Dan Lin

1.7k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Dan Lin is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Dan Lin has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cancer Research and 2 papers in Cell Biology. Recurrent topics in Dan Lin's work include MicroRNA in disease regulation (5 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (3 papers). Dan Lin is often cited by papers focused on MicroRNA in disease regulation (5 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (3 papers). Dan Lin collaborates with scholars based in China, Canada and Italy. Dan Lin's co-authors include Guoguang Ying, Haiyang Zhang, Shaohua Ge, Tao Ning, Yuchong Yang, Ting Deng, Rui Liu, Ming Bai, Dongying Liu and Yi Ba and has published in prestigious journals such as Cancer Cell, Oncogene and Molecular Cancer.

In The Last Decade

Dan Lin

14 papers receiving 1.3k citations

Hit Papers

CAF secreted miR-522 suppresses ferroptosis and promotes ... 2020 2026 2022 2024 2020 250 500 750

Peers

Dan Lin
Haibo Han China
Kari Fischer United States
Ashujit Tagde United States
Zhefang Wang Germany
Dan Lin
Citations per year, relative to Dan Lin Dan Lin (= 1×) peers Shuangbing Xu

Countries citing papers authored by Dan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Lin. A scholar is included among the top collaborators of Dan 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 Dan Lin. Dan Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Lin, Dan, Haiyang Zhang, Rui Liu, et al.. (2021). iRGD‐modified exosomes effectively deliver CPT1A siRNA to colon cancer cells, reversing oxaliplatin resistance by regulating fatty acid oxidation. Molecular Oncology. 15(12). 3430–3446. 86 indexed citations
2.
Tian, Fei, Peiyun Wang, Dan Lin, et al.. (2021). Exosome‐delivered miR‐221/222 exacerbates tumor liver metastasis by targeting SPINT1 in colorectal cancer. Cancer Science. 112(9). 3744–3755. 50 indexed citations
3.
Lin, Dan, et al.. (2020). <p>Gambogic Acid Inhibits the Progression of Gastric Cancer via circRNA_ASAP2/miR-33a-5p/CDK7 Axis</p>. Cancer Management and Research. Volume 12. 9221–9233. 18 indexed citations
4.
Dong, Jingsi, Bingjie Li, Dan Lin, et al.. (2020). LincRNA00494 Suppresses Non-small Cell Lung Cancer Cell Proliferation by Regulating SRCIN1 Expression as a ceRNA. Frontiers in Oncology. 10. 79–79. 10 indexed citations
5.
Zhang, Haiyang, Ting Deng, Rui Liu, et al.. (2020). CAF secreted miR-522 suppresses ferroptosis and promotes acquired chemo-resistance in gastric cancer. Molecular Cancer. 19(1). 43–43. 776 indexed citations breakdown →
6.
Liu, Dongying, Haiyang Zhang, Shaohua Ge, et al.. (2019). Identification of HGF as a novel target of miR-15a/16/195 in gastric cancer. Investigational New Drugs. 38(4). 922–933. 5 indexed citations
7.
Liu, Chunhua, Qingping Jiang, Junyi Zhang, et al.. (2019). Hepatoma-Derived Growth Factor and DDX5 Promote Carcinogenesis and Progression of Endometrial Cancer by Activating β-Catenin. Frontiers in Oncology. 9. 211–211. 27 indexed citations
8.
Xiao, Yanyi, Li Lin, Yonghao Li, et al.. (2019). ZEB1 promotes invasion and metastasis of endometrial cancer by interacting with HDGF and inducing its transcription.. PubMed. 9(11). 2314–2330. 29 indexed citations
9.
Zhao, Xiujuan, Xing Wang, Qian Li, et al.. (2018). FBXL10 contributes to the development of diffuse large B-cell lymphoma by epigenetically enhancing ERK1/2 signaling pathway. Cell Death and Disease. 9(2). 46–46. 15 indexed citations
10.
Lin, Li, Qingping Jiang, Dan Lin, et al.. (2018). [Expression of phosphoglycerate kinase 1 in endometrial carcinoma and its association with patients' outcome].. PubMed. 38(4). 471–476. 1 indexed citations
11.
Guo, Suiqun, Yanyi Xiao, Danqing Li, et al.. (2017). PGK1 and GRP78 overexpression correlates with clinical significance and poor prognosis in Chinese endometrial cancer patients. Oncotarget. 9(1). 680–690. 17 indexed citations
12.
Mason, Jacqueline M., Dan Lin, Wei Xin, et al.. (2014). Functional Characterization of CFI-400945, a Polo-like Kinase 4 Inhibitor, as a Potential Anticancer Agent. Cancer Cell. 26(2). 163–176. 142 indexed citations
13.
Cappello, Paola, Heiko Blaser, Chiara Gorrini, et al.. (2013). Role of Nek2 on centrosome duplication and aneuploidy in breast cancer cells. Oncogene. 33(18). 2375–2384. 93 indexed citations
14.
Lin, Li, Hongchang Gao, Dan Lin, et al.. (2010). LC-ED with an Acetylene Black–Dihexadecyl Hydrogen Phosphate Composite Film-Modified Electrode for in Vivo Analysis of Thiols in Rat Striatal Microdialysate. Chromatographia. 72(5-6). 447–452. 3 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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