Hae In Lee

504 total citations
29 papers, 347 citations indexed

About

Hae In Lee is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hae In Lee has authored 29 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hae In Lee's work include Laser Applications in Dentistry and Medicine (4 papers), Photoreceptor and optogenetics research (3 papers) and Stroke Rehabilitation and Recovery (3 papers). Hae In Lee is often cited by papers focused on Laser Applications in Dentistry and Medicine (4 papers), Photoreceptor and optogenetics research (3 papers) and Stroke Rehabilitation and Recovery (3 papers). Hae In Lee collaborates with scholars based in South Korea, United States and Singapore. Hae In Lee's co-authors include Byung Tae Choi, Hwa Kyoung Shin, Nam Gyun Kim, Yong‐Il Shin, Sae‐Won Lee, Kyungchul Song, Ho-Seong Kim, Hyun Wook Chae, Junghwan Suh and Ahreum Kwon and has published in prestigious journals such as Biochemical and Biophysical Research Communications, The Journal of Pediatrics and Frontiers in Psychology.

In The Last Decade

Hae In Lee

26 papers receiving 337 citations

Peers

Hae In Lee

RNMI

EPIDE

EDM

PHYSI

Jennifer A. Macfarlane United Kingdom

Huan Sun China

Jolanta Kujawa Poland

Qian Wu China

Tsyh-Jyi Hsieh Taiwan

Elżbieta Trypka Poland

Akiko Araki Japan

Patrizia Perrone Italy

Prabhjot Kaur India

Akira Imai Japan

Jennifer A. Macfarlane United Kingdom

Hae In Lee

63 ×0.6

RNMI

93 ×1.6

EPIDE

61 ×1.4

EDM

13 ×0.3

PHYSI

42 ×1.0

Citations per year, relative to Hae In Lee Hae In Lee (= 1×) peers Jennifer A. Macfarlane

Countries citing papers authored by Hae In Lee

Since Specialization

Citations

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

Fields of papers citing papers by Hae In Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hae In Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hae In Lee. A scholar is included among the top collaborators of Hae In 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 Hae In Lee. Hae In 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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20 of 20 papers shown

Kwon, Ahreum, Kyungchul Song, Hae In Lee, et al.. (2024). Effectiveness and safety of pamidronate treatment in nonambulatory children with low bone mineral density. Annals of Pediatric Endocrinology & Metabolism. 29(1). 46–53.

Suh, Junghwan, Sujin Kim, Mo Kyung Jung, et al.. (2023). Bone Age Estimation and Prediction of Final Adult Height Using Deep Learning. Yonsei Medical Journal. 64(11). 679–679. 9 indexed citations

Kim, Sujin, Hae In Lee, Ahreum Kwon, et al.. (2023). Comparison of the effect of gonadotropin-releasing hormone agonist dosage in girls with central precocious puberty. Annals of Pediatric Endocrinology & Metabolism. 28(4). 283–288.

Kim, Sujin, Hae In Lee, Ahreum Kwon, et al.. (2023). Neurocognitive and psychosocial profiles of children with Turner syndrome. Annals of Pediatric Endocrinology & Metabolism. 28(4). 258–266. 3 indexed citations

Choi, Youngha, Sujin Kim, Hae In Lee, et al.. (2023). Effect of catch-up sleep on obesity in Korean adolescents: a nationwide cross-sectional study. Frontiers in Pediatrics. 11. 1213558–1213558. 9 indexed citations

Kwon, Ahreum, Sujin Kim, Youngha Choi, et al.. (2023). Effects of Early Wake-Up Time on Obesity in Adolescents. Childhood Obesity. 20(3). 188–197.

Song, Kyungchul, Goeun Park, Hye Sun Lee, et al.. (2022). Trends in Prediabetes and Non-Alcoholic Fatty Liver Disease Associated with Abdominal Obesity among Korean Children and Adolescents: Based on the Korea National Health and Nutrition Examination Survey between 2009 and 2018. Biomedicines. 10(3). 584–584. 20 indexed citations

Lee, Hae In, Kyungchul Song, Han Saem Choi, et al.. (2022). Association of hypercalciuria with vitamin D supplementation in patients undergoing ketogenic dietary therapy. Frontiers in Nutrition. 9. 970467–970467. 3 indexed citations

Suh, Junghwan, Hae In Lee, Kyungchul Song, et al.. (2022). Insulin Requirement and Complications Associated With Serum C-Peptide Decline in Patients With Type 1 Diabetes Mellitus During 15 Years After Diagnosis. Frontiers in Endocrinology. 13. 869204–869204. 10 indexed citations

10.

Song, Kyungchul, Goeun Park, Hye Sun Lee, et al.. (2021). Comparison of the Triglyceride Glucose Index and Modified Triglyceride Glucose Indices to Predict Nonalcoholic Fatty Liver Disease in Youths. The Journal of Pediatrics. 242. 79–85.e1. 31 indexed citations

11.

Lee, Hae In, Ahreum Kwon, Junghwan Suh, et al.. (2021). Two cases of 17α-hydroxylase/17,20-lyase deficiency caused by the CYP17A1 mutation. Annals of Pediatric Endocrinology & Metabolism. 26(1). 66–70. 2 indexed citations

12.

Suh, Junghwan, Kyungchul Song, Ahreum Kwon, et al.. (2021). Next-generation sequencing-based mutational analysis of idiopathic short stature and isolated growth hormone deficiency in Korean pediatric patients. Molecular and Cellular Endocrinology. 544. 111489–111489. 9 indexed citations

13.

Lee, Hae In, et al.. (2021). Cultural Variability in the Attribute Framing Effect. Frontiers in Psychology. 12. 754265–754265. 7 indexed citations

14.

Han, Junhee, Hae In Lee, Yong‐Il Shin, et al.. (2019). Factors influencing return to work after stroke: the Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO) Study. BMJ Open. 9(7). e028673–e028673. 27 indexed citations

15.

Shin, Yong‐Il, Soo-Yeon Kim, Hae In Lee, et al.. (2018). Association Between Spasticity and Functional Impairments During the First Year After Stroke in Korea. American Journal of Physical Medicine & Rehabilitation. 97(8). 557–564. 9 indexed citations

16.

Lee, Hae In, Sae‐Won Lee, So Young Kim, et al.. (2017). Pretreatment with light-emitting diode therapy reduces ischemic brain injury in mice through endothelial nitric oxide synthase-dependent mechanisms. Biochemical and Biophysical Research Communications. 486(4). 945–950. 24 indexed citations

17.

Lee, Hae In, Sae‐Won Lee, Nam Gyun Kim, et al.. (2017). Low‐level light emitting diode (LED) therapy suppresses inflammasome‐mediated brain damage in experimental ischemic stroke. Journal of Biophotonics. 10(11). 1502–1513. 46 indexed citations

18.

Lee, Hae In, Sae‐Won Lee, Nam Gyun Kim, et al.. (2017). Low‐level light emitting diode therapy promotes long–term functional recovery after experimental stroke in mice. Journal of Biophotonics. 10(12). 1761–1771. 17 indexed citations

19.

Kim, Eun Joo, et al.. (2015). Longitudinal Change and Associated Factors of Post-stroke Depression -A Prospective Follow-up Study-. 19(4). 225–240. 2 indexed citations

20.

Lee, Hae In, et al.. (2014). Unpacking East–West Differences in the Extent of Self‐Enhancement from the Perspective of Face versus Dignity Culture. Social and Personality Psychology Compass. 8(7). 314–327. 22 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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