Kyung Mi Lee

1.3k total citations
96 papers, 902 citations indexed

About

Kyung Mi Lee is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Kyung Mi Lee has authored 96 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Neurology, 19 papers in Pulmonary and Respiratory Medicine and 18 papers in Epidemiology. Recurrent topics in Kyung Mi Lee's work include Cerebrovascular and Carotid Artery Diseases (12 papers), Acute Ischemic Stroke Management (11 papers) and Intracranial Aneurysms: Treatment and Complications (10 papers). Kyung Mi Lee is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (12 papers), Acute Ischemic Stroke Management (11 papers) and Intracranial Aneurysms: Treatment and Complications (10 papers). Kyung Mi Lee collaborates with scholars based in South Korea, United States and Japan. Kyung Mi Lee's co-authors include Eui Jong Kim, Hyug‐Gi Kim, Yeon‐Hee Lee, Chang‐Woo Ryu, Bum Joon Kim, Jin San Lee, Q‐Schick Auh, Hak Young Rhee, Geon‐Ho Jahng and Soonchan Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Kyung Mi Lee

90 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyung Mi Lee South Korea 17 286 180 178 151 119 96 902
Bodo Kress Germany 23 378 1.3× 266 1.5× 118 0.7× 40 0.3× 107 0.9× 62 1.2k
Sheng Wu China 20 184 0.6× 752 4.2× 164 0.9× 170 1.1× 106 0.9× 53 1.3k
Sadahiro Nomura Japan 25 873 3.1× 100 0.6× 261 1.5× 170 1.1× 323 2.7× 145 1.9k
Cláudia da Costa Leite Brazil 17 280 1.0× 248 1.4× 206 1.2× 117 0.8× 115 1.0× 77 1.0k
Maria Marcella Laganà Italy 19 286 1.0× 435 2.4× 84 0.5× 55 0.4× 56 0.5× 69 949
Yoshio Suzuki Japan 18 253 0.9× 67 0.4× 144 0.8× 432 2.9× 212 1.8× 87 1.5k
Daniel Scoffings United Kingdom 19 378 1.3× 247 1.4× 290 1.6× 78 0.5× 246 2.1× 49 1.2k
Tomáš Kalinčík Australia 23 514 1.8× 180 1.0× 111 0.6× 41 0.3× 29 0.2× 140 2.0k
P. Maly Sweden 15 199 0.7× 391 2.2× 92 0.5× 38 0.3× 67 0.6× 32 984
Yosuke Yamada Japan 22 210 0.7× 65 0.4× 64 0.4× 147 1.0× 171 1.4× 110 1.3k

Countries citing papers authored by Kyung Mi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kyung Mi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyung Mi Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung Mi Lee. A scholar is included among the top collaborators of Kyung Mi 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 Kyung Mi Lee. Kyung Mi 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
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Lee, Kyung Mi, Sang‐Tae Kim, Hak Young Rhee, et al.. (2024). Correlation of brain tissue volume loss with inflammatory biomarkers IL1β, P-tau, T-tau, and NLPR3 in the aging cognitively impaired population. Frontiers in Aging Neuroscience. 16. 1388654–1388654. 1 indexed citations
4.
Lee, Kyung Mi, et al.. (2024). Rapidly growing distal choroidal artery aneurysm re‐rupture following revascularization for hemorrhagic Moyamoya disease: A case report. SHILAP Revista de lepidopterología. 12(3). e8605–e8605. 2 indexed citations
5.
Kim, Hyug‐Gi, et al.. (2023). Developing and Evaluating Deep Learning Algorithms for Object Detection: Key Points for Achieving Superior Model Performance. Korean Journal of Radiology. 24(7). 698–698. 5 indexed citations
6.
Woo, Ho Geol, Hyug‐Gi Kim, Kyung Mi Lee, et al.. (2023). Blood viscosity associated with stroke mechanism and early neurological deterioration in middle cerebral artery atherosclerosis. Scientific Reports. 13(1). 9384–9384. 7 indexed citations
7.
Lee, Kyung Mi, et al.. (2022). Deep learning-based detection algorithm for brain metastases on black blood imaging. Scientific Reports. 12(1). 19503–19503. 4 indexed citations
8.
Lee, Kyung Mi, et al.. (2022). Clinical significance of “periventricular collateral enhancement sign” in symptomatic moyamoya disease: A vessel wall imaging study. European Journal of Radiology. 157. 110599–110599. 5 indexed citations
9.
Rhee, Hak Young, Jin San Lee, Kyung Mi Lee, et al.. (2021). Added Value of Chemical Exchange-Dependent Saturation Transfer MRI for the Diagnosis of Dementia. Korean Journal of Radiology. 22(5). 770–770. 7 indexed citations
10.
Lee, Kyung Mi, et al.. (2019). Teaching NeuroImages: Cerebrospinal fluid leakage observed from skin after acupuncture. Neurology. 92(10). e1141–e1142. 1 indexed citations
11.
Kim, Young Seo, Bum Joon Kim, Kyung Mi Lee, et al.. (2019). Distal versus Proximal Middle Cerebral Artery Occlusion: Different Mechanisms. Cerebrovascular Diseases. 47(5-6). 238–244. 14 indexed citations
12.
Yoon, Tae‐Hwan, et al.. (2018). A case report of multiple cervical artery dissection after peripheral type facial palsy and use of steroids. BMC Neurology. 18(1). 74–74. 4 indexed citations
13.
Bae, Yun Jung, Jong‐Min Kim, Jong‐Min Kim, et al.. (2016). Loss of Nigral Hyperintensity on 3 Tesla MRI of Parkinsonism: Comparison With 123I‐FP‐CIT SPECT. Movement Disorders. 31(5). 684–692. 94 indexed citations
14.
Lee, Keon Myung, et al.. (2012). Supervised Learning-Based Feature Selection for Mondrian Paintings Style Authentication. Journal of Advanced Computational Intelligence and Intelligent Informatics. 16(7). 894–899. 2 indexed citations
15.
Lee, Kyung Mi, Keon Myung Lee, & Chan Hee Lee. (2012). Linguistic classification pattern extraction for numeric data. International Conference on Artificial Intelligence. 207–212. 1 indexed citations
16.
Lee, Kyung Mi, et al.. (2006). Neurofeedback Treatment of Panic Disorder.. Gajeong yihag hoeji. 27(9). 713–722. 2 indexed citations
17.
Lee, Kyung Mi, Kyung Won Park, Jae Woo Kim, et al.. (2003). The Change of Platelet Aggregation with Acute Ischemic Stroke. Journal of the Korean Neurological Association. 21(1). 14–19. 1 indexed citations
18.
Lee, Eun Jig, Kyung Rae Kim, Yoon‐Sok Chung, et al.. (2001). Thyrotropin secreating pituitary adenoma.. Journal of Korean Endocrine Society. 7(4). 331–342. 1 indexed citations
19.
Lee, Eun Jig, Kyung Rae Kim, Kyung Mi Lee, et al.. (2001). A case of pituitary metastasis from periampullary carcinoma.. Journal of Korean Endocrine Society. 8(1). 88–93. 2 indexed citations
20.
Nam, Moon Suk, Eun Jig Lee, Kyung Rae Kim, et al.. (2001). The correlation between body composition and bone mineral density in pre-and postmenopausal women.. Journal of Korean Endocrine Society. 8(2). 180–186. 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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