Kejin Lee

620 total citations · 1 hit paper
17 papers, 373 citations indexed

About

Kejin Lee is a scholar working on Developmental and Educational Psychology, Social Psychology and Management Science and Operations Research. According to data from OpenAlex, Kejin Lee has authored 17 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental and Educational Psychology, 4 papers in Social Psychology and 4 papers in Management Science and Operations Research. Recurrent topics in Kejin Lee's work include Reading and Literacy Development (5 papers), Psychometric Methodologies and Testing (4 papers) and Cognitive and developmental aspects of mathematical skills (3 papers). Kejin Lee is often cited by papers focused on Reading and Literacy Development (5 papers), Psychometric Methodologies and Testing (4 papers) and Cognitive and developmental aspects of mathematical skills (3 papers). Kejin Lee collaborates with scholars based in United States, South Korea and Canada. Kejin Lee's co-authors include Peng Peng, Jessica M. Namkung, Zehra E. Ünal, Jason C. Chow, Xin Lin, Adam Sales, Jie Luo, Sha Tao, R. Malatesha Joshi and Wei Wang and has published in prestigious journals such as Psychological Bulletin, PEDIATRICS and Journal of Educational Psychology.

In The Last Decade

Kejin Lee

15 papers receiving 361 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Examining the mutual relations between language and mathematics: A meta-analysis.

2020 161 citations Peng Peng, Xin Lin et al. Psychological Bulletin profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kejin Lee United States	8	227	152	149	75	45	17	373
Garrett J. Roberts United States	15	415 1.8×	143 0.9×	210 1.4×	88 1.2×	24 0.5×	34	496
Isabel Gómez Veiga Spain	11	217 1.0×	88 0.6×	145 1.0×	109 1.5×	88 2.0×	29	399
Philip Capin United States	15	398 1.8×	161 1.1×	250 1.7×	56 0.7×	53 1.2×	42	557
Callie W. Little United States	13	195 0.9×	72 0.5×	232 1.6×	68 0.9×	81 1.8×	36	449
Anne F. Zaslofsky United States	13	314 1.4×	253 1.7×	208 1.4×	61 0.8×	24 0.5×	20	453
Josefine Karlsson Netherlands	6	212 0.9×	54 0.4×	105 0.7×	86 1.1×	69 1.5×	6	336
Linda Fälth Sweden	9	236 1.0×	65 0.4×	145 1.0×	55 0.7×	20 0.4×	46	349
Deborah Evans United Kingdom	12	154 0.7×	139 0.9×	183 1.2×	34 0.5×	29 0.6×	20	360
Susan Courey United States	8	161 0.7×	161 1.1×	252 1.7×	52 0.7×	35 0.8×	14	428
Adrea J. Truckenmiller United States	12	442 1.9×	119 0.8×	287 1.9×	68 0.9×	16 0.4×	43	562

Countries citing papers authored by Kejin Lee

Since Specialization

Citations

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

Fields of papers citing papers by Kejin Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kejin Lee. A scholar is included among the top collaborators of Kejin Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kejin Lee. Kejin Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Lee, Kejin, et al.. (2025). The Incidence and Burden of Peripheral Neuropathy in Pediatric Oncology Patients Receiving Levofloxacin and Vincristine Compared With Vincristine Alone. Journal of Pediatric Hematology/Oncology. 47(7). e292–e296.

Seo, Eunjin, You‐kyung Lee, Rebecca R. Steingut, Edna C. Alfaro, & Kejin Lee. (2024). Testing the generalizability of the multiplicative effects of expectancy and value across different ages, genders, and races. Learning and Individual Differences. 116. 102578–102578.

Namkung, Jessica M., J. Marc Goodrich, & Kejin Lee. (2023). The factor structure of mathematics anxiety and its relation to gender and mathematics performance. Psychology in the Schools. 60(11). 4740–4757. 4 indexed citations

Patall, Erika A., et al.. (2023). A meta-analysis of teachers’ provision of structure in the classroom and students’ academic competence beliefs, engagement, and achievement. Educational Psychologist. 59(1). 42–70. 17 indexed citations

Clemens, Nathan H., et al.. (2023). The relations of kindergarten early literacy skill trajectories on common progress monitoring measures to subsequent word reading skills for students at risk for reading difficulties.. Journal of Educational Psychology. 115(8). 1045–1069. 2 indexed citations

Tripathi, Sandeep, Kejin Lee, Patricia Sisson, et al.. (2023). Compliance With Central Line Maintenance Bundle and Infection Rates. PEDIATRICS. 152(3). 5 indexed citations

Peng, Peng, Zheng Zhang, Wei Wang, et al.. (2022). A meta-analytic review of cognition and reading difficulties: Individual differences, moderation, and language mediation mechanisms.. Psychological Bulletin. 148(3-4). 227–272. 42 indexed citations

Lee, Kejin & S. Natasha Beretvas. (2022). An Evaluation of Methods for Meta-Analytic Structural Equation Modeling. Structural Equation Modeling A Multidisciplinary Journal. 29(5). 703–715. 2 indexed citations

Kuo, Patty X., et al.. (2022). Investigating moderators of daily marital to parent–child spillover: Individual and family systems approaches. Family Relations. 72(4). 1675–1693. 7 indexed citations

10.

Plonsky, Luke, et al.. (2022). Applying meta-analytic structural equation modeling to second language research: An introduction. Research Methods in Applied Linguistics. 1(3). 100018–100018. 9 indexed citations

11.

Wang, Yingying, et al.. (2021). Meta-Analytic Findings on Reading in Children With Cochlear Implants. The Journal of Deaf Studies and Deaf Education. 26(3). 336–350. 24 indexed citations

12.

Peng, Peng, Xin Lin, Zehra E. Ünal, et al.. (2020). Examining the mutual relations between language and mathematics: A meta-analysis.. Psychological Bulletin. 146(7). 595–634. 161 indexed citations breakdown →

13.

Clemens, Nathan H., et al.. (2020). Growth on sublexical fluency progress monitoring measures in early kindergarten and relations to word reading acquisition. Journal of School Psychology. 79. 43–62. 12 indexed citations

14.

Clemens, Nathan H., et al.. (2020). The Differential Importance of Component Skills on Reading Comprehension Test Performance Among Struggling Adolescent Readers. Journal of Learning Disabilities. 54(3). 155–169. 15 indexed citations

15.

Falbo, Toni, et al.. (2020). Culture Moderates the Relationship between Family Obligation Values and the Outcomes of Korean and European American College Students. Journal of Cross-Cultural Psychology. 51(6). 511–525. 5 indexed citations

16.

Peng, Peng, et al.. (2020). Simple View of Reading in Chinese: A One-Stage Meta-Analytic Structural Equation Modeling. Review of Educational Research. 91(1). 3–33. 62 indexed citations

17.

Lee, Kejin & Tiffany A. Whittaker. (2018). Statistical Power of the Multiple Domain Latent Growth Model for Detecting Group Differences. Structural Equation Modeling A Multidisciplinary Journal. 25(5). 700–714. 6 indexed citations

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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