Joon‐Chul Kim

569 total citations
38 papers, 439 citations indexed

About

Joon‐Chul Kim is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Joon‐Chul Kim has authored 38 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 25 papers in Cardiology and Cardiovascular Medicine and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Joon‐Chul Kim's work include Ion channel regulation and function (24 papers), Cardiac electrophysiology and arrhythmias (23 papers) and Neuroscience and Neural Engineering (5 papers). Joon‐Chul Kim is often cited by papers focused on Ion channel regulation and function (24 papers), Cardiac electrophysiology and arrhythmias (23 papers) and Neuroscience and Neural Engineering (5 papers). Joon‐Chul Kim collaborates with scholars based in South Korea, United States and Vietnam. Joon‐Chul Kim's co-authors include Sun‐Hee Woo, Krishna Prasad Subedi, Sunwoo Lee, Mario Delmar, Marta Pérez-Hernández, Feng‐Xia Liang, Yuhua Li, Mingliang Zhang, Eli Rothenberg and Yeon-Soo Kim and has published in prestigious journals such as Circulation, Circulation Research and The Journal of Physiology.

In The Last Decade

Joon‐Chul Kim

36 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon‐Chul Kim South Korea 13 257 233 52 42 36 38 439
Cornelia C. Siebrands Germany 13 300 1.2× 238 1.0× 56 1.1× 22 0.5× 119 3.3× 14 553
Sophie Danloy Belgium 10 222 0.9× 61 0.3× 57 1.1× 30 0.7× 57 1.6× 13 411
Yan-Ting Zhao China 11 331 1.3× 269 1.2× 81 1.6× 40 1.0× 19 0.5× 29 512
Takashi Hisamitsu Japan 14 493 1.9× 89 0.4× 95 1.8× 37 0.9× 16 0.4× 24 603
Yoshiaki Maruyama Japan 7 192 0.7× 53 0.2× 79 1.5× 54 1.3× 9 0.3× 13 320
Daniela Ramaccini Italy 8 298 1.2× 59 0.3× 35 0.7× 66 1.6× 8 0.2× 13 444
William R. Sones United Kingdom 9 383 1.5× 101 0.4× 98 1.9× 58 1.4× 6 0.2× 12 483
Marielle Anger France 10 306 1.2× 180 0.8× 27 0.5× 45 1.1× 27 0.8× 10 389
Krishna Samanta India 12 358 1.4× 32 0.1× 124 2.4× 56 1.3× 44 1.2× 25 555
Carlos Ojeda France 14 292 1.1× 161 0.7× 136 2.6× 40 1.0× 26 0.7× 31 474

Countries citing papers authored by Joon‐Chul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Joon‐Chul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joon‐Chul Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Joon‐Chul Kim. A scholar is included among the top collaborators of Joon‐Chul 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 Joon‐Chul Kim. Joon‐Chul 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.
2.
Kim, Ji Hyun, Hwan Geun Choi, Joon‐Chul Kim, et al.. (2024). Modeling acute myocardial infarction and cardiac fibrosis using human induced pluripotent stem cell-derived multi-cellular heart organoids. Cell Death and Disease. 15(5). 308–308. 25 indexed citations
3.
Lee, Jaehun, et al.. (2021). Truncated Milk Fat Globule-EGF-like Factor 8 Ameliorates Liver Fibrosis via Inhibition of Integrin-TGFβ Receptor Interaction. Biomedicines. 9(11). 1529–1529. 1 indexed citations
4.
Choi, Kwangman, Hyejeong Jeong, Joon‐Chul Kim, et al.. (2021). Regulation of Survival Motor Neuron Gene Expression by Calcium Signaling. International Journal of Molecular Sciences. 22(19). 10234–10234.
5.
Pérez-Hernández, Marta, Alejandra Leo‐Macías, Sarah Keegan, et al.. (2020). Structural and Functional Characterization of a Na v 1.5-Mitochondrial Couplon. Circulation Research. 128(3). 419–432. 20 indexed citations
6.
Kim, Joon‐Chul, et al.. (2020). Alterations of Ca2+ signaling and Ca2+ release sites in cultured ventricular myocytes with intact internal Ca2+ storage. Biochemical and Biophysical Research Communications. 527(2). 379–386. 1 indexed citations
7.
Kim, Joon‐Chul, et al.. (2020). Distinct shear-induced Ca2+ signaling in the left and right atrial myocytes: Role of P2 receptor context. Journal of Molecular and Cellular Cardiology. 143. 38–50. 6 indexed citations
8.
Kim, Joon‐Chul, et al.. (2018). Role of inositol 1,4,5-trisphosphate receptor type 1 in ATP-induced nuclear Ca2+ signal and hypertrophy in atrial myocytes. Biochemical and Biophysical Research Communications. 503(4). 2998–3002. 1 indexed citations
9.
Kim, Joon‐Chul, et al.. (2018). Regulation of cardiac calcium by mechanotransduction: Role of mitochondria. Archives of Biochemistry and Biophysics. 659. 33–41. 11 indexed citations
10.
Kim, Joon‐Chul, et al.. (2017). Shear stress enhances Ca 2+ sparks through Nox2-dependent mitochondrial reactive oxygen species generation in rat ventricular myocytes. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1864(6). 1121–1131. 12 indexed citations
11.
Kim, Joon‐Chul, et al.. (2017). Regulation of cardiac Ca2+ and ion channels by shear mechanotransduction. Archives of Pharmacal Research. 40(7). 783–795. 4 indexed citations
12.
Kim, Joon‐Chul, Jeong Hyun Lee, Trần Quốc Toàn, et al.. (2016). Enhancement of contraction and L-type Ca2+ current by murrayafoline-A via protein kinase C in rat ventricular myocytes. European Journal of Pharmacology. 784. 33–41. 5 indexed citations
13.
Kim, Joon‐Chul, Trần Thu Hương, Bùi Hữu Tài, et al.. (2014). Alterations of contractions and L-type Ca2+ currents by murrayafoline-A in rat ventricular myocytes. European Journal of Pharmacology. 740. 81–87. 4 indexed citations
14.
Kim, Joon‐Chul, et al.. (2014). Sensitization of cardiac Ca2+ release sites by protein kinase C signaling: evidence from action of murrayafoline A. Pflügers Archiv - European Journal of Physiology. 467(7). 1607–1621. 9 indexed citations
15.
Subedi, Krishna Prasad, et al.. (2011). Voltage-dependent anion channel 2 modulates resting Ca2+ sparks, but not action potential-induced Ca2+ signaling in cardiac myocytes. Cell Calcium. 49(2). 136–143. 30 indexed citations
16.
Kim, Joon‐Chul, et al.. (2010). Atrial local Ca2+ signaling and inositol 1,4,5-trisphosphate receptors. Progress in Biophysics and Molecular Biology. 103(1). 59–70. 17 indexed citations
17.
Kim, Joon‐Chul, et al.. (2010). IP3-Induced Cytosolic and Nuclear Ca2+ Signals in HL-1 Atrial Myocytes: Possible Role of IP3 Receptor Subtypes. Molecules and Cells. 29(4). 387–396. 13 indexed citations
18.
Hong, Chang‐Soo, Soon‐Jae Kwon, Myeong‐Chan Cho, et al.. (2008). Overexpression of junctate induces cardiac hypertrophy and arrhythmia via altered calcium handling. Journal of Molecular and Cellular Cardiology. 44(4). 672–682. 29 indexed citations
19.
Lee, Sunwoo, et al.. (2008). Fluid pressure modulates L-type Ca2+ channel via enhancement of Ca2+-induced Ca2+ release in rat ventricular myocytes. American Journal of Physiology-Cell Physiology. 294(4). C966–C976. 22 indexed citations
20.
Kim, Tae Soo, et al.. (1999). An L-Type Thioltransferase from Arabidopsis thaliana Leaves. BMB Reports. 32(6). 605–609. 2 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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