Won‐Cheoul Jang

660 total citations
28 papers, 519 citations indexed

About

Won‐Cheoul Jang is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Won‐Cheoul Jang has authored 28 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Biomedical Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Won‐Cheoul Jang's work include Biosensors and Analytical Detection (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Plant Virus Research Studies (3 papers). Won‐Cheoul Jang is often cited by papers focused on Biosensors and Analytical Detection (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Plant Virus Research Studies (3 papers). Won‐Cheoul Jang collaborates with scholars based in South Korea, Canada and United States. Won‐Cheoul Jang's co-authors include Ji‐Young Hwang, Ueon Sang Shin, Hae‐Won Kim, Jin-Ho Kim, Ji-Young Choi, Jung Keun Hyun, Tae‐Hee Kim, Ivan Wall, Jae‐Won Seo and Sang‐Hyun Lee and has published in prestigious journals such as Carbon, Neuroscience and Nanoscale.

In The Last Decade

Won‐Cheoul Jang

28 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won‐Cheoul Jang South Korea 12 130 125 64 59 55 28 519
Maria Luisa Barcellona Italy 15 73 0.6× 204 1.6× 39 0.6× 35 0.6× 49 0.9× 21 520
Zhen Liang China 16 110 0.8× 239 1.9× 44 0.7× 123 2.1× 50 0.9× 74 845
Javad T. Hashmi United States 4 239 1.8× 106 0.8× 67 1.0× 47 0.8× 73 1.3× 6 917
Majid Nejati Iran 15 68 0.5× 305 2.4× 43 0.7× 88 1.5× 58 1.1× 47 827
Xujiao Zhou China 16 87 0.7× 395 3.2× 48 0.8× 43 0.7× 91 1.7× 57 848
Felipe Goñi‐de‐Cerio Spain 16 93 0.7× 235 1.9× 31 0.5× 63 1.1× 39 0.7× 44 691
Ying Wan China 14 91 0.7× 191 1.5× 30 0.5× 96 1.6× 79 1.4× 26 947
Xuemei Ma China 20 204 1.6× 266 2.1× 137 2.1× 45 0.8× 22 0.4× 72 1.1k

Countries citing papers authored by Won‐Cheoul Jang

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Cheoul Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Cheoul Jang. 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 Won‐Cheoul Jang. The network helps show where Won‐Cheoul Jang may publish in the future.

Co-authorship network of co-authors of Won‐Cheoul Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Cheoul Jang. A scholar is included among the top collaborators of Won‐Cheoul Jang 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 Won‐Cheoul Jang. Won‐Cheoul Jang 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, Jin-Ho, et al.. (2021). Development of a highly sensitive and rapid detection method for Pea enation mosaic virus using loop-mediated isothermal amplification assay. Journal of Virological Methods. 300. 114427–114427. 4 indexed citations
2.
Kim, Jin-Ho, Tae‐Hee Kim, Yeon Suk Kim, et al.. (2019). Mucin gene polymorphisms are associated with endometriosis in Korean women. Archives of Gynecology and Obstetrics. 301(3). 801–807. 5 indexed citations
3.
Baker, Glen B., et al.. (2018). Roles of 5-HT on phase transition of neurite outgrowth in the identified serotoninergic neuron C1, Helisoma trivolvis. Invertebrate Neuroscience. 18(3). 10–10. 1 indexed citations
4.
Dunbar, Gary, et al.. (2018). Characterization of Impaired Cerebrovascular Structure in APP/PS1 Mouse Brains. Neuroscience. 385. 246–254. 36 indexed citations
5.
Kim, Jin-Ho, et al.. (2017). Development of Diagnostic System for Rapid and Specific Detection of Cherry leaf roll virus. Journal of Agriculture & Life Science. 51(5). 39–45. 1 indexed citations
6.
Eltohamy, Mohamed, Jae‐Won Seo, Ji‐Young Hwang, et al.. (2016). Ionic and thermo-switchable polymer-masked mesoporous silica drug-nanocarrier: High drug loading capacity at 10 °C and fast drug release completion at 40 °C. Colloids and Surfaces B Biointerfaces. 144. 229–237. 13 indexed citations
7.
Kim, Jin-Ho, et al.. (2016). Genetic polymorphisms of interleukin genes and the risk of Alzheimer's disease: An update meta-analysis. Meta Gene. 8. 1–10. 39 indexed citations
8.
Kim, Jin-Ho, Ji-Young Choi, Won‐Cheoul Jang, et al.. (2016). Polymorphisms of small ubiquitin-related modifier genes are associated with risk of Alzheimer's disease in Korean: A case-control study. Journal of the Neurological Sciences. 364. 122–127. 7 indexed citations
9.
Kim, Jin-Ho, et al.. (2016). Calcium homeostasis modulator 1 gene P86L polymorphism and the risk for alzheimer’s disease: A meta-analysis. Neuroscience Letters. 619. 8–14. 3 indexed citations
10.
Kim, Tae‐Hee, et al.. (2015). Vitamin D receptor gene polymorphisms and the risk for female reproductive cancers: A meta-analysis. Maturitas. 81(2). 256–265. 46 indexed citations
11.
Lee, Si Won, Jin-Ho Kim, Ji-Young Choi, & Won‐Cheoul Jang. (2015). Loop-mediated Isothermal Amplification Assay to Rapidly Detect Wheat Streak Mosaic Virus in Quarantined Plants. The Plant Pathology Journal. 31(4). 438–440. 15 indexed citations
12.
Hwang, Ji‐Young, Ueon Sang Shin, Won‐Cheoul Jang, et al.. (2012). Biofunctionalized carbon nanotubes in neural regeneration: a mini-review. Nanoscale. 5(2). 487–497. 69 indexed citations
13.
Jang, Won‐Cheoul, et al.. (2012). Promoter –2518 single nucleotide polymorphism of monocyte chemoattractant protein-1 is associated with clinical severity in Behçet’s disease. Inflammation Research. 61(6). 541–545. 8 indexed citations
14.
Yamakoshi, Takehiro, et al.. (2009). Relationship between salivary Chromogranin-A and stress induced by simulated monotonous driving. Medical & Biological Engineering & Computing. 47(4). 449–456. 24 indexed citations
15.
Jang, Won‐Cheoul, et al.. (2008). Interleukin-17F gene polymorphisms in Korean patients with Behçet’s disease. Rheumatology International. 29(2). 173–8. 46 indexed citations
16.
Shin, Dong-Jik, Eunmin Kim, Won‐Cheoul Jang, et al.. (2006). A novel mutation in the SCN5A gene is associated with Brugada syndrome. Life Sciences. 80(8). 716–724. 12 indexed citations
17.
Jang, Won‐Cheoul, et al.. (2006). SLC11A1 gene polymorphisms in Korean patients with Behçet's disease. Scandinavian Journal of Rheumatology. 35(5). 398–401. 10 indexed citations
18.
Oh, Won Keun, Hyuncheol Oh, Won‐Cheoul Jang, et al.. (2005). Inhibitory effect of jaceosidin isolated from Artemisia argyi on the function of E6 and E7 oncoproteins of HPV 16. Journal of Ethnopharmacology. 98(3). 339–343. 70 indexed citations
19.
Kim, Jong‐Wan, Jung‐Hyun Shim, Joo‐Won Park, et al.. (2005). Development of PCR‐ELISA for the detection of hepatitis B virus x gene expression and clinical application. Journal of Clinical Laboratory Analysis. 19(4). 139–145. 5 indexed citations
20.
Jang, Won‐Cheoul, et al.. (1996). Structural Changes of the Spinach Photosystem II Reaction Center After Inactivation by Heat Treatment. BMB Reports. 29(1). 58–62. 4 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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