Daniela Seixas

595 citations
30 papers · 430 · h-index 13

Impact in

    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies
    • Neurobiology of Language and Bilingualism
    • Peripheral Neuropathies and Disorders

Papers in

Daniela Seixas

26 papers receiving 421 citations

Peers

Daniela Seixas
Comparison fields: 5 of 90
  • Cognitive Neuroscience 147
  • Neurology 67
  • Radiology, Nuclear Medicine and Imaging 98
  • Marketing 37
  • Pathology and Forensic Medicine 62
Replace Xiaoming Lin with:
Xiaoming Lin China
Randall R. Rule United States
Rebecca J. McLean United Kingdom
Carrie L. Morris United States
Patrizia Perrone Italy
Hélène Kergoat Canada
Margarita Rodríguez Spain
Alok Bansal United States
Rune Brautaset Sweden
C. Lamirel France
Daniela Seixas relative to Xiaoming Lin China Xiaoming Lin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Seixas

Since Specialization
Citations

This map shows the geographic impact of Daniela Seixas'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 Daniela Seixas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Seixas more than expected).

Fields of papers citing papers by Daniela Seixas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Seixas. 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 Daniela Seixas. The network helps show where Daniela Seixas may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Seixas, 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 Daniela Seixas Line = papers co-authored together Daniela Seixas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201666
2 201346
3 201444
4 201135
5 201927
6 201626
7 202024
8 201220
9 201619
10 200617
11 201617
12 202313
13 201612
14 201210
15 20129
16 20038
17 20117
18 20147
19 20086
20 20114

About Daniela Seixas

Daniela Seixas is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Neurology, Pathology and Forensic Medicine and Physiology, having authored 30 papers that have together received 430 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Multiple Sclerosis Research Studies (5 papers), Functional Brain Connectivity Studies (4 papers), Peripheral Neuropathies and Disorders (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Creativity in Education and Neuroscience (2 papers), Face Recognition and Perception (2 papers) and Lysosomal Storage Disorders Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (147 citations), Neurology (67 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Marketing (37 citations) and Pathology and Forensic Medicine (62 citations). Daniela Seixas has collaborated with scholars based in Portugal, United Kingdom and Brazil. Frequent co-authors include Paulo Branco, São Luís Castro, Sofia Brandão, Irene Tracey, Deolinda Lima, Luiz Moutinho, Jacqueline Palace, Silvia Kovacs, Ronald Peeters and Isabel Ramos. Their work appears in journals such as Frontiers in Human Neuroscience, Cortex, Diabetes Technology & Therapeutics, Journal of the International AIDS Society and Journal of Neuroradiology.

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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