Kang Kang

1.6k total citations
36 papers, 1.3k citations indexed

About

Kang Kang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kang Kang has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 26 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kang Kang's work include MicroRNA in disease regulation (23 papers), Cancer-related molecular mechanisms research (15 papers) and Pulmonary Hypertension Research and Treatments (11 papers). Kang Kang is often cited by papers focused on MicroRNA in disease regulation (23 papers), Cancer-related molecular mechanisms research (15 papers) and Pulmonary Hypertension Research and Treatments (11 papers). Kang Kang collaborates with scholars based in China, United States and Australia. Kang Kang's co-authors include Deming Gou, Jun Luo, Xiao Peng, J. Usha Raj, Ramaswamy Ramchandran, Junle Qu, Jiasheng Zhong, Huiling Qiu, Yike Wu and Lin Liu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Kang Kang

36 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang Kang China 20 864 753 345 96 89 36 1.3k
Xiao Cheng China 20 539 0.6× 357 0.5× 162 0.5× 26 0.3× 220 2.5× 47 1.2k
Jiantao Cui China 19 601 0.7× 342 0.5× 88 0.3× 73 0.8× 34 0.4× 35 995
Xiaobo Guo China 22 880 1.0× 613 0.8× 134 0.4× 26 0.3× 30 0.3× 70 1.3k
Xueyan Duan China 18 796 0.9× 119 0.2× 173 0.5× 80 0.8× 79 0.9× 41 1.3k
Yajing Hao China 18 1.4k 1.7× 1.1k 1.5× 47 0.1× 29 0.3× 91 1.0× 45 1.8k
Qiang Fu China 19 583 0.7× 294 0.4× 47 0.1× 43 0.4× 75 0.8× 90 1.1k
Patricia M. Scott United States 16 628 0.7× 177 0.2× 217 0.6× 25 0.3× 71 0.8× 24 1.3k
Bo Wei China 17 476 0.6× 271 0.4× 143 0.4× 23 0.2× 269 3.0× 57 916
Anoop Singh Chauhan India 14 667 0.8× 187 0.2× 79 0.2× 59 0.6× 20 0.2× 19 1.0k

Countries citing papers authored by Kang Kang

Since Specialization
Citations

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

Fields of papers citing papers by Kang Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Kang. A scholar is included among the top collaborators of Kang Kang 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 Kang Kang. Kang Kang 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.
2.
Kang, Kang, Jingjing Xiang, Yuting Xie, et al.. (2024). N6-methyladenosine modification of KLF2 may contribute to endothelial-to-mesenchymal transition in pulmonary hypertension. Cellular & Molecular Biology Letters. 29(1). 69–69. 10 indexed citations
3.
Kang, Kang, Lian Huang, Qing Li, et al.. (2019). An improved Tet-on system in microRNA overexpression and CRISPR/Cas9-mediated gene editing. Journal of Animal Science and Biotechnology. 10(1). 43–43. 12 indexed citations
4.
Su, Ming‐Yang, et al.. (2019). Direct S-Poly(T) Plus assay in quantification of microRNAs without RNA extraction and its implications in colorectal cancer biomarker studies. Journal of Translational Medicine. 17(1). 316–316. 6 indexed citations
5.
Su, Ming‐Yang, Yike Wu, Liwu Fu, et al.. (2018). Circulating Plasma miRNAs as Potential Biomarkers of Non–Small Cell Lung Cancer Obtained by High-Throughput Real-Time PCR Profiling. Cancer Epidemiology Biomarkers & Prevention. 28(2). 327–336. 21 indexed citations
6.
Li, Jian, Xueming Zhang, Ancai Yuan, et al.. (2018). MiR-125a-5p ameliorates monocrotaline-induced pulmonary arterial hypertension by targeting the TGF-β1 and IL-6/STAT3 signaling pathways. Experimental & Molecular Medicine. 50(4). 1–11. 77 indexed citations
7.
Qiu, Huiling, Jiasheng Zhong, Lan Luo, et al.. (2017). Regulatory Axis of miR-195/497 and HMGA1-Id3 Governs Muscle Cell Proliferation and Differentiation. International Journal of Biological Sciences. 13(2). 157–166. 21 indexed citations
8.
Zeng, Yan, Xiaoying Zhang, Kang Kang, et al.. (2016). MicroRNA-223 Attenuates Hypoxia-induced Vascular Remodeling by Targeting RhoB/MLC2 in Pulmonary Arterial Smooth Muscle Cells. Scientific Reports. 6(1). 24900–24900. 66 indexed citations
9.
Chen, Jidong, Zhengjiang Qian, Yanjiao Li, et al.. (2016). Multi-omics analysis reveals regulators of the response to PDGF-BB treatment in pulmonary artery smooth muscle cells. BMC Genomics. 17(1). 25 indexed citations
10.
Zhang, Hongliang, Shenghua Liu, Tianwei Dong, et al.. (2016). Profiling of differentially expressed microRNAs in arrhythmogenic right ventricular cardiomyopathy. Scientific Reports. 6(1). 28101–28101. 46 indexed citations
11.
Qiu, Huiling, Jiasheng Zhong, Lan Luo, et al.. (2015). A PCR-Based Method to Construct Lentiviral Vector Expressing Double Tough Decoy for miRNA Inhibition. PLoS ONE. 10(12). e0143864–e0143864. 5 indexed citations
12.
Chen, Zhi, Jun Luo, Hui Wang, et al.. (2015). MiR130b-Regulation of PPARγ Coactivator- 1α Suppresses Fat Metabolism in Goat Mammary Epithelial Cells. PLoS ONE. 10(11). e0142809–e0142809. 35 indexed citations
13.
Qiu, Huiling, Yike Wu, Zhiwei Wang, et al.. (2015). An improved method for detecting circulating microRNAs with S-Poly(T) Plus real-time PCR. Scientific Reports. 5(1). 15100–15100. 86 indexed citations
14.
Qian, Zhengjiang, Zhiqin Wu, Lian Huang, et al.. (2015). Mulberry fruit prevents LPS-induced NF-κB/pERK/MAPK signals in macrophages and suppresses acute colitis and colorectal tumorigenesis in mice. Scientific Reports. 5(1). 17348–17348. 74 indexed citations
15.
Bao, Yonghua, Yongchen Guo, Zexin Li, et al.. (2014). MicroRNA Profiling in Muc2 Knockout Mice of Colitis-Associated Cancer Model Reveals Epigenetic Alterations during Chronic Colitis Malignant Transformation. PLoS ONE. 9(6). e99132–e99132. 28 indexed citations
16.
17.
Kang, Kang, Xiao Peng, Xiaoying Zhang, et al.. (2013). MicroRNA-124 Suppresses the Transactivation of Nuclear Factor of Activated T Cells by Targeting Multiple Genes and Inhibits the Proliferation of Pulmonary Artery Smooth Muscle Cells. Journal of Biological Chemistry. 288(35). 25414–25427. 110 indexed citations
18.
Kang, Kang, Jiasheng Zhong, Liang Jiang, et al.. (2013). Identification of microRNA-Like RNAs in the Filamentous Fungus Trichoderma reesei by Solexa Sequencing. PLoS ONE. 8(10). e76288–e76288. 74 indexed citations
19.
Kang, Kang, Xiaoying Zhang, Hongtao Liu, et al.. (2012). A Novel Real-Time PCR Assay of microRNAs Using S-Poly(T), a Specific Oligo(dT) Reverse Transcription Primer with Excellent Sensitivity and Specificity. PLoS ONE. 7(11). e48536–e48536. 90 indexed citations
20.
Kang, Kang, Xiao Peng, Jun Luo, & Deming Gou. (2012). Identification of circulating miRNA biomarkers based on global quantitative real-time PCR profiling. Journal of Animal Science and Biotechnology. 3(1). 4–4. 84 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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