Yan Dong

6.5k total citations · 1 hit paper
157 papers, 4.9k citations indexed

About

Yan Dong is a scholar working on Molecular Biology, Nutrition and Dietetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yan Dong has authored 157 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 32 papers in Nutrition and Dietetics and 31 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yan Dong's work include Prostate Cancer Treatment and Research (29 papers), Selenium in Biological Systems (20 papers) and Estrogen and related hormone effects (12 papers). Yan Dong is often cited by papers focused on Prostate Cancer Treatment and Research (29 papers), Selenium in Biological Systems (20 papers) and Estrogen and related hormone effects (12 papers). Yan Dong collaborates with scholars based in China, United States and Canada. Yan Dong's co-authors include Clement Ip, Howard E. Ganther, Haitao Zhang, Qingyu Wu, Yanfeng Qi, Oliver Sartor, Jie Wang, Yongmei Liu, Hengwen Chen and Zhan Yang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yan Dong

148 papers receiving 4.8k citations

Hit Papers

Molecular machinery and i... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yan Dong 2.3k 1.1k 962 738 522 157 4.9k
Masashi Hosokawa 2.9k 1.3× 2.1k 1.8× 236 0.2× 670 0.9× 467 0.9× 237 9.4k
Susan Costantini 1.9k 0.9× 549 0.5× 347 0.4× 583 0.8× 686 1.3× 149 4.9k
J A Berliner 1.8k 0.8× 756 0.7× 178 0.2× 572 0.8× 490 0.9× 63 7.3k
Meenakshi Singh 1.2k 0.5× 529 0.5× 319 0.3× 740 1.0× 1.2k 2.3× 104 4.2k
Aviv Shaish 1.6k 0.7× 348 0.3× 199 0.2× 233 0.3× 180 0.3× 121 4.5k
Ronghua Liu 2.0k 0.9× 617 0.5× 181 0.2× 326 0.4× 1.2k 2.4× 168 5.5k
Zhi Luo 1.4k 0.6× 1.2k 1.0× 188 0.2× 405 0.5× 161 0.3× 210 5.7k
Yong Zhao 1.9k 0.8× 361 0.3× 314 0.3× 705 1.0× 267 0.5× 171 4.3k
Chuanyong Guo 3.5k 1.6× 302 0.3× 704 0.7× 1.9k 2.6× 1.0k 1.9× 220 7.7k
John F. Lechner 2.6k 1.1× 321 0.3× 1.6k 1.7× 859 1.2× 1.1k 2.2× 97 5.8k

Countries citing papers authored by Yan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Dong. A scholar is included among the top collaborators of Yan Dong 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 Yan Dong. Yan Dong 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.
Yang, Jiezuan, et al.. (2024). CXCL10 and its receptor in patients with chronic hepatitis B and their ability to predict HBeAg seroconversion during antiviral treatment with TDF. Journal of Medical Virology. 96(3). e29516–e29516. 1 indexed citations
2.
Gao, Qi, et al.. (2023). Insights into the Global Transcriptome Response of Lentinula edodes Mycelia during Aging. Journal of Fungi. 9(3). 379–379. 5 indexed citations
3.
Dong, Yan, Yangyang Fan, Yuan Guo, et al.. (2023). HOG1 Mitogen-Activated Protein Kinase Pathway–Related Autophagy Induced by H2O2 in Lentinula edodes Mycelia. Journal of Fungi. 9(4). 413–413. 3 indexed citations
4.
Dong, Yan, et al.. (2022). Deciphering the Increased Prevalence of TP53 Mutations in Metastatic Prostate Cancer. Cancer Informatics. 21. 2663713606–2663713606. 7 indexed citations
5.
Gao, Qi, Yan Dong, Shuang Song, et al.. (2022). Haplotype-Resolved Genome Analyses Reveal Genetically Distinct Nuclei within a Commercial Cultivar of Lentinula edodes. Journal of Fungi. 8(2). 167–167. 12 indexed citations
6.
Zhang, Wensheng, Yan Dong, Oliver Sartor, & Kun Zhang. (2021). Comprehensive Analysis of Multiple Cohort Datasets Deciphers the Utility of Germline Single-Nucleotide Polymorphisms in Prostate Cancer Diagnosis. Cancer Prevention Research. 14(7). 741–752. 2 indexed citations
7.
Xia, Hongyan, Shanshan Bai, Jianlei Zhao, et al.. (2020). CUDC‐907, a novel dual PI3K and HDAC inhibitor, in prostate cancer: Antitumour activity and molecular mechanism of action. Journal of Cellular and Molecular Medicine. 24(13). 7239–7253. 41 indexed citations
8.
Zhang, Wensheng, Yan Dong, & Kun Zhang. (2020). Gene expression analysis reveals a pitfall in the molecular research of prostate tumors relevant to Gleason score. Journal of Bioinformatics and Computational Biology. 18(5). 2050032–2050032. 2 indexed citations
9.
Dong, Yan, Yu Liu, Chengbo Rong, et al.. (2020). Characterization of brown film formed by Lentinula edodes. Fungal Biology. 124(2). 135–143. 15 indexed citations
11.
Ungerleider, Nathan, Monica Concha, Zhen Lin, et al.. (2018). The Epstein Barr virus circRNAome. PLoS Pathogens. 14(8). e1007206–e1007206. 112 indexed citations
12.
Li, Xiaojie, et al.. (2017). The Role of Wnt/β-Catenin Signaling Pathway in the Transdifferentiation from Periodontal Ligament Stem Cells to Schwann Cells. Cellular Reprogramming. 19(6). 384–388. 6 indexed citations
13.
Yang, Zhan, Guanyi Zhang, Xiaojie Wang, et al.. (2016). Interplay between Cytoplasmic and Nuclear Androgen Receptor Splice Variants Mediates Castration Resistance. Molecular Cancer Research. 15(1). 59–68. 55 indexed citations
14.
Liu, Yufeng, et al.. (2015). Changes analysis of main nutritional components in the production process of black garlic and process optimization. 36(5). 360–364. 1 indexed citations
15.
Qi, Yunfeng, Yanxin Huang, Yan Dong, et al.. (2014). Systematic Analysis of Time-Series Gene Expression Data on Tumor Cell-Selective Apoptotic Responses to HDAC Inhibitors. Computational and Mathematical Methods in Medicine. 2014. 1–15. 2 indexed citations
16.
Li, Jing, Bo Cao, Xichun Liu, et al.. (2011). Berberine Suppresses Androgen Receptor Signaling in Prostate Cancer. Molecular Cancer Therapeutics. 10(8). 1346–1356. 81 indexed citations
17.
Liu, Shuang, Yanfeng Qi, Yubin Ge, et al.. (2010). Telomerase as an Important Target of Androgen Signaling Blockade for Prostate Cancer Treatment. Molecular Cancer Therapeutics. 9(7). 2016–2025. 30 indexed citations
18.
Dong, Yan, Lanjuan Li, Weibo Du, et al.. (2005). [Effects of Gardenia-aweto compound by different extraction method on antagonizing acute respiratory distress syndrome].. PubMed. 30(9). 700–3. 1 indexed citations
19.
Dong, Yan, Howard E. Ganther, Carleton C. Stewart, & Clement Ip. (2002). Identification of molecular targets associated with selenium-induced growth inhibition in human breast cells using cDNA microarrays.. PubMed. 62(3). 708–14. 95 indexed citations
20.
Dong, Yan, Harold L. Asch, Daniel Medina, et al.. (1999). Concurrent deregulation of gelsolin and cyclin D1 in the majority of human and rodent breast cancers. International Journal of Cancer. 81(6). 930–938. 27 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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