Sung Joon Kim

20.1k total citations
360 papers, 6.8k citations indexed

About

Sung Joon Kim is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sung Joon Kim has authored 360 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Molecular Biology, 88 papers in Cardiology and Cardiovascular Medicine and 57 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sung Joon Kim's work include Ion channel regulation and function (103 papers), Cardiac electrophysiology and arrhythmias (67 papers) and Ion Channels and Receptors (39 papers). Sung Joon Kim is often cited by papers focused on Ion channel regulation and function (103 papers), Cardiac electrophysiology and arrhythmias (67 papers) and Ion Channels and Receptors (39 papers). Sung Joon Kim collaborates with scholars based in South Korea, Ethiopia and United States. Sung Joon Kim's co-authors include Joo‐Hyun Nam, Insuk So, Yin Hua Zhang, Markus Warmuth, Sang Ook Kang, Gang Xia, Danny Reinberg, Jaejung Ko, Hae Young Yoo and Yung E. Earm and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Sung Joon Kim

340 papers receiving 6.6k citations

Peers

Sung Joon Kim
Jae‐Yong Park South Korea
Jianjie Ma United States
Ian C. Mackenzie United Kingdom
Michael J. Caplan United States
Peter A. Friedman United States
Richard D. Minshall United States
Jae‐Yong Park South Korea
Sung Joon Kim
Citations per year, relative to Sung Joon Kim Sung Joon Kim (= 1×) peers Jae‐Yong Park

Countries citing papers authored by Sung Joon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sung Joon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung Joon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Joon Kim. A scholar is included among the top collaborators of Sung Joon 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 Sung Joon Kim. Sung Joon 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.
Singh, Manish, et al.. (2025). Solving Multidimensional Partial Differential Equations Using Efficient Quantum Circuits. Algorithms. 18(3). 176–176. 1 indexed citations
2.
Choi, Seong Woo, Seung Hee Choi, Hyun Kang, et al.. (2023). Insulin signaling is critical for sinoatrial node maintenance and function. Experimental & Molecular Medicine. 55(5). 965–973. 4 indexed citations
3.
Sunwoo, Sung‐Hyuk, Myung‐Jin Cha, Sang Ihn Han, et al.. (2023). Ventricular tachyarrhythmia treatment and prevention by subthreshold stimulation with stretchable epicardial multichannel electrode array. Science Advances. 9(13). eadf6856–eadf6856. 37 indexed citations
4.
Kim, Jae Hyeon, Sunho Kim, Eun‐Kyung Ahn, et al.. (2022). Broussonin A– and B–mediated inhibition of angiogenesis by blockade of VEGFR‐2 signalling pathways and integrin β1 expression. Journal of Cellular and Molecular Medicine. 26(4). 1194–1205. 5 indexed citations
5.
Jeon, Young Keul, et al.. (2022). Lower troponin expression in the right ventricle of rats explains interventricular differences in E–C coupling. The Journal of General Physiology. 154(3). 3 indexed citations
6.
Yoo, Hae Young & Sung Joon Kim. (2021). Oxygen-dependent regulation of ion channels: acute responses, post-translational modification, and response to chronic hypoxia. Pflügers Archiv - European Journal of Physiology. 473(10). 1589–1602. 5 indexed citations
7.
Jeon, Young Keul, et al.. (2021). Intramolecular Disulfide Bonds for Biogenesis of CALHM1 Ion Channel Are Dispensable for Voltage-Dependent Activation. Molecules and Cells. 44(10). 758–769. 4 indexed citations
8.
Kim, Jae Sik, Seong Woo Choi, Sung Joon Kim, et al.. (2021). Impact of High-Dose Irradiation on Human iPSC-Derived Cardiomyocytes Using Multi-Electrode Arrays: Implications for the Antiarrhythmic Effects of Cardiac Radioablation. International Journal of Molecular Sciences. 23(1). 351–351. 18 indexed citations
9.
Jeon, Young Keul, Jae Boum Youm, Kotdaji Ha, et al.. (2020). Teaching cardiac excitation-contraction coupling using a mathematical computer simulation model of human ventricular myocytes. AJP Advances in Physiology Education. 44(3). 323–333. 3 indexed citations
10.
Jun, Ikhyun, et al.. (2019). Temperature-dependent increase in the calcium sensitivity and acceleration of activation of ANO6 chloride channel variants. Scientific Reports. 9(1). 6706–6706. 10 indexed citations
11.
Kim, Hae Jin, et al.. (2019). Fast relaxation and desensitization of angiotensin II contraction in the pulmonary artery via AT1R and Akt-mediated phosphorylation of muscular eNOS. Pflügers Archiv - European Journal of Physiology. 471(10). 1317–1330. 4 indexed citations
12.
Choi, Seong Woo, et al.. (2019). The novel high-frequency variant of TRPV3 p.A628T in East Asians showing faster sensitization in response to chemical agonists. Pflügers Archiv - European Journal of Physiology. 471(10). 1273–1289. 2 indexed citations
13.
Kim, Hae Jin, et al.. (2019). Endurance exercise training restores atrophy-induced decreases of myogenic response and ionic currents in rat skeletal muscle artery. Journal of Applied Physiology. 126(6). 1713–1724. 2 indexed citations
14.
Kwon, Sun‐Ho, Song Hee Lee, Chung‐Hyun Cho, et al.. (2018). T Cell-Specific Knockout of STAT3 Ameliorates Dextran Sulfate Sodium-Induced Colitis by Reducing the Inflammatory Response. Immune Network. 18(4). e30–e30. 18 indexed citations
15.
Zhang, Yin Hua, et al.. (2017). Identification of critical amino acids in the proximal C-terminal of TREK-2 K+ channel for activation by acidic pHi and ATP-dependent inhibition. Pflügers Archiv - European Journal of Physiology. 470(2). 327–337. 8 indexed citations
16.
Jin, Chun Zi, Dong Hoon Shin, Kyung Park, et al.. (2011). Exercise training increases inwardly rectifying K+ current and augments K+-mediated vasodilatation in deep femoral artery of rats. Cardiovascular Research. 91(1). 142–150. 12 indexed citations
17.
Park, Sei-Kyoung, et al.. (2010). Role of arachidonic acid-derived metabolites in the control of pulmonary arterial pressure and hypoxic pulmonary vasoconstriction in rats. British Journal of Anaesthesia. 106(1). 31–37. 19 indexed citations
18.
Kim, Suhan, et al.. (2007). A Case of Eosinophilic, Polymorphic, and Pruritic Eruption Associated with Radiotherapy in a Patient with Breast Cancer. Linchuang pifuke zazhi. 45(1). 79–81. 1 indexed citations
19.
Galkin, Anna, Sung Joon Kim, Tami Hood, et al.. (2006). Identification of NVP-TAE684, a potent, selective, and efficacious inhibitor of NPM-ALK. Proceedings of the National Academy of Sciences. 104(1). 270–275. 289 indexed citations
20.
Kim, Jun Hee, et al.. (2003). Effects of noradrenaline on the membrane potential of prostatic neuroendocrine cells of rat. Korean Journal of Physiology and Pharmacology. 7(1). 47–52. 1 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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