Woojun Kim

2.3k total citations
81 papers, 1.6k citations indexed

About

Woojun Kim is a scholar working on Neurology, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Woojun Kim has authored 81 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Neurology, 35 papers in Pathology and Forensic Medicine and 15 papers in Rheumatology. Recurrent topics in Woojun Kim's work include Multiple Sclerosis Research Studies (33 papers), Peripheral Neuropathies and Disorders (25 papers) and Systemic Lupus Erythematosus Research (9 papers). Woojun Kim is often cited by papers focused on Multiple Sclerosis Research Studies (33 papers), Peripheral Neuropathies and Disorders (25 papers) and Systemic Lupus Erythematosus Research (9 papers). Woojun Kim collaborates with scholars based in South Korea, United States and United Kingdom. Woojun Kim's co-authors include Su‐Hyun Kim, Ho Jin Kim, So‐Young Huh, Min Su Park, Joong‐Seok Kim, Yeong-In Kim, Jae‐Young An, Kazuo Fujihara, Kwang-Soo Lee and Tatsuro Misu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Woojun Kim

71 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Woojun Kim South Korea 23 1.1k 980 392 177 160 81 1.6k
Ruth Geraldes Portugal 21 854 0.8× 809 0.8× 338 0.9× 164 0.9× 131 0.8× 61 1.6k
Luís Brieva Spain 21 1.0k 1.0× 791 0.8× 303 0.8× 295 1.7× 103 0.6× 77 1.8k
Rainer Ehling Austria 21 1.1k 1.1× 792 0.8× 372 0.9× 177 1.0× 114 0.7× 52 1.8k
Byoung Joon Kim South Korea 23 728 0.7× 806 0.8× 271 0.7× 283 1.6× 138 0.9× 114 1.6k
Irena Dujmović Serbia 23 1.0k 1.0× 656 0.7× 389 1.0× 279 1.6× 142 0.9× 65 1.6k
Caspar F. Pfueller Germany 22 902 0.8× 353 0.4× 236 0.6× 124 0.7× 143 0.9× 30 1.5k
Maria Laura Stromillo Italy 25 1.7k 1.6× 780 0.8× 546 1.4× 330 1.9× 303 1.9× 65 2.3k
Clare L. Fraser Australia 29 651 0.6× 846 0.9× 336 0.9× 569 3.2× 163 1.0× 142 2.7k
Neeta Garg United States 12 1.3k 1.2× 395 0.4× 240 0.6× 147 0.8× 202 1.3× 23 1.7k
Ernst‐Wilhelm Radü Switzerland 12 1.0k 0.9× 441 0.5× 293 0.7× 129 0.7× 85 0.5× 22 1.7k

Countries citing papers authored by Woojun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Woojun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Woojun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Woojun Kim. A scholar is included among the top collaborators of Woojun Kim 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 Woojun Kim. Woojun Kim 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.
Jung, Yu Jin, et al.. (2025). Deep-Learning-Based Automated REM Sleep Detection in Patients With REM Sleep Behavior Disorder: Is It Reliable?. Journal of Clinical Neurology. 21(5). 415–415.
2.
Shin, Hyeong‐Geol, Woojun Kim, Hyunsoo Lee, et al.. (2025). Association of iron deposition in MS lesion with remyelination capacity using susceptibility source separation MRI. NeuroImage Clinical. 45. 103748–103748. 1 indexed citations
3.
Jang, Jinhee, et al.. (2024). Comparison between R2′‐based and R2*‐based χ‐separation methods: A clinical evaluation in individuals with multiple sclerosis. NMR in Biomedicine. 37(9). e5167–e5167. 6 indexed citations
4.
Kim, Woojun, et al.. (2024). Nanonization and Deformable Behavior of Fattigated Peptide Drug in Mucoadhesive Buccal Films. Pharmaceutics. 16(4). 468–468. 5 indexed citations
5.
6.
7.
Kim, Woojun, et al.. (2022). χ-Separation Imaging for Diagnosis of Multiple Sclerosis versus Neuromyelitis Optica Spectrum Disorder. Radiology. 307(1). e220941–e220941. 27 indexed citations
8.
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
9.
Kim, Woojun, Eun Young Park, Jae‐Won Hyun, et al.. (2020). Validation of the Korean Version of the 12-Item Multiple Sclerosis Walking Scale and Application to Neuromyelitis Optica Spectrum Disorder. Journal of Clinical Neurology. 16(2). 270–270. 5 indexed citations
10.
Hyun, Jae‐Won, Na-Young Park, Su‐Hyun Kim, et al.. (2020). Comparison of Neuropathic Pain in Neuromyelitis Optica Spectrum Disorder and Multiple Sclerosis. Journal of Clinical Neurology. 16(1). 124–124. 17 indexed citations
11.
Hyun, Jae‐Won, Young Nam Kwon, Hye Lim Lee, et al.. (2020). Recurrence of clinical events at the same anatomical location in patients with MOG antibody-associated disease. Multiple Sclerosis Journal. 27(3). 449–452. 2 indexed citations
12.
Hyun, Jae‐Won, Mark Woodhall, Ji‐Eun Lee, et al.. (2020). Refining cell-based assay to detect MOG-IgG in patients with central nervous system inflammatory diseases. Multiple Sclerosis and Related Disorders. 40. 101939–101939. 22 indexed citations
13.
Kang, Kyung Wook, Yong Won Cho, Sang Kun Lee, et al.. (2019). Genetic characteristics of non-familial epilepsy. PeerJ. 7. e8278–e8278. 17 indexed citations
14.
Shon, Young‐Min, et al.. (2016). Clinical characteristics of patients with benign nonlesional temporal lobe epilepsy. Neuropsychiatric Disease and Treatment. Volume 12. 1887–1891. 6 indexed citations
15.
Kim, Jong Wook, Eun Sook Kim, Woojun Kim, et al.. (2013). A case of Dyke-Davidoff-Masson syndrome associated with central hypothyroidism and secondary adrenal insufficiency. HORMONES. 12(3). 461–465. 4 indexed citations
16.
Lee, Seung‐Jae, Joong‐Seok Kim, Kwang-Soo Lee, et al.. (2008). The severity of leukoaraiosis correlates with the clinical phenotype of Parkinson’s disease. Archives of Gerontology and Geriatrics. 49(2). 255–259. 62 indexed citations
17.
Lee, Seung‐Jae, Kwang‐Soo Lee, Jae‐Young An, et al.. (2008). The Lesion Patterns and Mechanisms of Ischemic Stroke Contralateral to the Internal Carotid Artery Occlusive Disease. European Neurology. 60(1). 27–31. 5 indexed citations
18.
Lee, Seung‐Jae, et al.. (2008). Clinical Features of Patients with a Myocardial Infarction During Acute Management of an Ischemic Stroke. Neurocritical Care. 9(3). 332–337. 8 indexed citations
19.
Lee, Seung‐Jae, Joong‐Seok Kim, Kwang-Soo Lee, et al.. (2008). The leukoaraiosis is more prevalent in the large artery atherosclerosis stroke subtype among Korean patients with ischemic stroke. BMC Neurology. 8(1). 31–31. 35 indexed citations
20.
Kim, Joong‐Seok, Jeong‐Wook Park, Woojun Kim, et al.. (2006). Disappearance of essential tremor after frontal cortical infarct. Movement Disorders. 21(8). 1284–1285. 19 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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