Sung-Hyun Kim

1.7k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Sung-Hyun Kim is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Sung-Hyun Kim has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Sung-Hyun Kim's work include CRISPR and Genetic Engineering (3 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (2 papers). Sung-Hyun Kim is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (2 papers). Sung-Hyun Kim collaborates with scholars based in South Korea, United States and China. Sung-Hyun Kim's co-authors include Sangyong Jon, Hyon E. Choy, Sang‐Hyun Kim, Jung Joon Min, Vipul Gujrati, Zigang Dong, Ann M. Bode, Myoung Ok Kim, Seong‐Ryong Kim and Gynheung An and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and ACS Nano.

In The Last Decade

Sung-Hyun Kim

24 papers receiving 1.3k citations

Hit Papers

Bioengineered Bacterial Outer Membrane Vesicles as Cell-S... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung-Hyun Kim South Korea 17 766 192 188 177 111 26 1.3k
Xinying Jia Australia 26 1.2k 1.6× 88 0.5× 84 0.4× 63 0.4× 100 0.9× 56 2.0k
Alessandra Romanelli Italy 28 1.6k 2.1× 121 0.6× 432 2.3× 102 0.6× 180 1.6× 101 2.2k
Abdollah Allahverdi Iran 20 984 1.3× 205 1.1× 90 0.5× 70 0.4× 52 0.5× 50 1.3k
Erez Koren Israel 17 972 1.3× 290 1.5× 141 0.8× 54 0.3× 50 0.5× 42 1.7k
Ricardo Gutiérrez–Gallego Spain 25 1.1k 1.4× 83 0.4× 50 0.3× 62 0.4× 75 0.7× 70 1.8k
Koshi Imami Japan 23 1.1k 1.4× 133 0.7× 51 0.3× 53 0.3× 119 1.1× 59 1.7k
Shaojun Pan China 19 613 0.8× 399 2.1× 59 0.3× 56 0.3× 134 1.2× 30 1.1k
Stephen M. Fuchs United States 20 1.8k 2.3× 56 0.3× 60 0.3× 125 0.7× 60 0.5× 42 2.0k
Yuejun Fu China 17 632 0.8× 76 0.4× 60 0.3× 91 0.5× 149 1.3× 90 1.0k
Prisca Boisguérin France 24 1.5k 1.9× 72 0.4× 130 0.7× 40 0.2× 82 0.7× 73 1.8k

Countries citing papers authored by Sung-Hyun Kim

Since Specialization
Citations

This map shows the geographic impact of Sung-Hyun 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-Hyun 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-Hyun Kim more than expected).

Fields of papers citing papers by Sung-Hyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Hyun Kim. A scholar is included among the top collaborators of Sung-Hyun 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-Hyun Kim. Sung-Hyun 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
2.
Kim, Sung-Hyun, Sumin Yang, Key‐Hwan Lim, et al.. (2021). Prediction of Alzheimer’s disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening. Proceedings of the National Academy of Sciences. 118(3). 18 indexed citations
3.
Choi, Hyun Ho, Young Dae Cho, Dong Hyun Yoo, et al.. (2020). Impact of fetal-type posterior cerebral artery on recanalization of posterior communicating artery aneurysms after coil embolization: matched-pair case–control study. Journal of NeuroInterventional Surgery. 12(8). 783–787. 17 indexed citations
4.
Jung, Ji‐Youn, Sung-Hyun Kim, Nam‐Pyo Cho, et al.. (2019). ABT-263 exhibits apoptosis-inducing potential in oral cancer cells by targeting C/EBP-homologous protein. Cellular Oncology. 42(3). 357–368. 19 indexed citations
5.
Park, Song, Jain Jeong, Jinhee Lee, et al.. (2017). hMAGEA2 promotes progression of breast cancer by regulating Akt and Erk1/2 pathways. Oncotarget. 8(23). 37115–37127. 6 indexed citations
6.
Jo, Dong Hyun, Sung-Hyun Kim, Daejin Kim, et al.. (2014). VEGF-binding aptides and the inhibition of choroidal and retinal neovascularization. Biomaterials. 35(9). 3052–3059. 16 indexed citations
7.
Kim, Eun‐Hee, Sung-Hyun Kim, Hae‐Kap Cheong, et al.. (2014). An Unusual Protein–Protein Interaction through Coupled Unfolding and Binding. Angewandte Chemie International Edition. 53(37). 9784–9787. 11 indexed citations
8.
Lee, Mee‐Hyun, Zunnan Huang, Dong Joon Kim, et al.. (2013). Direct Targeting of MEK1/2 and RSK2 by Silybin Induces Cell-Cycle Arrest and Inhibits Melanoma Cell Growth. Cancer Prevention Research. 6(5). 455–465. 51 indexed citations
9.
Kim, Myoung Ok, Mee‐Hyun Lee, Naomi Oi, et al.. (2013). [6]-Shogaol inhibits growth and induces apoptosis of non-small cell lung cancer cells by directly regulating Akt1/2. Carcinogenesis. 35(3). 683–691. 79 indexed citations
10.
Kim, Sung-Hyun, Tetsuo Oikawa, Junko Kyozuka, et al.. (2012). The bHLH Rac Immunity1 (RAI1) Is Activated by OsRac1 via OsMAPK3 and OsMAPK6 in Rice Immunity. Plant and Cell Physiology. 53(4). 740–754. 74 indexed citations
11.
Hwang, Seung Rim, Dong-Hyun Seo, Taslim A. Al‐Hilal, et al.. (2012). Orally active desulfated low molecular weight heparin and deoxycholic acid conjugate, 6ODS-LHbD, suppresses neovascularization and bone destruction in arthritis. Journal of Controlled Release. 163(3). 374–384. 19 indexed citations
12.
Jeong, Chul-Ho, Yong‐Yeon Cho, Myoung-Ok Kim, et al.. (2012). Phosphorylation of Sox2 Cooperates in Reprogramming to Pluripotent Stem Cells. Stem Cells. 30(9). 2064–2064.
13.
Jin, Young‐Joo, et al.. (2012). Proteome analysis of developing mice diastema region. BMB Reports. 45(6). 337–341. 2 indexed citations
14.
Kim, Myoung Ok, Sung-Hyun Kim, Yong‐Yeon Cho, et al.. (2012). ERK1 and ERK2 regulate embryonic stem cell self-renewal through phosphorylation of Klf4. Nature Structural & Molecular Biology. 19(3). 283–290. 144 indexed citations
15.
Kim, Sung-Hyun, So‐Jung Choi, Joon Suk Park, et al.. (2012). Tropism between hepatic and pulmonary metastases in colorectal cancers. Oncology Reports. 28(2). 459–464. 6 indexed citations
16.
Won, Sung-Yoon, Sung-Hyun Kim, Doo‐Jin Paik, et al.. (2010). Trabecular Bone Ratio of Mandible Using Micro-Computed Tomography in Korean. Journal of Craniofacial Surgery. 21(3). 920–924. 10 indexed citations
17.
Kim, Young‐Man, et al.. (2010). Evaluation of Antioxidant Activities and Active Compounds Separated from Water Soluble Extracts of Korean Black Pine Barks. Bulletin of the Korean Chemical Society. 31(12). 3567–3572. 15 indexed citations
18.
Jeong, Chul-Ho, Yong‐Yeon Cho, Myoung-Ok Kim, et al.. (2010). Phosphorylation of Sox2 Cooperates in Reprogramming to Pluripotent Stem Cells. Stem Cells. 28(12). 2141–2150. 117 indexed citations
19.
An, Gynheung, Shin-Young Lee, Sung-Hyun Kim, & Seong‐Ryong Kim. (2005). Molecular Genetics Using T-DNA in Rice. Plant and Cell Physiology. 46(1). 14–22. 88 indexed citations
20.
Hwang, Do‐Hoon, Suk-Kyung Kim, Moo‐Jin Park, et al.. (2004). Conjugated Polymers Based on Phenothiazine and Fluorene in Light-Emitting Diodes and Field Effect Transistors. Chemistry of Materials. 16(7). 1298–1303. 113 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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