Isabel Padrón

721 citations
16 papers · 541 · h-index 10

Impact in

Papers in

Isabel Padrón

16 papers receiving 518 citations

Peers

Isabel Padrón
Comparison fields: 5 of 57
  • Experimental and Cognitive Psychology 246
  • Cognitive Neuroscience 223
  • Social Psychology 187
  • Developmental and Educational Psychology 87
  • Neuropsychology and Physiological Psychology 7
Replace Tiina M. Eilola with:
Tiina M. Eilola United Kingdom
Kazuo Mori Japan
Annelies Vredeveldt Netherlands
Jaime Redondo Spain
Lawrence Locker United States
Matthew Moreno Canada
Thorsten Kolling Germany
Ruth M. Ford United Kingdom
Adam L. Putnam United States
Craig Thorley United Kingdom
Isabel Padrón relative to Tiina M. Eilola United Kingdom Tiina M. Eilola's profile →
Citations per field
00.5×3.2×
Tiina M. Eilola · 1×
Citations per year

Countries citing papers authored by Isabel Padrón

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Padrón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Isabel Padrón, 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 Isabel Padrón Line = papers co-authored together Isabel Padrón links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2007270
2 202188
3 201842
4 200842
5 201719
6 202117
7 202112
8 201912
9 201612
10 20169
11 20234
12 20244
13 20114
14 20242
15 20152
16 20222

About Isabel Padrón

Isabel Padrón is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Social Psychology and Clinical Psychology, having authored 16 papers that have together received 541 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (9 papers), Neural and Behavioral Psychology Studies (9 papers), Reading and Literacy Development (6 papers), EEG and Brain-Computer Interfaces (3 papers), Neural dynamics and brain function (2 papers), Language, Metaphor, and Cognition (2 papers), COVID-19 and Mental Health (2 papers) and Color perception and design (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (246 citations), Cognitive Neuroscience (223 citations), Social Psychology (187 citations), Developmental and Educational Psychology (87 citations) and Neuropsychology and Physiological Psychology (7 citations). Isabel Padrón has collaborated with scholars based in Spain and Portugal. Frequent co-authors include Isabel Fraga, Jaime Redondo, Montserrat Comesaña, Estrella Romero, Pilar Ferré, Juan Haro, Carlos Acuña-Fariña, Marc Guasch, José Antonio Hinojosa and Marcos Díaz‐Lago. Their work appears in journals such as Behavior Research Methods, Language Cognition and Neuroscience, Frontiers in Psychology, Cognition & Emotion and Neuroscience.

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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