antonio Scalfari United Kingdom
Celia Oreja‐Guevara Spain
Jesper Hagemeier United States
Daniel Ontaneda relative to Paola Perini Italy Paola Perini's profile →
Citations per field
00.5×4.3×
Paola Perini · 1×
Citations per year

Countries citing papers authored by Daniel Ontaneda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel Ontaneda Line = papers co-authored together Daniel Ontaneda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016228
2 2015173
3 2010111
4 2018111
5 2019108
6 201780
7 202280
8 201570
9 201766
10 201165
11 201260
12 201956
13 201652
14 202051
15 202047
16 201647
17 201344
18 201844
19 202143
20 201843

About Daniel Ontaneda

Daniel Ontaneda is a scholar working on Pathology and Forensic Medicine, Neurology, Rheumatology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 153 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (110 papers), Peripheral Neuropathies and Disorders (16 papers), Rheumatoid Arthritis Research and Therapies (9 papers), Polyomavirus and related diseases (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Viral Infections and Immunology Research (6 papers), Systemic Sclerosis and Related Diseases (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.9k citations), Developmental Neuroscience (146 citations), Neurology (475 citations), Neurology (216 citations) and Rheumatology (243 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 Journal, Multiple Sclerosis and Related Disorders, 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.

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