Kyunggon Kim

2.7k total citations
94 papers, 1.6k citations indexed

About

Kyunggon Kim is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Spectroscopy. According to data from OpenAlex, Kyunggon Kim has authored 94 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Spectroscopy. Recurrent topics in Kyunggon Kim's work include Advanced Proteomics Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Extracellular vesicles in disease (9 papers). Kyunggon Kim is often cited by papers focused on Advanced Proteomics Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Extracellular vesicles in disease (9 papers). Kyunggon Kim collaborates with scholars based in South Korea, United States and Ethiopia. Kyunggon Kim's co-authors include Youngsoo Kim, Jiyoung Yu, Dohyun Han, Kyong Soo Park, Hyeong Gon Yu, Hee‐Sung Ahn, Jeonghun Yeom, Sang Jin Kim, Youngsoo Kim and Yup Kang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Kyunggon Kim

88 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyunggon Kim South Korea 24 961 231 155 151 144 94 1.6k
Francesco Giorgianni United States 21 796 0.8× 268 1.2× 133 0.9× 94 0.6× 78 0.5× 46 1.5k
Kazuishi Kubota Japan 20 1.1k 1.1× 160 0.7× 139 0.9× 78 0.5× 74 0.5× 43 2.0k
Rajasree Menon United States 24 1.7k 1.8× 248 1.1× 332 2.1× 122 0.8× 120 0.8× 55 2.3k
Sasha A. Singh United States 24 1.4k 1.5× 136 0.6× 235 1.5× 183 1.2× 251 1.7× 83 2.5k
Manousos Makridakis Greece 27 1.0k 1.1× 309 1.3× 299 1.9× 107 0.7× 398 2.8× 86 2.0k
Tosifusa Toda Japan 25 1.2k 1.2× 231 1.0× 254 1.6× 127 0.8× 45 0.3× 71 2.0k
Zhengguang Guo China 20 622 0.6× 264 1.1× 167 1.1× 46 0.3× 109 0.8× 71 1.2k
Hong Shu China 22 780 0.8× 76 0.3× 309 2.0× 80 0.5× 146 1.0× 94 1.4k
Harmjan R. Vos Netherlands 24 1.3k 1.3× 150 0.6× 188 1.2× 106 0.7× 176 1.2× 58 1.8k
Julia M. Burkhart Germany 17 1.0k 1.0× 390 1.7× 135 0.9× 59 0.4× 61 0.4× 20 1.8k

Countries citing papers authored by Kyunggon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kyunggon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyunggon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kyunggon Kim. A scholar is included among the top collaborators of Kyunggon 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 Kyunggon Kim. Kyunggon 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.
Choi, Kyoung‐Hee, Dae‐Hee Kim, Jong‐Min Song, et al.. (2025). Spermidine Enhances Mitochondrial Function and Mitigates Aortic Valve Calcification. JACC Basic to Translational Science. 10(3). 345–366. 1 indexed citations
2.
Yu, Jiyoung, Hee‐Sung Ahn, Mi‐Jeong Kim, et al.. (2025). eIF2α phosphorylation-ATF4 axis-mediated transcriptional reprogramming mitigates mitochondrial impairment during ER stress. Molecules and Cells. 48(2). 100176–100176. 4 indexed citations
3.
Lee, Haekyung, Jae‐A Han, Hee‐Sung Ahn, et al.. (2025). Impact of diabetes on proteomic changes in circulating extracellular vesicles in individuals with obesity before and after bariatric surgery. International Journal of Obesity. 49(9). 1874–1881.
4.
Son, Hyo Jin, Su Jin Lee, Gyeongmin Kim, et al.. (2025). Drosophila ubiquitin-specific peptidase 14 stabilizes the PERIOD protein by regulating a ubiquitin ligase SLIMB. Communications Biology. 8(1). 191–191. 1 indexed citations
5.
Kim, Kyunggon, et al.. (2025). SOD2 expression in patients with triple-negative breast cancer is associated with tumor-infiltrating lymphocytes and prognosis. Breast Cancer Research and Treatment. 213(1). 181–192.
6.
7.
Ahn, Hee‐Sung, Eunsung Jun, Yeon‐Mi Ryu, et al.. (2024). Characterization of lymphocyte‐rich hepatocellular carcinoma and the prognostic role of tertiary lymphoid structures. Liver International. 44(5). 1202–1218. 11 indexed citations
8.
Kim, Kyunggon, et al.. (2024). Dualistic Effects of PRKAR1A as a Potential Anticancer Target in Cancer Cells and Cancer-Derived Stem Cells. International Journal of Molecular Sciences. 25(5). 2876–2876.
9.
Whang, Chang‐Hee, Wonsik Jung, Yujin Kim, et al.. (2024). Glycocalyx‐Mimicking Nanoparticles with Differential Organ Selectivity for Drug Delivery and Therapy. Advanced Materials. 36(27). e2311283–e2311283. 9 indexed citations
10.
Jeon, Min Ji, Woo Kyung Lee, Dong Eun Song, et al.. (2024). Macrophage-Induced Carboxypeptidase A4 Promotes the Progression of Anaplastic Thyroid Cancer. Thyroid. 34(9). 1150–1162. 6 indexed citations
11.
Ahn, Hee‐Sung, Jeonghun Yeom, Jiyoung Yu, et al.. (2023). Generating Detailed Spectral Libraries for Canine Proteomes Obtained from Serum and Urine. Scientific Data. 10(1). 241–241. 1 indexed citations
12.
Jang, Yoon Ok, Hee‐Sung Ahn, Wangyong Shin, et al.. (2023). Magnetic transferrin nanoparticles (MTNs) assay as a novel isolation approach for exosomal biomarkers in neurological diseases. Biomaterials Research. 27(1). 12–12. 23 indexed citations
13.
Kim, Kyunggon, So Jeong Park, Jin Young Lee, et al.. (2023). Higher Plasma Stromal Cell-Derived Factor 1 Is Associated with Lower Risk for Sarcopenia in Older Asian Adults. Endocrinology and Metabolism. 38(6). 701–708. 3 indexed citations
14.
Park, So Jeong, Hyun Ju Yoo, Kyunggon Kim, et al.. (2023). Circulating lumican as a potential biomarker for osteosarcopenia in older adults. Bone. 179. 116959–116959. 3 indexed citations
15.
16.
Ahn, Hee‐Sung, Jeonghun Yeom, Won Young Park, et al.. (2022). Comparative Analysis of Proteomes and Phosphoproteomes in Patients with Prostate Cancer Using Different Surgical Conditions. The World Journal of Men s Health. 40(4). 608–608. 1 indexed citations
17.
Huang, Zhijun, Jiyoung Yu, Wei Cui, et al.. (2021). The chromosomal protein SMCHD1 regulates DNA methylation and the 2c-like state of embryonic stem cells by antagonizing TET proteins. Science Advances. 7(4). 35 indexed citations
18.
Kim, Eun Young, Hee‐Sung Ahn, Min Young Lee, et al.. (2020). An Exploratory Pilot Study with Plasma Protein Signatures Associated with Response of Patients with Depression to Antidepressant Treatment for 10 Weeks. Biomedicines. 8(11). 455–455. 13 indexed citations
19.
Kang, Min‐Ji, Deepika Vasudevan, Kwonyoon Kang, et al.. (2016). 4E-BP is a target of the GCN2–ATF4 pathway during Drosophila development and aging. The Journal of Cell Biology. 216(1). 115–129. 78 indexed citations
20.
Kim, Taeoh, Sang Jin Kim, Kyunggon Kim, et al.. (2007). Profiling of vitreous proteomes from proliferative diabetic retinopathy and nondiabetic patients. PROTEOMICS. 7(22). 4203–4215. 77 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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