Ha Young Shin

2.9k total citations
126 papers, 1.2k citations indexed

About

Ha Young Shin is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ha Young Shin has authored 126 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Neurology, 35 papers in Molecular Biology and 23 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ha Young Shin's work include Peripheral Neuropathies and Disorders (42 papers), Myasthenia Gravis and Thymoma (32 papers) and Parkinson's Disease and Spinal Disorders (16 papers). Ha Young Shin is often cited by papers focused on Peripheral Neuropathies and Disorders (42 papers), Myasthenia Gravis and Thymoma (32 papers) and Parkinson's Disease and Spinal Disorders (16 papers). Ha Young Shin collaborates with scholars based in South Korea, United States and Hong Kong. Ha Young Shin's co-authors include Seung Min Kim, Young‐Chul Choi, Hyung Jun Park, Seung Woo Kim, Byung In Lee, Jong Kuk Kim, Jung Hwan Lee, Hyung‐Seok Lee, Ji Hoe Heo and Seo Hyun Kim and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Ha Young Shin

104 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ha Young Shin South Korea 20 534 319 210 182 146 126 1.2k
Tamara Tajsic United Kingdom 17 439 0.8× 598 1.9× 125 0.6× 99 0.5× 169 1.2× 27 1.5k
Takemori Yamawaki Japan 19 466 0.9× 277 0.9× 187 0.9× 72 0.4× 212 1.5× 75 1.2k
Kay Nolte Germany 25 458 0.9× 351 1.1× 138 0.7× 158 0.9× 197 1.3× 70 1.6k
Domingo Escudero Spain 20 565 1.1× 131 0.4× 76 0.4× 193 1.1× 138 0.9× 41 991
Shahar Shelly United States 14 492 0.9× 108 0.3× 66 0.3× 79 0.4× 168 1.2× 72 1.0k
Timothée Lenglet France 22 870 1.6× 349 1.1× 220 1.0× 79 0.4× 115 0.8× 58 1.6k
Jennifer A. Tracy United States 17 406 0.8× 189 0.6× 179 0.9× 232 1.3× 72 0.5× 46 968
De‐Cai Tian China 15 513 1.0× 428 1.3× 70 0.3× 330 1.8× 327 2.2× 56 1.5k
Ersin Tan Türkiye 19 322 0.6× 469 1.5× 333 1.6× 56 0.3× 88 0.6× 83 1.1k
Fumiharu Kimura Japan 17 407 0.8× 176 0.6× 146 0.7× 192 1.1× 97 0.7× 65 923

Countries citing papers authored by Ha Young Shin

Since Specialization
Citations

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

Fields of papers citing papers by Ha Young Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ha Young Shin. 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 Ha Young Shin. The network helps show where Ha Young Shin may publish in the future.

Co-authorship network of co-authors of Ha Young Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Ha Young Shin. A scholar is included among the top collaborators of Ha Young Shin 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 Ha Young Shin. Ha Young Shin 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.
Nishino, Ichizo, Shigeaki Suzuki, Bum Chun Suh, et al.. (2025). Profiling of Anti-Signal-Recognition Particle Antibodies and Clinical Characteristics in South Korean Patients With Immune-Mediated Necrotizing Myopathy. Journal of Clinical Neurology. 21(1). 31–31. 1 indexed citations
2.
3.
Shin, Ha Young, Kyung Seok Park, Seol‐Hee Baek, et al.. (2024). Therapeutic Outcomes and Electrophysiological Biomarkers in Anti-Myelin-Associated Glycoprotein Neuropathy: A Multicenter Cohort Study in South Korea. Journal of Clinical Neurology. 20(1). 50–50. 4 indexed citations
4.
Kim, Seung Woo, Eun Hee Sohn, Tai‐Seung Nam, et al.. (2024). National Consensus Guidance for Management of Refractory Myasthenia Gravis. 15(2). 59–71.
5.
Kim, Mingi, et al.. (2024). Clinical Features of Autoimmune Nodopathy With Anti-Neurofascin-155 Antibodies in South Koreans. Journal of Clinical Neurology. 20(2). 186–186. 3 indexed citations
6.
Shin, Ha Young, Young‐Chul Choi, Hyung Jun Park, et al.. (2023). Germinal centers are associated with postthymectomy myasthenia gravis in patients with thymoma. European Journal of Neurology. 31(2). e16119–e16119. 4 indexed citations
7.
Kim, Seok-Hyun & Ha Young Shin. (2023). Susac Syndrome With Good Response to Intravenous Immunoglobulin: A Case Report. Journal of Clinical Neurology. 19(5). 506–506.
8.
9.
Lee, Hyun Joon, Bum Chun Suh, Ha Young Shin, et al.. (2023). Clinical significance of anti-NT5c1A autoantibody in Korean patients with inflammatory myopathies. PLoS ONE. 18(4). e0284409–e0284409. 5 indexed citations
10.
Shin, Ha Young, et al.. (2022). Serum uric acid level predicts the progression of amyotrophic lateral sclerosis following treatment with edaravone. Redox Report. 27(1). 79–84. 8 indexed citations
11.
Kim, Sooyoung, et al.. (2022). Factors affecting the intention of COVID-19 vaccination in Korean patients with myasthenia gravis: A survey-based study. Frontiers in Neurology. 13. 847873–847873. 4 indexed citations
12.
Lee, Jee Eun, Song Yee Kim, Song Yee Kim, et al.. (2022). Risk factors for neuromuscular complications in lower limbs after lung transplantation. Frontiers in Neurology. 13. 1066104–1066104. 1 indexed citations
13.
Kim, Sohyeon, Ki Hoon Kim, Hyung Jun Park, et al.. (2022). Anti-titin antibodies are associated with myocarditis in patients with myasthenia gravis. Journal of Neurology. 270(3). 1457–1465. 3 indexed citations
14.
Kim, Sun‐Young, Jin‐Sung Park, Jae‐Hyeok Lee, et al.. (2022). Clinical, electrophysiological, and genetic characteristics of cerebrotendinous xanthomatosis in South Korea. Neurocase. 28(6). 477–482. 1 indexed citations
15.
Lee, Hye Lim, Jin‐Woo Park, Jin Myoung Seok, et al.. (2021). Serum Peptide Immunoglobulin G Autoantibody Response in Patients with Different Central Nervous System Inflammatory Demyelinating Disorders. Diagnostics. 11(8). 1339–1339. 4 indexed citations
16.
Kim, Ki Hoon, Seung Woo Kim, & Ha Young Shin. (2021). Initial Repetitive Nerve Stimulation Test Predicts Conversion of Ocular Myasthenia Gravis to Generalized Myasthenia Gravis. Journal of Clinical Neurology. 17(2). 265–265. 6 indexed citations
17.
Hyun, Jae‐Won, Hye Lim Lee, Jae-Hong Park, et al.. (2021). Brighter spotty lesions on spinal MRI help differentiate AQP4 antibody-positive NMOSD from MOGAD. Multiple Sclerosis Journal. 28(6). 989–992. 10 indexed citations
18.
Park, Hyung Jun, Young Bin Hong, Ji‐Man Hong, et al.. (2020). Null variants in DYSF result in earlier symptom onset. Clinical Genetics. 99(3). 396–406. 3 indexed citations
19.
Lee, Hye Lim, Jin Myoung Seok, Yoon‐Ho Hong, et al.. (2020). Prevalence and Incidence of Neuromyelitis Optica Spectrum Disorder in Korea: Population Based Study. Journal of Korean Medical Science. 35(17). e115–e115. 17 indexed citations
20.
Choi, Young‐Chul, Ji‐Man Hong, Kee Duk Park, et al.. (2019). Proteomic analysis of the skeletal muscles from dysferlinopathy patients. Journal of Clinical Neuroscience. 71. 186–190. 7 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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