Ying Lin

10.9k total citations · 2 hit papers
229 papers, 7.8k citations indexed

About

Ying Lin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ying Lin has authored 229 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 70 papers in Oncology and 50 papers in Cancer Research. Recurrent topics in Ying Lin's work include Cancer-related molecular mechanisms research (19 papers), MicroRNA in disease regulation (17 papers) and Breast Cancer Treatment Studies (15 papers). Ying Lin is often cited by papers focused on Cancer-related molecular mechanisms research (19 papers), MicroRNA in disease regulation (17 papers) and Breast Cancer Treatment Studies (15 papers). Ying Lin collaborates with scholars based in China, United States and Hong Kong. Ying Lin's co-authors include Steven M. Dubinett, Sherven Sharma, Yunhui Cheng, Chunxiang Zhang, Jian Yang, Xiaojun Liu, Mariam Dohadwala, Jie Luo, Shuo Zhang and Ruo‐Pan Huang and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ying Lin

210 papers receiving 7.7k citations

Hit Papers

MicroRNA-145, a Novel Smooth Muscle Cell Phenotypic Marke... 2009 2026 2014 2020 2009 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Lin China 40 3.5k 2.3k 1.8k 1.5k 1.0k 229 7.8k
Hua Liu China 52 4.3k 1.2× 1.4k 0.6× 1.0k 0.6× 969 0.7× 409 0.4× 373 9.7k
Matthew R. Young United States 52 4.0k 1.1× 1.4k 0.6× 2.5k 1.4× 2.4k 1.6× 479 0.5× 228 9.2k
Amir Avan Iran 50 4.6k 1.3× 2.4k 1.0× 1.9k 1.0× 798 0.5× 392 0.4× 344 9.1k
Li Li China 48 4.7k 1.3× 1.4k 0.6× 2.1k 1.2× 1.2k 0.8× 564 0.6× 420 9.9k
Bagher Farhood Iran 53 3.5k 1.0× 1.4k 0.6× 2.7k 1.5× 1.7k 1.2× 527 0.5× 189 9.7k
Masoud Najafi Iran 65 5.4k 1.5× 2.4k 1.0× 3.5k 1.9× 2.2k 1.5× 713 0.7× 207 12.9k
Jun Wang China 40 2.2k 0.6× 1.1k 0.5× 1.2k 0.7× 554 0.4× 548 0.5× 269 6.3k
Ferdinando Nicoletti Italy 62 4.5k 1.3× 976 0.4× 1.7k 1.0× 3.5k 2.4× 527 0.5× 322 11.8k
Shu Zhang China 47 4.6k 1.3× 1.8k 0.8× 1.9k 1.0× 1.3k 0.9× 510 0.5× 351 9.6k
Rohit Srivastava United States 61 7.3k 2.1× 1.8k 0.8× 2.6k 1.4× 1.3k 0.9× 603 0.6× 206 12.0k

Countries citing papers authored by Ying Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ying Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Lin. A scholar is included among the top collaborators of Ying 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 Ying Lin. Ying 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.
Huang, Jingyao, Ying Lin, Ying Deng, et al.. (2024). Construction and validation of a TAMRGs prognostic signature for gliomas by integrated analysis of scRNA and bulk RNA sequencing data. Brain Research. 1846. 149237–149237.
2.
Chen, Jinhao, et al.. (2024). Endoplasmic reticulum stress-related gene expression causes the progression of dilated cardiomyopathy by inducing apoptosis. Frontiers in Genetics. 15. 1366087–1366087. 1 indexed citations
3.
Chen, Yihong, et al.. (2024). A Mobile Application for Anticoagulation Management in Patients After Heart Valve Replacement: A Usability Study. Patient Preference and Adherence. Volume 18. 2055–2066. 2 indexed citations
4.
Chen, Yi-Hong, et al.. (2024). Postoperative care of 14 patients with left ventricular assist devices: a case series. Journal of International Medical Research. 52(2). 1 indexed citations
5.
Zhang, Fangmei, Jiang Yin, Jianlei Zhang, et al.. (2024). LPCAT2 inhibits colorectal cancer progression via the PRMT1/SLC7A11 axis. Oncogene. 43(22). 1714–1725. 11 indexed citations
7.
Wang, Zilin, et al.. (2023). YTHDF1 shapes “cold” tumor and inhibits CD8+ T cells infiltration and function in breast cancer. Experimental Cell Research. 432(2). 113778–113778. 2 indexed citations
8.
Liang, Shu‐Yuan, et al.. (2023). Caregiving Self-Efficacy of the Caregivers of Family Members with Oral Cancer—A Descriptive Study. Healthcare. 11(5). 762–762.
9.
Pei, Xue, et al.. (2023). Overexpression of the First Peanut-Susceptible Gene, AhS5H1 or AhS5H2, Enhanced Susceptibility to Pst DC3000 in Arabidopsis. International Journal of Molecular Sciences. 24(18). 14210–14210. 4 indexed citations
10.
Li, Tianfu, et al.. (2022). KIF17 maintains the epithelial phenotype of breast cancer cells and curbs tumour metastasis. Cancer Letters. 548. 215904–215904. 2 indexed citations
11.
Ye, Runyi, Huijuan Zeng, Nan Shao, et al.. (2021). Tripartite motif-containing 3 (TRIM3) enhances ER signaling and confers tamoxifen resistance in breast cancer. Oncogenesis. 10(9). 60–60. 10 indexed citations
12.
Chen, Yih‐Sharng, Wanyi Lin, Aiguo Zhang, & Ying Lin. (2021). Application of CT perfusion imaging in NSCLC and its correlation with angiogenesis and lymph node metastasis. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Zeng, Huijuan, et al.. (2020). KCTD12 promotes G1/S transition of breast cancer cell through activating the AKT/FOXO1 signaling. Journal of Clinical Laboratory Analysis. 34(8). e23315–e23315. 15 indexed citations
14.
Li, Tianfu, et al.. (2020). lncRNA NR2F1‐AS1 promotes breast cancer angiogenesis through activating IGF‐1/IGF‐1R/ERK pathway. Journal of Cellular and Molecular Medicine. 24(14). 8236–8247. 80 indexed citations
15.
Cai, Shining, Minzhi Lv, Jos M. Latour, et al.. (2019). Incidence and risk factors of PostopeRativE delirium in intensive care unit patients: A study protocol for the PREDICt study. Journal of Advanced Nursing. 75(11). 3068–3077. 5 indexed citations
16.
Wang, Jiayu, Yujian Shi, Tao Sun, et al.. (2019). Germline mutation landscape of Chinese patients with familial breast/ovarian cancer in a panel of 22 susceptibility genes. Cancer Medicine. 8(5). 2074–2084. 17 indexed citations
17.
Lin, Ying, et al.. (2007). [A random, comparative study on endovenous laser therapy and saphenous veins stripping for the treatment of great saphenous vein incompetence].. PubMed. 87(43). 3043–6. 10 indexed citations
18.
Pǒld, Mehis, Li Zhu, Sherven Sharma, et al.. (2004). Cyclooxygenase-2 dependent expression of angiogenic CXC chemokines, ENA-78/CXCL5 and IL-8/CXCL8, in human non-small cell lung cancer. Cancer Research. 64. 1142–1142. 1 indexed citations
19.
Lin, Ying, Ruochun Huang, Nalini Santanam, et al.. (2002). Profiling of human cytokines in healthy individuals with vitamin E supplementation by antibody array. Cancer Letters. 187(1-2). 17–24. 37 indexed citations
20.
Huang, Ruochun, Ying Lin, Yan Fan, et al.. (2001). Enhanced apoptosis under low serum conditions in human glioblastoma cells by connexin 43 (Cx43). Molecular Carcinogenesis. 32(3). 128–138. 35 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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