Lin Huan

1.3k total citations
22 papers, 919 citations indexed

About

Lin Huan is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Lin Huan has authored 22 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 14 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Lin Huan's work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (7 papers) and Circular RNAs in diseases (6 papers). Lin Huan is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (7 papers) and Circular RNAs in diseases (6 papers). Lin Huan collaborates with scholars based in China and United States. Lin Huan's co-authors include Xianghuo He, Linhui Liang, Shenglin Huang, Yangjun Wu, Linguo Xu, Ming Yao, Chunyang Bao, Ye Xu, Tianan Guo and Jinjun Li and has published in prestigious journals such as Hepatology, Cancer Research and Oncogene.

In The Last Decade

Lin Huan

22 papers receiving 914 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Huan China 14 717 664 87 85 65 22 919
Guoxing Feng China 15 570 0.8× 323 0.5× 75 0.9× 48 0.6× 45 0.7× 24 711
Zhijun Huang China 17 608 0.8× 326 0.5× 65 0.7× 50 0.6× 55 0.8× 55 766
Xinxing Wang China 15 673 0.9× 535 0.8× 79 0.9× 49 0.6× 64 1.0× 30 823
Yunxia Zhou China 9 605 0.8× 497 0.7× 134 1.5× 34 0.4× 44 0.7× 15 841
Qi-Tao Chen China 7 404 0.6× 226 0.3× 63 0.7× 74 0.9× 50 0.8× 9 582
Xuejiao Chen China 15 472 0.7× 186 0.3× 105 1.2× 53 0.6× 33 0.5× 22 662
Fang Cui China 9 304 0.4× 219 0.3× 69 0.8× 61 0.7× 34 0.5× 18 455
Conghuan Shen China 10 311 0.4× 248 0.4× 52 0.6× 108 1.3× 21 0.3× 15 445
Hongqi Teng United States 10 423 0.6× 171 0.3× 87 1.0× 67 0.8× 123 1.9× 15 598

Countries citing papers authored by Lin Huan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Huan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Huan

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Huan. A scholar is included among the top collaborators of Lin Huan 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 Lin Huan. Lin Huan 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.
Huan, Lin, et al.. (2023). Adenosine receptor A2b confers ovarian cancer survival and PARP inhibitor resistance through IL‐6‐STAT3 signalling. Journal of Cellular and Molecular Medicine. 27(15). 2150–2164. 11 indexed citations
2.
Li, Shengli, Yiming Zhao, Yizhe Liu, et al.. (2022). Hepatic ARID3A facilitates liver cancer malignancy by cooperating with CEP131 to regulate an embryonic stem cell-like gene signature. Cell Death and Disease. 13(8). 732–732. 12 indexed citations
3.
Huan, Lin, et al.. (2022). Short Selling and Information Quality: Evidence from Natural Experiments in an Emerging Market. Emerging Markets Finance and Trade. 58(10). 2803–2819. 4 indexed citations
4.
Liang, Linhui, Lin Huan, Jiajia Wang, et al.. (2021). LncRNA RP11-295G20.2 regulates hepatocellular carcinoma cell growth and autophagy by targeting PTEN to lysosomal degradation. Cell Discovery. 7(1). 118–118. 22 indexed citations
5.
Lu, Minghui, et al.. (2021). Perceived social support and life satisfaction of Chinese parents of children with autism spectrum disorder: Loneliness as a mediator and moderator. Research in autism spectrum disorders. 87. 101829–101829. 17 indexed citations
6.
Xu, Linguo, Lin Huan, Tianan Guo, et al.. (2020). LncRNA SNHG11 facilitates tumor metastasis by interacting with and stabilizing HIF-1α. Oncogene. 39(46). 7005–7018. 69 indexed citations
8.
Chen, Xishan, Renba Liang, Lin Huan, et al.. (2020). CD166 promotes cancer stem cell-like phenotype via the EGFR/ERK1/2 pathway in the nasopharyngeal carcinoma cell line CNE-2R. Life Sciences. 267. 118983–118983. 13 indexed citations
9.
Huan, Lin, Tianan Guo, Yangjun Wu, et al.. (2020). Hypoxia induced LUCAT1/PTBP1 axis modulates cancer cell viability and chemotherapy response. Molecular Cancer. 19(1). 11–11. 123 indexed citations
10.
Zhou, Yuqiang, Lin Huan, Yangjun Wu, et al.. (2019). LncRNA ID2-AS1 suppresses tumor metastasis by activating the HDAC8/ID2 pathway in hepatocellular carcinoma. Cancer Letters. 469. 399–409. 60 indexed citations
11.
Wu, Yangjun, Yuqiang Zhou, Lin Huan, et al.. (2019). LncRNA MIR22HG inhibits growth, migration and invasion through regulating the miR‐10a‐5p/NCOR2 axis in hepatocellular carcinoma cells. Cancer Science. 110(3). 973–984. 66 indexed citations
12.
Wu, Yangjun, Yiming Zhao, Lin Huan, et al.. (2019). An LTR Retrotransposon-Derived Long Noncoding RNA lncMER52A Promotes Hepatocellular Carcinoma Progression by Binding p120-Catenin. Cancer Research. 80(5). 976–987. 46 indexed citations
13.
Sun, Yongchu, Lin Huan, Song Qu, et al.. (2019). <p>Downregulation of CD166 inhibits invasion, migration, and EMT in the radio-resistant human nasopharyngeal carcinoma cell line CNE-2R</p>. Cancer Management and Research. Volume 11. 3593–3602. 7 indexed citations
14.
Wang, Hui, Linhui Liang, Qiongzhu Dong, et al.. (2018). Long noncoding RNA miR503HG, a prognostic indicator, inhibits tumor metastasis by regulating the HNRNPA2B1/NF-κB pathway in hepatocellular carcinoma. Theranostics. 8(10). 2814–2829. 152 indexed citations
15.
Huan, Lin, et al.. (2016). Role of microRNAs in inflammation-associated liver cancer. Cancer Biology and Medicine. 13(4). 407–407. 21 indexed citations
16.
Lian, Junwei, Ying Jing, Qiongzhu Dong, et al.. (2015). miR-192, a prognostic indicator, targets the SLC39A6/SNAIL pathway to reduce tumor metastasis in human hepatocellular carcinoma. Oncotarget. 7(3). 2672–2683. 72 indexed citations
17.
Huan, Lin, Chunyang Bao, Di Chen, et al.. (2015). MicroRNA‐127‐5p targets the biliverdin reductase B/nuclear factor‐κB pathway to suppress cell growth in hepatocellular carcinoma cells. Cancer Science. 107(3). 258–266. 51 indexed citations
18.
Zhang, Yu, Jian Yao, Lin Huan, et al.. (2014). GNAI3 inhibits tumor cell migration and invasion and is post-transcriptionally regulated by miR-222 in hepatocellular carcinoma. Cancer Letters. 356(2). 978–984. 30 indexed citations
19.
Cheng, Jing, Lili Pan, Wei Li, et al.. (2013). Growth inhibitory effect of KYKZL-1 on Hep G2 cells via inhibition of AA metabolites and caspase-3 pathway and cell cycle arrest. Toxicology and Applied Pharmacology. 274(1). 96–106. 5 indexed citations
20.
Xu, Guanglin, Jing Cheng, Lin Huan, et al.. (2013). Inhibition of inflammatory mediators contributes to the anti-inflammatory activity of KYKZL-1 via MAPK and NF-κB pathway. Toxicology and Applied Pharmacology. 272(1). 221–229. 8 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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