Hechun Lin

1.5k total citations
21 papers, 1.1k citations indexed

About

Hechun Lin is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hechun Lin has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Hechun Lin's work include RNA modifications and cancer (9 papers), MicroRNA in disease regulation (7 papers) and Cancer-related molecular mechanisms research (5 papers). Hechun Lin is often cited by papers focused on RNA modifications and cancer (9 papers), MicroRNA in disease regulation (7 papers) and Cancer-related molecular mechanisms research (5 papers). Hechun Lin collaborates with scholars based in China, Hong Kong and United States. Hechun Lin's co-authors include Ming Yao, Mingxia Yan, Xianghuo He, Tao Yu, Fangyu Zhao, Lei Sun, Dandan Chu, Hongyu Pan, Tao Yu and Yun Cui and has published in prestigious journals such as Cancer Research, Oncogene and Scientific Reports.

In The Last Decade

Hechun Lin

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hechun Lin China 14 856 591 178 122 67 21 1.1k
Yoannis Imbert-Fernandez United States 15 667 0.8× 544 0.9× 200 1.1× 76 0.6× 72 1.1× 28 940
Shilei Tang China 13 596 0.7× 365 0.6× 102 0.6× 148 1.2× 108 1.6× 15 810
Georgia Chachami Greece 18 786 0.9× 607 1.0× 210 1.2× 50 0.4× 90 1.3× 27 1.2k
Yongsheng Zhang China 19 604 0.7× 366 0.6× 157 0.9× 89 0.7× 72 1.1× 46 879
Lingtao Jin United States 15 831 1.0× 550 0.9× 222 1.2× 163 1.3× 105 1.6× 25 1.2k
Xiuying Zhong China 13 814 1.0× 564 1.0× 96 0.5× 77 0.6× 57 0.9× 16 1.1k
Gina N. Alesi United States 7 612 0.7× 474 0.8× 148 0.8× 124 1.0× 71 1.1× 9 898
Shuangyin Han China 18 733 0.9× 300 0.5× 159 0.9× 60 0.5× 42 0.6× 29 976
Shanhua Tang China 7 907 1.1× 747 1.3× 196 1.1× 90 0.7× 141 2.1× 11 1.2k

Countries citing papers authored by Hechun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hechun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hechun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hechun Lin. A scholar is included among the top collaborators of Hechun Lin 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 Hechun Lin. Hechun Lin 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, Tengfei, Chao Ge, Fangyu Zhao, et al.. (2022). Sperm associated antigen 4 promotes SREBP1-mediated de novo lipogenesis via interaction with lamin A/C and contributes to tumor progression in hepatocellular carcinoma. Cancer Letters. 536. 215642–215642. 17 indexed citations
2.
Zhang, Xiao, Xiaofei Zhang, Tiebo Mao, et al.. (2021). CSE1L, as a novel prognostic marker, promotes pancreatic cancer proliferation by regulating the AKT/mTOR signaling pathway. Journal of Cancer. 12(10). 2797–2806. 10 indexed citations
3.
4.
Zhao, Fangyu, Jing Li, Kechao Zhu, et al.. (2019). TBX2 Identified as a Potential Predictor of Bone Metastasis in Lung Adenocarcinoma via Integrated Bioinformatics Analyses and Verification of Functional Assay. Journal of Cancer. 11(2). 388–402. 7 indexed citations
5.
Yan, Mingxia, Lei Sun, Jing Li, et al.. (2019). RNA-binding protein KHSRP promotes tumor growth and metastasis in non-small cell lung cancer. Journal of Experimental & Clinical Cancer Research. 38(1). 478–478. 78 indexed citations
6.
Li, Jing, Tao Yu, Mingxia Yan, et al.. (2018). DCUN1D1 facilitates tumor metastasis by activating FAK signaling and up-regulates PD-L1 in non-small-cell lung cancer. Experimental Cell Research. 374(2). 304–314. 31 indexed citations
7.
Lin, Hechun, Xiao Zhang, Li Liao, et al.. (2018). CPNE3 promotes migration and invasion in non-small cell lung cancer by interacting with RACK1 via FAK signaling activation. Journal of Cancer. 9(22). 4215–4222. 13 indexed citations
8.
Chu, Dandan, Jing Li, Hechun Lin, et al.. (2018). Quantitative proteomic analysis of the miR‑148a‑associated mechanisms of metastasis in non‑small cell lung cancer. Oncology Letters. 15(6). 9941–9952. 9 indexed citations
9.
Yu, Tao, Yingjun Zhao, Zhixiang Hu, et al.. (2017). MetaLnc9 Facilitates Lung Cancer Metastasis via a PGK1-Activated AKT/mTOR Pathway. Cancer Research. 77(21). 5782–5794. 142 indexed citations
10.
Cheng, Dongdong, et al.. (2017). CSE1L interaction with MSH6 promotes osteosarcoma progression and predicts poor patient survival. Scientific Reports. 7(1). 46238–46238. 22 indexed citations
11.
Liu, Ying, Lei Liu, Tao Yu, et al.. (2016). Systematic analysis of mRNA expression profiles in NSCLC cell lines to screen metastasis-related genes. Molecular Medicine Reports. 14(6). 5093–5103. 4 indexed citations
12.
Qin, Geng, Tao Yu, Fanglin Zhang, et al.. (2015). Establishment of a highly metastatic model with a newly isolated lung adenocarcinoma cell line. International Journal of Oncology. 47(3). 927–940. 5 indexed citations
13.
Li, Guohua, Yu Gan, Yingchao Fan, et al.. (2015). Enriched Environment Inhibits Mouse Pancreatic Cancer Growth and Down-regulates the Expression of Mitochondria-related Genes in Cancer Cells. Scientific Reports. 5(1). 7856–7856. 52 indexed citations
14.
Deng, Wei, Mingxia Yan, Tao Yu, et al.. (2015). Quantitative Proteomic Analysis of the Metastasis-Inhibitory Mechanism of miR-193a-3p in Non-Small Cell Lung Cancer. Cellular Physiology and Biochemistry. 35(5). 1677–1688. 44 indexed citations
15.
Yu, Tao, Lei Liu, Jing Li, et al.. (2015). MiRNA-10a is upregulated in NSCLC and may promote cancer by targeting PTEN. Oncotarget. 6(30). 30239–30250. 114 indexed citations
16.
17.
Li, Jing, Qiang Tan, Mingxia Yan, et al.. (2014). miRNA-200c inhibits invasion and metastasis of human non-small cell lung cancer by directly targeting ubiquitin specific peptidase 25. Molecular Cancer. 13(1). 166–166. 111 indexed citations
18.
Zhang, Fanglin, Hechun Lin, Aiqin Gu, et al.. (2014). SWATH™- and iTRAQ-based quantitative proteomic analyses reveal an overexpression and biological relevance of CD109 in advanced NSCLC. Journal of Proteomics. 102. 125–136. 36 indexed citations
19.
Song, Jin H., Zhouhong Ge, Xin‐Rong Yang, et al.. (2014). Hepatic stellate cells activated by acidic tumor microenvironment promote the metastasis of hepatocellular carcinoma via osteopontin. Cancer Letters. 356(2). 713–720. 65 indexed citations
20.
Fan, Shao‐Hua, Yongdong Niu, Nguan Soon Tan, et al.. (2012). LASS2 enhances chemosensitivity of breast cancer by counteracting acidic tumor microenvironment through inhibiting activity of V-ATPase proton pump. Oncogene. 32(13). 1682–1690. 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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