Sungchan Kim

2.6k total citations
98 papers, 2.0k citations indexed

About

Sungchan Kim is a scholar working on Hardware and Architecture, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Sungchan Kim has authored 98 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Hardware and Architecture, 32 papers in Computer Networks and Communications and 24 papers in Molecular Biology. Recurrent topics in Sungchan Kim's work include Parallel Computing and Optimization Techniques (27 papers), Embedded Systems Design Techniques (25 papers) and Interconnection Networks and Systems (23 papers). Sungchan Kim is often cited by papers focused on Parallel Computing and Optimization Techniques (27 papers), Embedded Systems Design Techniques (25 papers) and Interconnection Networks and Systems (23 papers). Sungchan Kim collaborates with scholars based in South Korea, United States and Switzerland. Sungchan Kim's co-authors include Soonhoi Ha, Yingming Zhao, Hyunok Oh, Junmei Zhang, Nick V. Grishin, Jimin Pei, Heng Zhu, Xiaohong Tan, Chuan‐Fa Liu and Robert W. Sprung and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Sungchan Kim

94 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungchan Kim South Korea 22 869 449 418 276 174 98 2.0k
Samuel Payne United States 34 2.7k 3.1× 118 0.3× 145 0.3× 150 0.5× 113 0.6× 108 4.0k
Mao Yang China 26 1.3k 1.4× 499 1.1× 155 0.4× 181 0.7× 736 4.2× 90 3.3k
Wei‐Chung Cheng Taiwan 33 2.0k 2.3× 182 0.4× 210 0.5× 370 1.3× 371 2.1× 181 3.7k
David Jackson United Kingdom 23 599 0.7× 161 0.4× 70 0.2× 349 1.3× 241 1.4× 89 1.9k
Corrado Priami Italy 23 1.5k 1.7× 166 0.4× 59 0.1× 75 0.3× 57 0.3× 182 2.4k
P. S. Thiagarajan Singapore 18 448 0.5× 185 0.4× 188 0.4× 88 0.3× 80 0.5× 84 1.4k
Fei Feng China 22 424 0.5× 358 0.8× 38 0.1× 106 0.4× 109 0.6× 79 1.7k
Zhiguang Chen China 11 361 0.4× 194 0.4× 82 0.2× 43 0.2× 70 0.4× 91 1.1k
Ye Ding China 44 4.6k 5.3× 89 0.2× 130 0.3× 327 1.2× 446 2.6× 180 6.9k
Zhenbang Chen United States 33 4.9k 5.6× 148 0.3× 80 0.2× 1.6k 5.7× 693 4.0× 131 7.5k

Countries citing papers authored by Sungchan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sungchan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungchan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sungchan Kim. A scholar is included among the top collaborators of Sungchan 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 Sungchan Kim. Sungchan 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.
Park, Yohan, et al.. (2024). Function of a complex of p‐ Y42 RhoA GTPase and pyruvate kinase M2 in EGF signaling pathway in glioma cells. Journal of Neurochemistry. 169(1). e16210–e16210. 3 indexed citations
2.
Kim, Jung Yun, Seok Won Ham, Eunjung Kim, et al.. (2023). Jagged1 intracellular domain/SMAD3 complex transcriptionally regulates TWIST1 to drive glioma invasion. Cell Death and Disease. 14(12). 822–822. 5 indexed citations
3.
4.
Lee, Jungmin, Hong‐Won Suh, Soon Sung Lim, et al.. (2021). Purple corn extract (PCE) alleviates cigarette smoke (CS)-induced DNA damage in rodent blood cells by activation of AMPK/Foxo3a/MnSOD pathway. Animal Cells and Systems. 25(1). 65–73. 7 indexed citations
5.
Kim, Sungchan, et al.. (2021). Explaining Neural Networks Using Attentive Knowledge Distillation. Sensors. 21(4). 1280–1280. 4 indexed citations
6.
Yoon, Jaeho, Vijay Kumar, Sungchan Kim, et al.. (2021). Bmp Signal Gradient Modulates Convergent Cell Movement via Xarhgef3.2 during Gastrulation of Xenopus Embryos. Cells. 11(1). 44–44. 3 indexed citations
7.
Kim, Sungchan, et al.. (2020). BP-GAN: Interpretable Human Branchpoint Prediction Using Attentive Generative Adversarial Networks. IEEE Access. 8. 97851–97862. 4 indexed citations
8.
Kim, Sungchan, et al.. (2017). Safety Assessment of LNG Transferring System subjected to gas leakage using FMEA and FTA. 3(3). 125–135. 2 indexed citations
9.
Kim, Myoung‐Ju, Hee‐Jun Kim, Jae‐Yong Lee, et al.. (2016). Wnt3A Induces GSK‐3β Phosphorylation and β‐Catenin Accumulation Through RhoA/ROCK. Journal of Cellular Physiology. 232(5). 1104–1113. 49 indexed citations
10.
Kim, Sungchan, Han Sub Kwak, & Yoonhwa Jeong. (2016). Effect of Water Roux Starter (Tangzhong) on Texture and Consumer Acceptance of Rice Pan Bread. Journal of Texture Studies. 48(1). 39–46. 10 indexed citations
11.
Kim, Hee‐Jun, Jae‐Yong Lee, Jaebong Kim, et al.. (2013). Small GTPase Rap1 regulates cell migration through regulation of small GTPase RhoA activity in response to transforming growth factor‐β1. Journal of Cellular Physiology. 228(11). 2119–2126. 22 indexed citations
12.
Kim, Jeong‐Hyeon, Jeong Min Lee, Sungchan Kim, et al.. (2013). Antioxidant Activity and Its Mechanism of Paeonia lactiflora Pall Extract. Natural Product Sciences. 19(1). 49–53. 3 indexed citations
13.
Lee, Chanhee, Sungchan Kim, & Soonhoi Ha. (2013). Efficient run-time resource management of a manycore accelerator for stream-based applications. 51–60. 8 indexed citations
14.
Kim, Sungchan, Hyunok Oh, Chanik Park, Sangyeun Cho, & Sang-Won Lee. (2011). Fast, Energy Efficient Scan inside Flash Memory.. Very Large Data Bases. 36–43. 22 indexed citations
15.
Kim, Sungchan, et al.. (2009). On-chip communication architecture exploration for processor-pool-based MPSoC. Design, Automation, and Test in Europe. 466–471. 5 indexed citations
16.
Cheng, Zhongyi, Yi Tang, Yue Chen, et al.. (2008). Molecular Characterization of Propionyllysines in Non-histone Proteins. Molecular & Cellular Proteomics. 8(1). 45–52. 133 indexed citations
17.
Kim, Sungchan & Soonhoi Ha. (2006). Efficient exploration of bus-based system-on-chip architectures. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 14(7). 681–692. 21 indexed citations
18.
Kim, Sungchan, et al.. (2000). Application of VIMS HEM-3D to a Macro-Tidal Environment. Estuarine and Coastal Modeling. 238–249. 2 indexed citations
19.
Kim, Sungchan & Jye Chen. (1999). Bottom Stress of Wind-Driven Currents Over an Inner Shelf Determined from Depth-Integrated Storm Surge Model. Journal of Coastal Research. 15(3). 766–773. 3 indexed citations
20.
Kim, Sungchan, L. D. Wright, Jerome P.‐Y. Maa, & Jian Shen. (1998). Morphodynamic Responses to Extratropical Meteorological Forcing on the Inner Shelf of the Middle Atlantic Bight: Wind Waves, Currents, and Suspended Sediment Transport. Estuarine and Coastal Modeling. 456–466. 13 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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