Kate Huang

1.1k total citations
42 papers, 900 citations indexed

About

Kate Huang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kate Huang has authored 42 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Kate Huang's work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and MicroRNA in disease regulation (6 papers). Kate Huang is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and MicroRNA in disease regulation (6 papers). Kate Huang collaborates with scholars based in China, United States and United Kingdom. Kate Huang's co-authors include Fujun Yu, Linhua Lan, Yongzhang Liu, Peihong Dong, Bin Lü, Jianjian Zheng, Guilong Guo, Guanli Huang, Xiaohua Zhang and Xiaoqu Hu and has published in prestigious journals such as Frontiers in Immunology, BioMed Research International and Journal of Cellular Biochemistry.

In The Last Decade

Kate Huang

42 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate Huang China 19 550 365 142 121 109 42 900
Mitsuhiko Abe Japan 16 425 0.8× 324 0.9× 189 1.3× 112 0.9× 170 1.6× 30 905
Chunjiang Fu China 15 555 1.0× 277 0.8× 171 1.2× 67 0.6× 86 0.8× 38 964
Yongchun Yu China 21 732 1.3× 246 0.7× 177 1.2× 101 0.8× 93 0.9× 37 1.3k
Jianyong Sun China 19 1.1k 2.0× 733 2.0× 118 0.8× 90 0.7× 92 0.8× 45 1.4k
Houjie Liang China 19 459 0.8× 215 0.6× 238 1.7× 69 0.6× 108 1.0× 36 862
Xiaoxiao Zheng China 21 805 1.5× 510 1.4× 194 1.4× 96 0.8× 214 2.0× 49 1.2k
Jianjun Li China 18 684 1.2× 671 1.8× 224 1.6× 113 0.9× 80 0.7× 30 1.1k
Hanqing Yu China 16 778 1.4× 503 1.4× 145 1.0× 93 0.8× 138 1.3× 29 1.1k
Jia Shi China 20 849 1.5× 450 1.2× 88 0.6× 70 0.6× 99 0.9× 42 1.2k

Countries citing papers authored by Kate Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kate Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Huang. A scholar is included among the top collaborators of Kate 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 Kate Huang. Kate 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.
Huang, Wen-Hung, Kate Huang, Yu‐Chi Chen, et al.. (2024). A 0.296pJ/bit 17.9Tb/s/mm2 Die-to-Die Link in 5nm/6nm FinFET on a 9μm-Pitch 3D Package Achieving 10.24Tb/s Bandwidth at 16Gb/s PAM-4. 1–2. 1 indexed citations
2.
Huang, Kate, Qun Li, Jianglong Lu, et al.. (2022). Construction and validation of a glioblastoma prognostic model based on immune-related genes. Frontiers in Neurology. 13. 902402–902402. 6 indexed citations
3.
Huang, Xiaolu, Kate Huang, Jingjing Pan, et al.. (2022). CircRAPGEF5 Promotes the Proliferation and Metastasis of Lung Adenocarcinoma through the miR-1236-3p/ZEB1 Axis and Serves as a Potential Biomarker. International Journal of Biological Sciences. 18(5). 2116–2131. 22 indexed citations
4.
Shi, Wenjing, Lijuan Hu, Junjun Wang, et al.. (2021). Low‐level EFCAB1 promoted progress by upregulated DNMT3B and could be as a potential biomarker in lung adenocarcinoma. Journal of Clinical Laboratory Analysis. 36(1). e24166–e24166. 2 indexed citations
5.
Zhou, Qing, et al.. (2019). <p>Oncogenic role of ABHD5 in endometrial cancer</p>. Cancer Management and Research. Volume 11. 2139–2150. 9 indexed citations
6.
Li, Yeping, Kate Huang, Rongrong Wang, et al.. (2018). Reduction of Tat-interacting Protein 30 Expression Could be a Prognostic Marker in Bladder Urothelial Cancer. Chinese Medical Journal. 131(2). 188–193. 1 indexed citations
7.
Huang, Xiaoying, Peiliang Wu, Feifei Huang, et al.. (2017). Baicalin attenuates chronic hypoxia-induced pulmonary hypertension via adenosine A2A receptor-induced SDF-1/CXCR4/PI3K/AKT signaling. Journal of Biomedical Science. 24(1). 52–52. 62 indexed citations
8.
Yu, Fujun, Kate Huang, Xiaodong Pan, et al.. (2016). The Epigenetically-Regulated microRNA-378a Targets TGF-β2 in TGF-β1-Treated Hepatic Stellate Cells. Cellular Physiology and Biochemistry. 40(1-2). 183–194. 25 indexed citations
9.
Li, Zhihui, Kate Huang, Yong Chen, et al.. (2016). Repeated Electroacupuncture Persistently Elevates Adenosine and Ameliorates Collagen‐Induced Arthritis in Rats. Evidence-based Complementary and Alternative Medicine. 2016(1). 3632168–3632168. 10 indexed citations
10.
Chen, Junjie, Shenmeng Gao, Chunjing Wang, et al.. (2016). Pathologically decreased expression of miR-193a contributes to metastasis by targeting WT1-E-cadherin axis in non-small cell lung cancers. Journal of Experimental & Clinical Cancer Research. 35(1). 173–173. 27 indexed citations
11.
Wang, Liren, Jiangtao Wang, Liangliang Pan, et al.. (2015). Recent advances in re-engineered liver: de-cellularization and re-cellularization techniques. Cytotherapy. 17(8). 1015–1024. 6 indexed citations
12.
Wang, Yumin, Gang Xu, Wei Chen, et al.. (2014). Detection of long-chain non-encoding RNA differential expression in non-small cell lung cancer by microarray analysis and preliminary verification. Molecular Medicine Reports. 11(3). 1925–1932. 17 indexed citations
13.
He, Bin, Kate Huang, Peng Li, et al.. (2014). Undifferentiated embryonal liver sarcoma in childhood: A case report. Oncology Letters. 8(3). 1127–1132. 2 indexed citations
14.
Xie, Deyao, Linhua Lan, Kate Huang, et al.. (2014). Association of p53/p21 expression and cigarette smoking with tumor progression and poor prognosis in non-small cell lung cancer patients. Oncology Reports. 32(6). 2517–2526. 29 indexed citations
15.
Huang, Kate, Lin Chen, Jiliang Zhang, et al.. (2014). Elevated p53 expression levels correlate with tumor progression and poor prognosis in patients exhibiting esophageal squamous cell carcinoma. Oncology Letters. 8(4). 1441–1446. 31 indexed citations
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18.
Chen, Zhenkun, Kate Huang, Peng Li, et al.. (2013). Decreased Expression of LKB1 Correlates with Poor Prognosis in Hepatocellular Carcinoma Patients Undergoing Hepatectomy. Asian Pacific Journal of Cancer Prevention. 14(3). 1985–1988. 24 indexed citations
19.
Guo, Gui-Long, et al.. (2007). Isolation of side population cells and detection of ABCG2 from SW480. Chinese Journal of Cancer Research. 19(4). 238–243. 1 indexed citations
20.
Lu, Shanshan, et al.. (2007). [Relationship between the biological behavior of nasal cavity or sinonasal inverted papilloma and infection of human papillomavirus].. PubMed. 87(19). 1342–4. 6 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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