Kailing Huang

440 total citations
25 papers, 323 citations indexed

About

Kailing Huang is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Kailing Huang has authored 25 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Epidemiology and 6 papers in Cancer Research. Recurrent topics in Kailing Huang's work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (5 papers) and Hepatitis B Virus Studies (3 papers). Kailing Huang is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (5 papers) and Hepatitis B Virus Studies (3 papers). Kailing Huang collaborates with scholars based in China, Taiwan and United States. Kailing Huang's co-authors include Careen K. Tang, Yiu‐Kay Lai, Xiaoshun Shi, Allen Chen, Cong Li, Yang Liu, Chih‐Chien Lin, Liang Cao, Yujie Jia and Yanhui Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical Journal and Cancer Letters.

In The Last Decade

Kailing Huang

25 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kailing Huang China 13 175 108 54 31 27 25 323
Pablo Pinto Brazil 9 179 1.0× 88 0.8× 34 0.6× 25 0.8× 18 0.7× 15 304
Xin Pan China 12 215 1.2× 64 0.6× 46 0.9× 31 1.0× 53 2.0× 32 463
Lidong Liu China 9 172 1.0× 52 0.5× 58 1.1× 38 1.2× 19 0.7× 12 319
Qingping Cai China 7 188 1.1× 75 0.7× 51 0.9× 50 1.6× 26 1.0× 8 327
Yuting Wu China 14 178 1.0× 60 0.6× 40 0.7× 64 2.1× 52 1.9× 33 399
Chengping Li China 14 347 2.0× 79 0.7× 68 1.3× 28 0.9× 12 0.4× 40 473
Kaiyin Yang China 11 302 1.7× 141 1.3× 24 0.4× 38 1.2× 20 0.7× 13 503
Xiaoqin Zheng China 13 156 0.9× 57 0.5× 34 0.6× 74 2.4× 47 1.7× 27 397
Ting Xiong China 11 171 1.0× 75 0.7× 62 1.1× 38 1.2× 34 1.3× 28 359

Countries citing papers authored by Kailing Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kailing Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kailing Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Kailing Huang. A scholar is included among the top collaborators of Kailing Huang 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 Kailing Huang. Kailing Huang 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.
Liu, Shujing, Wenqi Yang, Guohua Zheng, et al.. (2024). Exercise ameliorates lipid droplet metabolism disorder by the PLIN2–LIPA axis-mediated lipophagy in mouse model of non-alcoholic fatty liver disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(3). 167045–167045. 15 indexed citations
2.
Huang, Kailing, Allen Chen, Nan Li, et al.. (2023). Effects of HAR1 on cognitive function in mice and the regulatory network of HAR1 determined by RNA sequencing and applied bioinformatics analysis. Frontiers in Genetics. 14. 947144–947144. 2 indexed citations
3.
Hwang, Chi‐Ching, et al.. (2021). Functional role of residues involved in substrate binding of human 4-hydroxyphenylpyruvate dioxygenase. Biochemical Journal. 478(12). 2201–2215. 5 indexed citations
4.
Shi, Xiaoshun, Allen Chen, Chaoming Li, et al.. (2021). Novel PHOX2B germline mutation in childhood medulloblastoma: a case report. Hereditary Cancer in Clinical Practice. 19(1). 12–12. 1 indexed citations
5.
Liu, Dongdong, Beibei Li, Xiaoshun Shi, et al.. (2021). Cross-platform genomic identification and clinical validation of breast cancer diagnostic biomarkers. Aging. 13(3). 4258–4273. 19 indexed citations
6.
Huang, Kailing, Kuan‐Yu Lin, Tsai‐Wei Huang, et al.. (2019). Prophylactic management for taxane‐induced nail toxicity: A systematic review and meta‐analysis. European Journal of Cancer Care. 28(5). e13118–e13118. 12 indexed citations
7.
Shi, Xiaoshun, Xiaoying Dong, Allen Chen, et al.. (2019). The impact of angiogenesis inhibitors on survival of patients with small cell lung cancer. Cancer Medicine. 8(13). 5930–5938. 12 indexed citations
8.
Shi, Xiaoshun, Xiaobing Le, Xiaoxiang Li, et al.. (2018). An expression signature model to predict lung adenocarcinoma-specific survival. Cancer Management and Research. Volume 10. 3717–3732. 32 indexed citations
9.
Chen, Min, Jiayan Wang, Yingjun Luo, et al.. (2018). Identify Down syndrome transcriptome associations using integrative analysis of microarray database and correlation-interaction network. Human Genomics. 12(1). 2–2. 16 indexed citations
10.
Shi, Xiaoshun, Fuxi Huang, Xiaobing Le, et al.. (2017). A practical prognostic lncRNA signature for lung squamous cell carcinoma. SHILAP Revista de lepidopterología. 2(1). 3 indexed citations
11.
Shi, Xiaoshun, Allen Chen, Xiaobing Le, et al.. (2017). LncRNA TUSC7 affects malignant tumor prognosis by regulating protein ubiquitination: a genome-wide analysis from 10,237 pan-cancer patients. Translational Cancer Research. 6(4). 834–842. 2 indexed citations
12.
Foster, D. L., et al.. (2014). An In-Situ Motion Measurement System for Underwater Sediments Tracking. 4. 360–367. 3 indexed citations
13.
Liu, Yang, et al.. (2014). Genome-Wide Analysis of Long Noncoding RNA Profile in Human Gastric Epithelial Cell Response to Helicobacter pylori. Japanese Journal of Infectious Diseases. 68(1). 63–66. 36 indexed citations
14.
Chen, Yilin, et al.. (2014). MobiRing: A Finger-Worn Wireless Motion Tracker. 3 indexed citations
15.
Huang, Kailing, et al.. (2010). 3,3′-Diindolylmethane (DIM) inhibits the growth and invasion of drug-resistant human cancer cells expressing EGFR mutants. Cancer Letters. 295(1). 59–68. 36 indexed citations
16.
Lin, Chih‐Chien, et al.. (2007). Sf‐Caspase‐1‐repressed stable cells: resistance to apoptosis and augmentation of recombinant protein production. Biotechnology and Applied Biochemistry. 48(1). 11–19. 15 indexed citations
17.
Chang, Jia‐Ming, et al.. (2007). The Anti‐Hepatitis B Virus Activity of Boehmeria nivea Extract in HBV‐Viremia SCID Mice. Evidence-based Complementary and Alternative Medicine. 7(2). 189–195. 12 indexed citations
18.
Lin, Chih‐Chien, et al.. (2006). Stable RNA Interference in Spodoptera frugiperda Cells by a DNA Vector-based Method. Biotechnology Letters. 28(4). 271–277. 13 indexed citations
19.
Chang, Hao‐Teng, Yu‐Lin Kao, Yiu‐Kay Lai, et al.. (2006). Signal peptide of eosinophil cationic protein upregulates transforming growth factor‐alpha expression in human cells. Journal of Cellular Biochemistry. 100(5). 1266–1275. 15 indexed citations
20.
Huang, Kailing. (2006). Inhibition of hepatitis B virus production byBoehmeria nivearoot extract in HepG2 2.2.15 cells. World Journal of Gastroenterology. 12(35). 5721–5721. 40 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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