Jun Ren Lee

1.5k citations
14 papers · 1.1k · h-index 8

Impact in

Papers in

Jun Ren Lee

14 papers receiving 1.0k citations

Peers

Jun Ren Lee
Comparison fields: 5 of 57
  • Developmental and Educational Psychology 796
  • Cognitive Neuroscience 749
  • Statistics and Probability 329
  • Experimental and Cognitive Psychology 125
  • Psychiatry and Mental health 88
Replace Ola Ozernov‐Palchik with:
Ola Ozernov‐Palchik United States
Christopher Gatenby United States
Claudia Steinbrink Germany
Eileen M. Napoliello United States
Marie Lallier Spain
Ann Meyler United States
Hazel I. Blythe United Kingdom
Catherine Pech‐Georgel France
Hanne Poelmans Belgium
Xiangzhi Meng China
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Citations per field
00.5×1.5×2.2×
Ola Ozernov‐Palchik · 1×
Citations per year

Countries citing papers authored by Jun Ren Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ren Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Ren Lee. 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 Jun Ren Lee. The network helps show where Jun Ren Lee may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2000460
2 2001398
3 200148
4 200847
5 201534
6 201131
7 200025
8
Dyslexia across languages : orthography and the brain-gene-behavior link
201118
9 20106
10 20246
11 20242
12 20002
13 20241
14 20171

About Jun Ren Lee

Jun Ren Lee is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Statistics and Probability, Experimental and Cognitive Psychology and Education, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reading and Literacy Development (10 papers), Cognitive and developmental aspects of mathematical skills (6 papers), Neurobiology of Language and Bilingualism (4 papers), Writing and Handwriting Education (3 papers), Memory Processes and Influences (2 papers), Neural and Behavioral Psychology Studies (2 papers), Cognitive Functions and Memory (1 paper) and Second Language Acquisition and Learning (1 paper). The work is most often cited by research in Developmental and Educational Psychology (796 citations), Cognitive Neuroscience (749 citations), Statistics and Probability (329 citations), Experimental and Cognitive Psychology (125 citations) and Psychiatry and Mental health (88 citations). Jun Ren Lee has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Sally E. Shaywitz, W. Einar Mencl, Leonard Katz, Annette R. Jenner, Bennett A. Shaywitz, Kenneth R. Pugh, Stephen J. Frost, Ovid J. L. Tzeng, Daisy L. Hung and Shih-kuen Cheng. Their work appears in journals such as Mental Retardation and Developmental Disabilities Research Reviews, Neuroreport, Journal of Experimental Child Psychology, Reading Research Quarterly and New Directions for Child and Adolescent Development.

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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