Jang Jae Lee

1.1k total citations
36 papers, 558 citations indexed

About

Jang Jae Lee is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Jang Jae Lee has authored 36 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Psychiatry and Mental health, 13 papers in Cognitive Neuroscience and 10 papers in Physiology. Recurrent topics in Jang Jae Lee's work include Dementia and Cognitive Impairment Research (18 papers), Functional Brain Connectivity Studies (11 papers) and Alzheimer's disease research and treatments (10 papers). Jang Jae Lee is often cited by papers focused on Dementia and Cognitive Impairment Research (18 papers), Functional Brain Connectivity Studies (11 papers) and Alzheimer's disease research and treatments (10 papers). Jang Jae Lee collaborates with scholars based in South Korea, United States and Japan. Jang Jae Lee's co-authors include Kyu Yeong Choi, Kun Ho Lee, Byeong C. Kim, Goo‐Rak Kwon, Yubraj Gupta, Ho Yub Jung, Mee-Kyoung Son, Samsuddin Ahmed, Jae Gwan Kim and Jeonghwan Gwak and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cerebral Cortex.

In The Last Decade

Jang Jae Lee

33 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jang Jae Lee South Korea 14 195 176 121 110 104 36 558
Kanghan Oh South Korea 9 140 0.7× 100 0.6× 96 0.8× 94 0.9× 157 1.5× 19 461
Deepthi Rajashekar Canada 14 76 0.4× 137 0.8× 134 1.1× 126 1.1× 76 0.7× 35 636
Nguyen Thanh Duc South Korea 10 113 0.6× 73 0.4× 202 1.7× 138 1.3× 142 1.4× 16 557
Seungjun Ryu South Korea 8 95 0.5× 78 0.4× 110 0.9× 77 0.7× 74 0.7× 29 346
Vaanathi Sundaresan United Kingdom 9 115 0.6× 84 0.5× 86 0.7× 217 2.0× 56 0.5× 20 509
Chunlan Yang China 12 49 0.3× 78 0.4× 181 1.5× 253 2.3× 28 0.3× 37 528
Jianpeng Li China 10 43 0.2× 128 0.7× 136 1.1× 129 1.2× 11 0.1× 24 430
Xiangzhu Zeng China 12 44 0.2× 52 0.3× 96 0.8× 88 0.8× 41 0.4× 35 335
Minho Lee South Korea 11 61 0.3× 66 0.4× 94 0.8× 43 0.4× 39 0.4× 30 323
Rui Hui China 8 117 0.6× 16 0.1× 28 0.2× 125 1.1× 122 1.2× 9 396

Countries citing papers authored by Jang Jae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jang Jae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jang Jae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jang Jae Lee. A scholar is included among the top collaborators of Jang Jae 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 Jang Jae Lee. Jang Jae Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Minhee, Jang Jae Lee, Kyu Yeong Choi, et al.. (2025). Alteration of prefrontal functional connectivity in preclinical Alzheimer's disease: an fNIRS study. Frontiers in Aging Neuroscience. 17. 1507180–1507180.
2.
Lee, Jang Jae, et al.. (2024). Shear strength of steel fiber reinforced concrete exterior beam-column joints with various anchorage details under cyclic loading. Structures. 61. 105940–105940. 5 indexed citations
3.
Lee, Younghwa, Jang Jae Lee, Jungsoo Gim, et al.. (2023). Heritability of cognitive abilities and regional brain structures in middle-aged to elderly East Asians. Cerebral Cortex. 33(10). 6051–6062.
4.
Lee, Jang Jae, Younghwa Lee, Jungsoo Gim, et al.. (2023). Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. Bioinformatics. 39(9). 2 indexed citations
5.
Park, Jinhee, Jeonghwan Gwak, Byeong C. Kim, et al.. (2022). Individualized diagnosis of preclinical Alzheimer’s Disease using deep neural networks. Expert Systems with Applications. 210. 118511–118511. 13 indexed citations
6.
Nijenhuis, Jan te, Yu Yong Choi, Jang Jae Lee, et al.. (2022). Can hippocampal subfield measures supply information that could be used to improve the diagnosis of Alzheimer’s disease?. PLoS ONE. 17(11). e0275233–e0275233. 4 indexed citations
7.
Choi, Kyu Yeong, Jang Jae Lee, Yul‐Wan Sung, et al.. (2022). DeepParcellation: A novel deep learning method for robust brain magnetic resonance imaging parcellation in older East Asians. Frontiers in Aging Neuroscience. 14. 1027857–1027857. 2 indexed citations
8.
Kim, Jaewon, Dong Keon Yon, Kyu Yeong Choi, et al.. (2022). Novel diagnostic tools for identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy: patient-level, single-group, diagnostic trial. Alzheimer s Research & Therapy. 14(1). 39–39. 13 indexed citations
9.
Park, Jung Eun, Kyu Yeong Choi, Jang Jae Lee, et al.. (2021). Plasma contact factors as novel biomarkers for diagnosing Alzheimer’s disease. Biomarker Research. 9(1). 5–5. 14 indexed citations
10.
Seo, Eun Hyun, Hyung‐Jun Yoon, Kyu Yeong Choi, et al.. (2021). Visuospatial memory impairment as a potential neurocognitive marker to predict tau pathology in Alzheimer’s continuum. Alzheimer s Research & Therapy. 13(1). 167–167. 10 indexed citations
11.
Choi, Yu Yong, Jang Jae Lee, Kyu Yeong Choi, et al.. (2021). Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other†. Frontiers in Aging Neuroscience. 13. 675016–675016. 6 indexed citations
12.
Park, Jung Eun, Kyu Yeong Choi, Byeong C. Kim, et al.. (2019). Cerebrospinal Fluid Biomarkers for the Diagnosis of Prodromal Alzheimer’s Disease in Amnestic Mild Cognitive Impairment. Dementia and Geriatric Cognitive Disorders Extra. 9(1). 100–113. 24 indexed citations
13.
14.
Lee, Jang Jae, et al.. (2019). SNP genotype calling and quality control for multi-batch-based studies. Genes & Genomics. 41(8). 927–939. 16 indexed citations
15.
Yoon, Hyung‐Jun, Hoowon Kim, Kyu Yeong Choi, et al.. (2019). <p>Reversion From Mild Cognitive Impairment To Normal Cognition: False-Positive Error Or True Restoration Thanks To Cognitive Control Ability?</p>. Neuropsychiatric Disease and Treatment. Volume 15. 3021–3032. 10 indexed citations
16.
Kim, Minhee, Jeonghwan Gwak, Jang Jae Lee, et al.. (2019). Investigation of brain functional connectivity in patients with mild cognitive impairment: A functional near‐infrared spectroscopy (fNIRS) study. Journal of Biophotonics. 12(9). 56 indexed citations
17.
Nijenhuis, Jan te, Kyu Yeong Choi, Yu Yong Choi, et al.. (2018). Differences Between APOE Carriers and Non-APOE Carriers on Neurocognitive Tests: Jensen Effects?. American Journal of Alzheimer s Disease & Other Dementias®. 33(6). 353–361. 5 indexed citations
18.
Choi, Kyu Yeong, Jang Jae Lee, Sarang Kang, et al.. (2017). [P2–348]: THE ASIAN ELDERLY ARE MORE SUSCEPTIBLE TO APOE ε4‐DEPENDENT ONSET OF ALZHEIMER's DISEASE. Alzheimer s & Dementia. 13(7S_Part_15). 1 indexed citations
19.
Choe, Han‐Cheol, et al.. (2016). Effect of different grinding burs on the physical properties of zirconia. The Journal of Advanced Prosthodontics. 8(2). 137–137. 30 indexed citations
20.
Kim, Dong‐Kie, Jang Jae Lee, Heung‐Joong Kim, et al.. (2004). Comparison of Detection Rate of Prevotella intermedia and Prevotella nigrescens in Subgingival Plaque from Korean Periodontitis Patients. Seoul National University Open Repository (Seoul National University). 28(2). 279–284. 1 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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