Yong Kim

2.7k total citations
52 papers, 1.8k citations indexed

About

Yong Kim is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yong Kim has authored 52 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Yong Kim's work include Cancer Genomics and Diagnostics (7 papers), Cancer-related molecular mechanisms research (7 papers) and Extracellular vesicles in disease (6 papers). Yong Kim is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Cancer-related molecular mechanisms research (7 papers) and Extracellular vesicles in disease (6 papers). Yong Kim collaborates with scholars based in United States, South Korea and Taiwan. Yong Kim's co-authors include David T. Wong, Xiaofeng Zhou, David Elashoff, Richard C. Jordan, David W. Eisele, Yang Li, No-Hee Park, Maie A.R. St. John, Uttam K. Sinha and Elliot Abemayor and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yong Kim

48 papers receiving 1.8k 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 Kim United States 22 934 527 339 241 186 52 1.8k
Shiro Mori Japan 31 626 0.7× 197 0.4× 86 0.3× 90 0.4× 735 4.0× 123 2.6k
Viswanathan Palanisamy United States 22 1.7k 1.8× 986 1.9× 131 0.4× 79 0.3× 176 0.9× 31 2.0k
Yijie Wang China 22 1.3k 1.4× 698 1.3× 114 0.3× 19 0.1× 133 0.7× 87 2.4k
Pei‐Jen Lou Taiwan 38 1.4k 1.5× 356 0.7× 243 0.7× 92 0.4× 809 4.3× 183 4.6k
Katarzyna Bogunia‐Kubik Poland 28 743 0.8× 279 0.5× 410 1.2× 11 0.0× 175 0.9× 145 2.8k
Shangfeng Liu China 23 817 0.9× 186 0.4× 90 0.3× 44 0.2× 161 0.9× 107 1.8k
Gregor Hütter Switzerland 22 1.4k 1.5× 389 0.7× 235 0.7× 94 0.4× 994 5.3× 46 4.6k
Daniela Elena Costea Norway 31 1.5k 1.6× 822 1.6× 110 0.3× 268 1.1× 349 1.9× 109 3.0k
Manoj Kumar Gupta India 20 538 0.6× 118 0.2× 85 0.3× 48 0.2× 105 0.6× 43 1.0k

Countries citing papers authored by Yong Kim

Since Specialization
Citations

This map shows the geographic impact of Yong 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 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 Kim more than expected).

Fields of papers citing papers by Yong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Kim. A scholar is included among the top collaborators of Yong 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 Kim. Yong 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.
Xia, Jianping, Jessica F. Liu, Ke Li, et al.. (2025). Rapid and comprehensive detection of viral antibodies and nucleic acids via an acoustofluidic integrated molecular diagnostics chip: AIMDx. Science Advances. 11(3). eadt5464–eadt5464. 5 indexed citations
2.
Cheng, Jordan, Feng Li, Chien‐Chung Lin, et al.. (2023). Distinct Features of Plasma Ultrashort Single-Stranded Cell-Free DNA as Biomarkers for Lung Cancer Detection. Clinical Chemistry. 69(11). 1270–1282. 5 indexed citations
3.
Kaczor‐Urbanowicz, Karolina Elżbieta, Tristan Grogan, Feng Li, et al.. (2022). Performance of Salivary Extracellular RNA Biomarker Panels for Gastric Cancer Differs between Distinct Populations. Cancers. 14(15). 3632–3632. 7 indexed citations
4.
Cheng, Jordan, Marco Morselli, Wei-Lun Huang, et al.. (2022). Plasma contains ultrashort single-stranded DNA in addition to nucleosomal cell-free DNA. iScience. 25(7). 104554–104554. 22 indexed citations
5.
Wang, Zeyu, Jun Liu, Shan Huang, et al.. (2022). Gold Nanopyramid Arrays for Non-Invasive Surface-Enhanced Raman Spectroscopy-Based Gastric Cancer Detection via sEVs. ACS Applied Nano Materials. 5(9). 12506–12517. 35 indexed citations
6.
Li, Feng, Wei Fang, Wei-Lun Huang, et al.. (2020). Ultra-Short Circulating Tumor DNA (usctDNA) in Plasma and Saliva of Non-Small Cell Lung Cancer (NSCLC) Patients. Cancers. 12(8). 2041–2041. 34 indexed citations
8.
Lee, Yun Sun, Ho Jun Joh, Murukarthick Jayakodi, et al.. (2017). The Complete Chloroplast Genome Sequence and Intra-Species Diversity of Rhus chinensis. Plant Breeding and Biotechnology. 5(3). 243–251. 6 indexed citations
9.
Lee, Youn Soo, et al.. (2016). Alcohol-Induced Molecular Dysregulation in Human Embryonic Stem Cell-Derived Neural Precursor Cells. PLoS ONE. 11(9). e0163812–e0163812. 13 indexed citations
10.
Cass, Ashley, Jae Hoon Bahn, Jae‐Hyung Lee, et al.. (2016). Global analyses of endonucleolytic cleavage in mammals reveal expanded repertoires of cleavage-inducing small RNAs and their targets. Nucleic Acids Research. 44(7). 3253–3263. 7 indexed citations
11.
Kim, Jeffrey J., Yao Liu, Songtao Shi, et al.. (2016). Alcohol-induced suppression of KDM6B dysregulates the mineralization potential in dental pulp stem cells. Stem Cell Research. 17(1). 111–121. 37 indexed citations
12.
Liu, Yao, Xiaoxing Kou, Chider Chen, et al.. (2016). Chronic High Dose Alcohol Induces Osteopenia via Activation of mTOR Signaling in Bone Marrow Mesenchymal Stem Cells. Stem Cells. 34(8). 2157–2168. 48 indexed citations
13.
Kim, Jisun, Hae-Soon Lim, Sangwoo Kim, et al.. (2016). Effects of HSP27 downregulation on PDT resistance through PDT-induced autophagy in head and neck cancer cells. Oncology Reports. 35(4). 2237–2245. 20 indexed citations
14.
Kim, Jeffrey, et al.. (2014). Molecular effect of ethanol during neural differentiation of human embryonic stem cells in vitro. Genomics Data. 2. 139–143. 10 indexed citations
15.
Kim, Jeffrey, et al.. (2014). Gene expression signatures affected by ethanol and/or nicotine in normal human normal oral keratinocytes (NHOKs). Genomics Data. 2. 156–161. 5 indexed citations
16.
Khalid, Omar, et al.. (2014). Gene expression signatures affected by alcohol-induced DNA methylomic deregulation in human embryonic stem cells. Stem Cell Research. 12(3). 791–806. 57 indexed citations
17.
Poor, Stephen, Yubin Qiu, Siyuan Shen, et al.. (2014). Reliability of the Mouse Model of Choroidal Neovascularization Induced by Laser Photocoagulation. Investigative Ophthalmology & Visual Science. 55(10). 6525–6525. 62 indexed citations
18.
Lau, Chang S., Yong Kim, David Chia, et al.. (2013). Role of Pancreatic Cancer-derived Exosomes in Salivary Biomarker Development. Journal of Biological Chemistry. 288(37). 26888–26897. 205 indexed citations
19.
Kim, Yong, et al.. (2009). Targeted Inactivation of p12Cdk2ap1, CDK2 Associating Protein 1, Leads to Early Embryonic Lethality. PLoS ONE. 4(2). e4518–e4518. 17 indexed citations
20.
Kim, Yong, et al.. (1990). Spin-density-wave dynamics in (TMTSF)_{2}PF_{6}. Physical Review Letters. 65(14). 1816–1819. 27 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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