Yong-Sam Kim

1.6k total citations
43 papers, 1.1k citations indexed

About

Yong-Sam Kim is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Yong-Sam Kim has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Yong-Sam Kim's work include Glycosylation and Glycoproteins Research (16 papers), CRISPR and Genetic Engineering (11 papers) and Galectins and Cancer Biology (8 papers). Yong-Sam Kim is often cited by papers focused on Glycosylation and Glycoproteins Research (16 papers), CRISPR and Genetic Engineering (11 papers) and Galectins and Cancer Biology (8 papers). Yong-Sam Kim collaborates with scholars based in South Korea, Japan and South Africa. Yong-Sam Kim's co-authors include Jeong‐Heon Ko, Su Bin Moon, Do Yon Kim, Jong Shin Yoo, Daesik Kim, Yeong Hee Ahn, Jeong Heon Ko, Donghern Kim, Jeong Gu Kang and Jin Jung and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Biotechnology.

In The Last Decade

Yong-Sam Kim

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong-Sam Kim South Korea 17 988 167 158 118 89 43 1.1k
Derek Jantz United States 15 980 1.0× 308 1.8× 75 0.5× 14 0.1× 263 3.0× 21 1.2k
Naoko Fujimoto Japan 11 870 0.9× 36 0.2× 57 0.4× 16 0.1× 193 2.2× 16 1.1k
Vincent Brondani Switzerland 12 1.0k 1.0× 121 0.7× 96 0.6× 4 0.0× 196 2.2× 17 1.2k
Jun Seop Jeong United States 11 734 0.7× 141 0.8× 131 0.8× 55 0.5× 50 0.6× 17 977
Benedict C. S. Cross United Kingdom 13 636 0.6× 26 0.2× 121 0.8× 15 0.1× 143 1.6× 18 1.0k
Peter C. Fridy United States 11 814 0.8× 195 1.2× 87 0.6× 47 0.4× 39 0.4× 18 1.1k
Ursula Ryder Germany 15 2.0k 2.0× 89 0.5× 52 0.3× 170 1.4× 85 1.0× 17 2.1k
Sabrina Shore United States 7 505 0.5× 18 0.1× 55 0.3× 173 1.5× 72 0.8× 8 620
Megan van Overbeek United States 12 1.7k 1.7× 182 1.1× 28 0.2× 6 0.1× 161 1.8× 13 1.9k
Celia Jerónimo Canada 19 1.6k 1.6× 129 0.8× 64 0.4× 51 0.4× 69 0.8× 32 1.7k

Countries citing papers authored by Yong-Sam Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yong-Sam Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong-Sam Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yong-Sam Kim. A scholar is included among the top collaborators of Yong-Sam 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 Yong-Sam Kim. Yong-Sam 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.
An, Yan, Su-Jin Lee, S Go, et al.. (2023). Design of hypoxia responsive CRISPR-Cas9 for target gene regulation. Scientific Reports. 13(1). 16763–16763. 3 indexed citations
2.
Moon, Ki-Beom, Sujin Park, Hyo‐Jun Lee, et al.. (2022). Editing of StSR4 by Cas9-RNPs confers resistance to Phytophthora infestans in potato. Frontiers in Plant Science. 13. 997888–997888. 15 indexed citations
3.
Lee, Yujin, et al.. (2022). Hypercompact adenine base editors based on a Cas12f variant guided by engineered RNA. Nature Chemical Biology. 18(9). 1005–1013. 33 indexed citations
4.
Oh, Mi-Jung, Jeong Gu Kang, Heeyoun Hwang, et al.. (2022). Defect in cytosolic Neu2 sialidase abrogates lipid metabolism and impairs muscle function in vivo. Scientific Reports. 12(1). 3216–3216. 3 indexed citations
5.
Kim, Yong-Sam, et al.. (2021). Detection of Infectious Viruses Using CRISPR-Cas12-Based Assay. Biosensors. 11(9). 301–301. 39 indexed citations
6.
Lee, Hyun Kyoung, Jeong Gu Kang, Gun Wook Park, et al.. (2020). Selective Identification of α-Galactosyl Epitopes inN-Glycoproteins Using Characteristic Fragment Ions from Higher-Energy Collisional Dissociation. Analytical Chemistry. 92(19). 13144–13154. 8 indexed citations
7.
Moon, Su Bin, Jeong Gu Kang, Do Yon Kim, et al.. (2018). Highly efficient genome editing by CRISPR-Cpf1 using CRISPR RNA with a uridinylate-rich 3′-overhang. Nature Communications. 9(1). 3651–3651. 134 indexed citations
8.
Kim, Gyu Ri, et al.. (2017). Inhibition of Apoptosis and Anti-inflammatory Effects of Embelin. Asian Journal of Beauty and Cosmetology. 16(1). 103–112. 2 indexed citations
9.
Kim, Sun Hee, Jong Seok Lee, Jeong Hwan Shin, et al.. (2016). Identification of Mycobacterial Antigens in Human Urine by Use of Immunoglobulin G Isolated from Sera of Patients with Active Pulmonary Tuberculosis. Journal of Clinical Microbiology. 54(6). 1631–1637. 6 indexed citations
10.
Kim, Yong-Sam, et al.. (2016). ERK-mediated phosphorylation of BIS regulates nuclear translocation of HSF1 under oxidative stress. Experimental & Molecular Medicine. 48(9). e260–e260. 15 indexed citations
11.
12.
Kim, Sun Hee, Jeong Gu Kang, Jong Shin Yoo, et al.. (2014). Semi-quantitative Measurement of a Specific Glycoform Using a DNA-tagged Antibody and Lectin Affinity Chromatography for Glyco-biomarker Development *. Molecular & Cellular Proteomics. 14(3). 782–795. 9 indexed citations
13.
Ahn, Yeong Hee, et al.. (2013). Quantitative analysis of aberrant protein glycosylation in liver cancer plasma by AAL-enrichment and MRM mass spectrometry. The Analyst. 138(21). 6454–6454. 24 indexed citations
14.
Kim, Yong-Sam, Yeong Hee Ahn, Kyoung Song, et al.. (2012). Overexpression and β-1,6-N-Acetylglucosaminylation-initiated Aberrant Glycosylation of TIMP-1. Journal of Biological Chemistry. 287(39). 32467–32478. 36 indexed citations
15.
Ahn, Yeong Hee, Eun Sun Ji, Kwang Hoe Kim, et al.. (2011). A multiplex lectin-channel monitoring method for human serum glycoproteins by quantitative mass spectrometry. The Analyst. 137(3). 691–703. 14 indexed citations
16.
Ahn, Hyun Joo, Yong-Sam Kim, Chul‐Ho Lee, et al.. (2010). Generation of antibodies recognizing an aberrant glycoform of human tissue inhibitor of metalloproteinase-1 (TIMP-1) using decoy immunization and phage display. Journal of Biotechnology. 151(2). 225–230. 6 indexed citations
17.
Kim, Yong-Sam, Yeong Hee Ahn, Jong Shin Yoo, et al.. (2010). Galectin-3 binding protein promotes cell motility in colon cancer by stimulating the shedding of protein tyrosine phosphatase kappa by proprotein convertase 5. Biochemical and Biophysical Research Communications. 404(1). 96–102. 26 indexed citations
18.
19.
Kim, Yong-Sam, Donghern Kim, & Jin Gyoung Jung. (2000). Two isoforms of soluble auxin receptor in rice (Oryza sativa L.) plants: Binding property for auxin and interaction with plasma membrane H+-ATPase. Plant Growth Regulation. 32(2-3). 143–150. 15 indexed citations
20.
Kim, Yong-Sam, Donghern Kim, & Jin Jung. (1998). Isolation of a novel auxin receptor from soluble fractions of rice (Oryza sativa L.) shoots. FEBS Letters. 438(3). 241–244. 21 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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