Kang‐Sik Park

756 total citations
19 papers, 607 citations indexed

About

Kang‐Sik Park is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kang‐Sik Park has authored 19 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kang‐Sik Park's work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Kang‐Sik Park is often cited by papers focused on Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Kang‐Sik Park collaborates with scholars based in South Korea, Chile and United States. Kang‐Sik Park's co-authors include Hoguen Kim, Young‐Ki Paik, Sang Yun Cho, Nam-Gyun Kim, Min‐Young Song, Je Kyung Seong, Joon Chang, Moussa B. H. Youdim, Tae Young Yune and Youngmi Kim Pak and has published in prestigious journals such as Journal of Neuroscience, Hepatology and The FASEB Journal.

In The Last Decade

Kang‐Sik Park

18 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang‐Sik Park South Korea 12 334 105 101 95 73 19 607
Y. Jiyoung United States 10 426 1.3× 75 0.7× 63 0.6× 120 1.3× 45 0.6× 10 702
Annakaisa M. Herrala Finland 14 309 0.9× 32 0.3× 50 0.5× 66 0.7× 60 0.8× 22 706
Pabalu P. Karunadharma United States 13 742 2.2× 58 0.6× 87 0.9× 112 1.2× 25 0.3× 18 1.1k
Lyndsay E.A. Young United States 13 362 1.1× 72 0.7× 31 0.3× 36 0.4× 85 1.2× 38 585
Maurice Israël France 13 320 1.0× 19 0.2× 128 1.3× 68 0.7× 110 1.5× 27 587
Min Jueng Kang South Korea 20 642 1.9× 20 0.2× 53 0.5× 89 0.9× 126 1.7× 36 1000
Yuliya Skorobogatko United States 12 817 2.4× 30 0.3× 74 0.7× 101 1.1× 56 0.8× 15 1.3k
Frances B. Wheeler United States 15 314 0.9× 32 0.3× 87 0.9× 74 0.8× 234 3.2× 18 663

Countries citing papers authored by Kang‐Sik Park

Since Specialization
Citations

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

Fields of papers citing papers by Kang‐Sik Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang‐Sik Park. 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 Kang‐Sik Park. The network helps show where Kang‐Sik Park may publish in the future.

Co-authorship network of co-authors of Kang‐Sik Park

This figure shows the co-authorship network connecting the top 25 collaborators of Kang‐Sik Park. A scholar is included among the top collaborators of Kang‐Sik Park 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 Kang‐Sik Park. Kang‐Sik Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Park, Kang‐Sik, et al.. (2022). Phosphorylation states greatly regulate the activity and gating properties of Cav3.1 T‐type Ca2+ channels. Journal of Cellular Physiology. 238(1). 210–226. 3 indexed citations
2.
Hwang, Ji Yeon, Jorge Fernández‐Trillo, Kang‐Sik Park, et al.. (2021). Constitutive Phosphorylation as a Key Regulator of TRPM8 Channel Function. Journal of Neuroscience. 41(41). 8475–8493. 14 indexed citations
3.
Cho, Kun, et al.. (2021). Sites and Regulation of L-Type Ca2+ Channel Cav1.2 Phosphorylation in Brain. Cellular and Molecular Neurobiology. 42(7). 2427–2431.
4.
Vergara‐Jaque, Ariela, Katiuchia Uzzun Sales, Michael J. Conboy, et al.. (2021). TMPRSS11a is a novel age‐altered, tissue specific regulator of migration and wound healing. The FASEB Journal. 35(5). e21597–e21597. 11 indexed citations
5.
Kim, Sujeong, Juhyung Lee, Min‐Young Song, et al.. (2019). Protein kinase A-induced phosphorylation at the Thr154 affects stability of DJ-1. Parkinsonism & Related Disorders. 66. 143–150. 8 indexed citations
6.
Kim, Jin Young, et al.. (2017). Identification and characterization of site‐specific N‐glycosylation in the potassium channel Kv3.1b. Journal of Cellular Physiology. 233(1). 549–558. 7 indexed citations
7.
Um, Ji Won, Ji Seung Ko, Min‐Young Song, et al.. (2014). Calsyntenins Function as Synaptogenic Adhesion Molecules in Concert with Neurexins. Cell Reports. 6(6). 1096–1109. 68 indexed citations
8.
Lee, Juhyung, Nuri Yun, Chiho Kim, et al.. (2014). Acetylation of cyclin-dependent kinase 5 is mediated by GCN5. Biochemical and Biophysical Research Communications. 447(1). 121–127. 17 indexed citations
9.
Kim, Sujeong, et al.. (2012). Nuclear translocation of DJ-1 during oxidative stress-induced neuronal cell death. Free Radical Biology and Medicine. 53(4). 936–950. 61 indexed citations
10.
Lee, Ji Eun, et al.. (2012). Mass spectrometric analysis of novel phosphorylation sites in the TRPC4β channel. Rapid Communications in Mass Spectrometry. 26(17). 1965–1970. 4 indexed citations
11.
Moon, Youn Joo, Jee Youn Lee, Myung Sook Oh, et al.. (2011). Inhibition of inflammation and oxidative stress by Angelica dahuricae radix extract decreases apoptotic cell death and improves functional recovery after spinal cord injury. Journal of Neuroscience Research. 90(1). 243–256. 67 indexed citations
12.
Song, Min‐Young, et al.. (2011). Dynamic Modulation of the Kv2.1 Channel by Src-Dependent Tyrosine Phosphorylation. Journal of Proteome Research. 11(2). 1018–1026. 23 indexed citations
13.
Song, Min‐Young, et al.. (2010). Contribution of the delayed-rectifier potassium channel Kv2.1 to acute spinal cord injury in rats. BMB Reports. 43(11). 756–760. 1 indexed citations
14.
Park, Sung‐Min, et al.. (2006). Characterization of plasma gelsolin as a substrate for matrix metalloproteinases. PROTEOMICS. 6(4). 1192–1199. 37 indexed citations
15.
Li, Long Shan, Hyunki Kim, Hwanseok Rhee, et al.. (2004). Proteomic analysis distinguishes basaloid carcinoma as a distinct subtype of nonsmall cell lung carcinoma. PROTEOMICS. 4(11). 3394–3400. 54 indexed citations
16.
Park, Kang‐Sik, Hoguen Kim, Nam-Gyun Kim, et al.. (2002). Proteomic analysis and molecular characterization of tissue ferritin light chain in hepatocellular carcinoma. Hepatology. 35(6). 1459–1466. 95 indexed citations
17.
Chang, Joon, Nam-Gyun Kim, Zhe Piao, et al.. (2002). Assessment of chromosomal losses and gains in hepatocellular carcinoma. Cancer Letters. 182(2). 193–202. 35 indexed citations
18.
Cho, Sang Yun, Kang‐Sik Park, Jung Eun Shim, et al.. (2002). An integrated proteome database for two-dimensional electrophoresis data analysis and laboratory information management system. PROTEOMICS. 2(9). 1104–1113. 26 indexed citations
19.
Park, Kang‐Sik, Sang Yun Cho, Hoguen Kim, & Young‐Ki Paik. (2001). Proteomic alterations of the variants of human aldehyde dehydrogenase isozymes correlate with hepatocellular carcinoma. International Journal of Cancer. 97(2). 261–265. 76 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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