Ahee Lee

846 total citations
25 papers, 637 citations indexed

About

Ahee Lee is a scholar working on Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ahee Lee has authored 25 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 11 papers in Neurology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ahee Lee's work include Transcranial Magnetic Stimulation Studies (10 papers), Functional Brain Connectivity Studies (8 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Ahee Lee is often cited by papers focused on Transcranial Magnetic Stimulation Studies (10 papers), Functional Brain Connectivity Studies (8 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Ahee Lee collaborates with scholars based in South Korea, Switzerland and Germany. Ahee Lee's co-authors include Yun‐Hee Kim, Won Hyuk Chang, Eunhee Park, Jungsoo Lee, Yong‐Il Shin, Min-Su Kim, Chang‐Hwan Im, Yun Kwan Kim, Chang-Hyun Park and Friedhelm C. Hummel and has published in prestigious journals such as PLoS ONE, Stroke and International Journal of Molecular Sciences.

In The Last Decade

Ahee Lee

25 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahee Lee South Korea 15 318 201 190 144 86 25 637
Morgan A. McClure China 17 490 1.5× 199 1.0× 238 1.3× 93 0.6× 107 1.2× 29 762
Jeong‐Hwan Seo South Korea 14 301 0.9× 148 0.7× 247 1.3× 88 0.6× 81 0.9× 66 803
Takatoshi Hara Japan 12 245 0.8× 246 1.2× 130 0.7× 43 0.3× 49 0.6× 46 467
Huaping Chen China 9 354 1.1× 182 0.9× 110 0.6× 33 0.2× 87 1.0× 14 474
Oluwole O. Awosika United States 13 173 0.5× 227 1.1× 145 0.8× 43 0.3× 56 0.7× 33 663
E. Bastings United States 13 285 0.9× 215 1.1× 160 0.8× 96 0.7× 79 0.9× 20 631
Cristiano Pecchioli Italy 14 364 1.1× 340 1.7× 333 1.8× 72 0.5× 240 2.8× 23 941
Federica Bertolucci Italy 15 269 0.8× 272 1.4× 314 1.7× 43 0.3× 170 2.0× 22 792
Judy Kipping Germany 10 285 0.9× 34 0.2× 416 2.2× 127 0.9× 54 0.6× 14 646
Marcel Simis Brazil 19 555 1.7× 275 1.4× 331 1.7× 60 0.4× 204 2.4× 61 1.0k

Countries citing papers authored by Ahee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ahee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahee Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ahee Lee. A scholar is included among the top collaborators of Ahee 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 Ahee Lee. Ahee 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.
Lee, Ahee, et al.. (2020). Modulating Effects of Whole-body Vibration on Cortical Activity and Gait Function in Chronic Stroke Patients. Brain & Neurorehabilitation. 13(2). e12–e12. 6 indexed citations
2.
Lee, Jungsoo, Eunhee Park, Ahee Lee, et al.. (2020). Prediction of motor recovery using indirect connectivity in a lesion network after ischemic stroke. Therapeutic Advances in Neurological Disorders. 13. 1279147247–1279147247. 3 indexed citations
4.
Lee, Hwang-Jae, et al.. (2018). Modulation of Cortical Activity by High-Frequency Whole-Body Vibration Exercise: An fNIRS Study. Journal of Sport Rehabilitation. 28(7). 665–670. 13 indexed citations
5.
Kim, Yun Kwan, et al.. (2018). Changes in network connectivity during motor imagery and execution. PLoS ONE. 13(1). e0190715–e0190715. 79 indexed citations
6.
Lee, Jungsoo, Eunhee Park, Ahee Lee, et al.. (2018). Alteration and Role of Interhemispheric and Intrahemispheric Connectivity in Motor Network After Stroke. Brain Topography. 31(4). 708–719. 37 indexed citations
7.
Chang, Won Hyuk, et al.. (2018). Relationship between Serum BDNF Levels and Depressive Mood in Subacute Stroke Patients: A Preliminary Study. International Journal of Molecular Sciences. 19(10). 3131–3131. 13 indexed citations
8.
Schulz, Robert, Eunhee Park, Jungsoo Lee, et al.. (2017). Synergistic but independent: The role of corticospinal and alternate motor fibers for residual motor output after stroke. NeuroImage Clinical. 15. 118–124. 38 indexed citations
9.
Park, Eunhee, Min Jae Kang, Ahee Lee, et al.. (2017). Real-time measurement of cerebral blood flow during and after repetitive transcranial magnetic stimulation: A near-infrared spectroscopy study. Neuroscience Letters. 653. 78–83. 17 indexed citations
10.
Schulz, Robert, Eunhee Park, Jungsoo Lee, et al.. (2017). Interactions Between the Corticospinal Tract and Premotor–Motor Pathways for Residual Motor Output After Stroke. Stroke. 48(10). 2805–2811. 46 indexed citations
11.
Chang, Won Hyuk, Eunhee Park, Jungsoo Lee, Ahee Lee, & Yun‐Hee Kim. (2017). Association Between Brain-Derived Neurotrophic Factor Genotype and Upper Extremity Motor Outcome After Stroke. Stroke. 48(6). 1457–1462. 16 indexed citations
12.
Choi, Y., Ahee Lee, Min-Su Kim, et al.. (2017). Dual-mode noninvasive brain stimulation over the bilateral primary motor cortices in stroke patients. Restorative Neurology and Neuroscience. 35(1). 105–114. 17 indexed citations
13.
Chang, Won Hyuk, Chang-Hyun Park, Deog Young Kim, et al.. (2016). Cerebrolysin combined with rehabilitation promotes motor recovery in patients with severe motor impairment after stroke. BMC Neurology. 16(1). 31–31. 61 indexed citations
14.
Park, Eunhee, et al.. (2016). Effects of Bilateral Repetitive Transcranial Magnetic Stimulation on Post-Stroke Dysphagia. Brain stimulation. 10(1). 75–82. 94 indexed citations
15.
Jang, Shin Yi, Min Kyun Sohn, Jongmin Lee, et al.. (2015). Chronic Kidney Disease and Functional Outcomes 6 Months after Ischemic Stroke: A Prospective Multicenter Study. Neuroepidemiology. 46(1). 24–30. 6 indexed citations
16.
Kim, Yun‐Hee, et al.. (2015). Prediction of Motor Recovery Using Diffusion Tensor Tractography in Supratentorial Stroke Patients With Severe Motor Involvement. Annals of Rehabilitation Medicine. 39(4). 570–570. 17 indexed citations
17.
Lee, Ahee, et al.. (2015). Dual-mode Noninvasive Brain Stimulation over Prefrontal Cortices on Working Memory in Stroke Patients. Brain stimulation. 8(2). 359–359. 1 indexed citations
18.
Lee, Minji, Yun‐Hee Kim, Chang‐Hwan Im, et al.. (2014). What is the optimal anodal electrode position for inducing corticomotor excitability changes in transcranial direct current stimulation?. Neuroscience Letters. 584. 347–350. 15 indexed citations
19.
Chang, Won Hyuk, Oh Young Bang, Yong‐Il Shin, et al.. (2014). BDNF Polymorphism and Differential rTMS Effects on Motor Recovery of Stroke Patients. Brain stimulation. 7(4). 553–558. 63 indexed citations
20.
Lee, Ahee, et al.. (2011). A Study on a Korean-translated Version of the Cognitive Failures Questionnaire. 19(4). 117–129. 8 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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