Maya Yablonski

616 citations
20 papers · 400 · h-index 10

Impact in

    • Tryptophan and brain disorders
    • Neurobiology of Language and Bilingualism
    • Face Recognition and Perception
    • Visual perception and processing mechanisms
    • Functional Brain Connectivity Studies

Papers in

Maya Yablonski

18 papers receiving 397 citations

Peers

Maya Yablonski
Comparison fields: 5 of 69
  • Biological Psychiatry 49
  • Cognitive Neuroscience 199
  • Behavioral Neuroscience 32
  • Developmental and Educational Psychology 78
  • Radiology, Nuclear Medicine and Imaging 83
Replace Sara Ambrosino with:
Sara Ambrosino Italy
Roman Buechler Switzerland
Kelsey L. Canada United States
Roberto Limongi Canada
Sunyoung Choi South Korea
Brianna Jeska United States
Katalin Vladar United States
Anais Harneit Germany
Douglass Godwin United States
Karina Tatu Italy
Maya Yablonski relative to Sara Ambrosino Italy Sara Ambrosino's profile →
Citations per field
00.5×4.6×
Sara Ambrosino · 1×
Citations per year

Countries citing papers authored by Maya Yablonski

Since Specialization
Citations

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

Fields of papers citing papers by Maya Yablonski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201668
2 201366
3 200165
4 202143
5 201731
6 201831
7 201923
8 202121
9 201613
10 202011
11 20248
12 20206
13 20195
14 20233
15 20252
16 20242
17 20241
18 20251
19 20250
20 20250

About Maya Yablonski

Maya Yablonski is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 400 indexed citations. Recurring topics across this work include Reading and Literacy Development (8 papers), Neurobiology of Language and Bilingualism (8 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Advanced MRI Techniques and Applications (3 papers), Neural and Behavioral Psychology Studies (2 papers), Fetal and Pediatric Neurological Disorders (2 papers), Face Recognition and Perception (2 papers) and Text Readability and Simplification (2 papers). The work is most often cited by research in Biological Psychiatry (49 citations), Cognitive Neuroscience (199 citations), Behavioral Neuroscience (32 citations), Developmental and Educational Psychology (78 citations) and Radiology, Nuclear Medicine and Imaging (83 citations). Maya Yablonski has collaborated with scholars based in United States, Israel and Spain. Frequent co-authors include Michal Ben‐Shachar, Jason D. Yeatman, Iliana I. Karipidis, Sendy Caffarra, Ido Tavor, Galit Yovel, Aviv Mezer, Yaniv Assaf, Joanne Taylor and Kathleen Rastle. Their work appears in journals such as Cortex, NeuroImage, The Mental Lexicon, Scientific Reports and Nature Communications.

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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