Dong Yin

7.3k total citations · 2 hit papers
103 papers, 5.0k citations indexed

About

Dong Yin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Dong Yin has authored 103 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 30 papers in Oncology and 25 papers in Cancer Research. Recurrent topics in Dong Yin's work include RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (16 papers) and RNA Research and Splicing (14 papers). Dong Yin is often cited by papers focused on RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (16 papers) and RNA Research and Splicing (14 papers). Dong Yin collaborates with scholars based in China, United States and Singapore. Dong Yin's co-authors include H. Phillip Koeffler, Keith L. Black, De‐Chen Lin, Dong Xie, Erwei Song, Yin Zhang, Gentao Liu, Kaishun Hu, Qiang Liu and Jonathan Said and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Dong Yin

97 papers receiving 4.9k citations

Hit Papers

Extracellular vesicle-packaged HIF-1α-stabilizing lncRNA ... 2019 2026 2021 2023 2019 2024 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
Dong Yin China 37 3.6k 1.8k 968 688 386 103 5.0k
Nehad M. Alajez Qatar 37 3.0k 0.8× 2.2k 1.2× 922 1.0× 575 0.8× 336 0.9× 120 4.4k
Tao Zhu China 47 4.0k 1.1× 2.3k 1.3× 1.6k 1.6× 608 0.9× 515 1.3× 158 6.2k
Monica Fedele Italy 46 4.5k 1.3× 2.4k 1.3× 1.2k 1.3× 588 0.9× 552 1.4× 129 6.5k
Johannes H. Schulte Germany 42 4.3k 1.2× 2.1k 1.2× 1.3k 1.3× 520 0.8× 368 1.0× 176 6.3k
Gang Li China 37 3.0k 0.9× 1.7k 1.0× 590 0.6× 700 1.0× 392 1.0× 176 4.6k
Dung‐Fang Lee United States 36 4.9k 1.4× 1.4k 0.8× 1.6k 1.6× 660 1.0× 391 1.0× 87 6.3k
Ittai Ben‐Porath Israel 27 4.1k 1.2× 1.2k 0.7× 1.8k 1.9× 854 1.2× 420 1.1× 35 6.6k
Cristian Rodriguez‐Aguayo United States 39 3.7k 1.0× 2.3k 1.3× 890 0.9× 545 0.8× 306 0.8× 101 5.1k
Bo Hu United States 39 3.4k 1.0× 1.9k 1.1× 1.1k 1.2× 577 0.8× 355 0.9× 107 5.2k
Francesc Viñals Spain 35 3.8k 1.1× 1.6k 0.9× 1.7k 1.7× 530 0.8× 653 1.7× 78 6.2k

Countries citing papers authored by Dong Yin

Since Specialization
Citations

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

Fields of papers citing papers by Dong Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Yin. A scholar is included among the top collaborators of Dong Yin 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 Dong Yin. Dong Yin 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.
Jiang, Siyu, Dong Yin, Long Chen, et al.. (2025). Erucin Alleviates Cardiac Hypertrophy by Improving Mitochondrial Function via Nrf2‐Sirt3 Pathway. Phytotherapy Research. 39(6). 2989–3001.
2.
Wu, Weijun, Wenjing Wu, Qiao Yang, et al.. (2024). The dePARylase NUDT16 promotes radiation resistance of cancer cells by blocking SETD3 for degradation via reversing its ADP-ribosylation. Journal of Biological Chemistry. 300(3). 105671–105671. 2 indexed citations
3.
Liao, Jian‐You, Bing Yang, Jing Deng, et al.. (2024). RBPWorld for exploring functions and disease associations of RNA-binding proteins across species. Nucleic Acids Research. 53(D1). D220–D232. 5 indexed citations
4.
Luo, Peng, et al.. (2024). Periodic changes of cyclin D1 mRNA stability are regulated by PC4 modifications in the cell cycle. The Journal of Cell Biology. 223(3). 2 indexed citations
5.
Li, Yun, Hengxing Chen, Xuan Xie, et al.. (2022). PINK1-Mediated Mitophagy Promotes Oxidative Phosphorylation and Redox Homeostasis to Induce Drug-Tolerant Persister Cancer Cells. Cancer Research. 83(3). 398–413. 79 indexed citations
6.
Qiu, Yuntan, Meng Meng, Jingyuan Zhang, et al.. (2021). RNA-binding protein MEX3A controls G1/S transition via regulating the RB/E2F pathway in clear cell renal cell carcinoma. Molecular Therapy — Nucleic Acids. 27. 241–255. 7 indexed citations
7.
Leng, Yang, Li X, Peng Du, et al.. (2020). Preparation of PU/Fibrin Vascular Scaffold with Good Biomechanical Properties and Evaluation of Its Performance in vitro and in vivo. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Liao, Jian‐You, Bing Yang, Yu‐Chan Zhang, et al.. (2019). EuRBPDB: a comprehensive resource for annotation, functional and oncological investigation of eukaryotic RNA binding proteins (RBPs). Nucleic Acids Research. 48(D1). D307–D313. 71 indexed citations
9.
Zhou, Nan, Weixi Deng, Xuezhen Zeng, et al.. (2019). CIRDES: an efficient genome-wide method for in vivo RNA–RNA interactome analysis. The Analyst. 144(21). 6197–6206.
10.
Peng, Li, Binyuan Jiang, Xiaoqing Yuan, et al.. (2018). Super-Enhancer–Associated Long Noncoding RNA HCCL5 Is Activated by ZEB1 and Promotes the Malignancy of Hepatocellular Carcinoma. Cancer Research. 79(3). 572–584. 109 indexed citations
11.
Hu, Kaishun, Yu Li, Wenjing Wu, et al.. (2018). High-performance gene expression and knockout tools using sleeping beauty transposon system. Mobile DNA. 9(1). 33–33. 20 indexed citations
12.
Zhang, Yin, Anand Mayakonda, Vikas Madan, et al.. (2018). ARID1A and CEBPα cooperatively inhibit UCA1 transcription in breast cancer. Oncogene. 37(45). 5939–5951. 23 indexed citations
13.
Lin, De‐Chen, Anand Mayakonda, Huy Q. Dinh, et al.. (2017). Genomic and Epigenomic Heterogeneity of Hepatocellular Carcinoma. Cancer Research. 77(9). 2255–2265. 148 indexed citations
14.
Huang, Pinbo, Baoxiong Zhuang, Heyun Zhang, et al.. (2015). Hepatitis B Virus X Protein (HBx) Is Responsible for Resistance to Targeted Therapies in Hepatocellular Carcinoma: Ex Vivo Culture Evidence. Clinical Cancer Research. 21(19). 4420–4430. 20 indexed citations
15.
Lin, De‐Chen, Liang Xu, Ye Chen, et al.. (2015). Genomic and Functional Analysis of the E3 Ligase PARK2 in Glioma. Cancer Research. 75(9). 1815–1827. 51 indexed citations
16.
Yin, Dong. (2014). The Epidemiology and Current Situation of Digestive System Carcinoma. Medical Recapitulate. 1 indexed citations
17.
Yin, Dong. (2012). Relationship between tagSNPs and haplotype of TNF-A gene and gastric cancer in Uygur and Han ethnic groups in Xinjiang. 3 indexed citations
18.
Yang, Yi-Ling, et al.. (2012). Genetic heterogeneity of HER2 in breast cancer: impact on HER2 testing and its clinicopathologic significance. Breast Cancer Research and Treatment. 134(3). 1095–1102. 34 indexed citations
19.
Thoennissen, Nils H., Gabriela B. Iwanski, Ngan Doan, et al.. (2009). Cucurbitacin B Induces Apoptosis by Inhibition of the JAK/STAT Pathway and Potentiates Antiproliferative Effects of Gemcitabine on Pancreatic Cancer Cells. Cancer Research. 69(14). 5876–5884. 203 indexed citations
20.
Cao, Qi, Sigal Gery, Dong Yin, et al.. (2009). A Role for the Clock Gene Per1 in Prostate Cancer. Cancer Research. 69(19). 7619–7625. 156 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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