Dan Wang

6.8k total citations
220 papers, 4.5k citations indexed

About

Dan Wang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Dan Wang has authored 220 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 91 papers in Cancer Research and 26 papers in Epidemiology. Recurrent topics in Dan Wang's work include Cancer-related molecular mechanisms research (56 papers), MicroRNA in disease regulation (37 papers) and RNA modifications and cancer (32 papers). Dan Wang is often cited by papers focused on Cancer-related molecular mechanisms research (56 papers), MicroRNA in disease regulation (37 papers) and RNA modifications and cancer (32 papers). Dan Wang collaborates with scholars based in China, United States and Germany. Dan Wang's co-authors include Albert S. Baldwin, Sandy D. Westerheide, Julie L. Hanson, Jin Ren, Hui‐Xiong Xu, Chong‐Ke Zhao, Yaping He, Song Liu, Xiao‐Long Li and Hua Tang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dan Wang

205 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Wang China 33 2.4k 2.1k 764 720 415 220 4.5k
Heidi Noels Germany 29 2.9k 1.2× 2.1k 1.0× 2.0k 2.7× 647 0.9× 755 1.8× 72 6.2k
Filio Billia Canada 35 2.4k 1.0× 742 0.4× 774 1.0× 626 0.9× 1.1k 2.6× 158 5.2k
Bo Zhai China 37 3.1k 1.3× 1.4k 0.7× 503 0.7× 1.3k 1.8× 652 1.6× 152 5.4k
Peng Chen China 35 2.1k 0.9× 1.1k 0.5× 1.5k 2.0× 1.6k 2.2× 524 1.3× 279 5.4k
Cong Chen China 31 2.5k 1.0× 594 0.3× 946 1.2× 1.1k 1.5× 391 0.9× 181 4.8k
Jian Jiang China 34 2.2k 0.9× 1.1k 0.6× 449 0.6× 865 1.2× 313 0.8× 107 4.8k
Nathalie Théret France 37 1.4k 0.6× 649 0.3× 550 0.7× 755 1.0× 540 1.3× 87 3.4k
Yujie Liu China 32 2.0k 0.8× 1.6k 0.8× 385 0.5× 713 1.0× 263 0.6× 165 3.8k
Yingyan Yu China 42 2.9k 1.2× 1.8k 0.9× 486 0.6× 1.4k 1.9× 473 1.1× 219 5.4k

Countries citing papers authored by Dan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Wang. A scholar is included among the top collaborators of Dan Wang 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 Wang. Dan Wang 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.
Cui, Liwen, Pearl Pai, Yiping Lu, et al.. (2025). Incidence and survival patterns of clear cell renal cell carcinoma from 2000 to 2017: A SEER Database Analysis. Journal of Cancer. 16(5). 1591–1597. 1 indexed citations
2.
Yao, Zhiyan, T. Sun, Xiaoyu Yang, et al.. (2025). Isolation and identification of a subtype C avian metapneumovirus in chickens in Jiangsu, China. Microbial Pathogenesis. 202. 107394–107394.
3.
Li, Ming-Jia, et al.. (2025). Design of acidic activation-responsive charge-switchable carbon dots and validation of their antimicrobial activity. RSC Advances. 15(7). 5413–5425. 1 indexed citations
5.
Wei, Wei, et al.. (2025). Achieving High Strength and High Electrical Conductivity of Cu-1Cr-0.1Zr Alloy via Multi-Stage Deformation and Aging. Journal of Materials Engineering and Performance.
6.
Zhang, Jie, Wei Dong, Qin Yang, et al.. (2025). Dysregulation of G6PD by HPV E6 exacerbates cervical cancer by activating the STAT3/PLOD2 pathway. Carcinogenesis. 46(2).
7.
Fan, Zhen, et al.. (2024). Simultaneously enhancing strength, ductility, and electrical conductivity in Cu-1Cr-0.1Zr alloy by heterogeneous microstructure. Materials Science and Engineering A. 918. 147473–147473. 5 indexed citations
8.
Chen, Ji, Sheng Xie, Feng Miao, & Dan Wang. (2024). MiRNA-153 attenuates progression of non-small cell lung cancer through targeting positive regulatory/SET domain 2. African Health Sciences. 24(3). 194–204.
9.
Zhang, Yu, Lvyuan Li, Dan Wang, et al.. (2024). Advances in A-to-I RNA editing in cancer. Molecular Cancer. 23(1). 280–280. 11 indexed citations
10.
Sun, Yuhan, Dan Wang, Tomoya Isaji, et al.. (2024). The acetylglucosaminyltransferase GnT-Ⅲ regulates erythroid differentiation through ERK/MAPK signaling. Journal of Biological Chemistry. 300(12). 108010–108010. 1 indexed citations
11.
Xu, Hui, Kun Wei, Wei Wei, et al.. (2023). Microstructure and mechanical properties evolution of Ti-13Nb-13Zr alloy processed by ECAP-Conform and rotary swaging. Journal of Alloys and Compounds. 969. 172351–172351. 6 indexed citations
12.
Wang, Dan, Xue Zhao, Rui Han, et al.. (2023). Experimental study on changes in metabolic mechanism of papillary thyroid carcinoma complicated with Hashimoto’s thyroiditis. Heliyon. 9(10). e20661–e20661. 1 indexed citations
13.
Wang, Dan, Huan Yang, Yun Zhang, et al.. (2021). Inhibition of cystathionine β-synthase promotes apoptosis and reduces cell proliferation in chronic myeloid leukemia. Signal Transduction and Targeted Therapy. 6(1). 52–52. 32 indexed citations
14.
Lü, Chao, Chune Ren, Tingting Yang, et al.. (2020). A Noncanonical Role of Fructose-1, 6-Bisphosphatase 1 Is Essential for Inhibition of Notch1 in Breast Cancer. Molecular Cancer Research. 18(5). 787–796. 24 indexed citations
15.
Zheng, Yanan & Dan Wang. (2019). Structures, Properties, and Applications of Metalloregulatory Proteins. Huaxue jinzhan. 31(10). 1372. 1 indexed citations
16.
Sudha, S., et al.. (2018). End of Life Care for Older Russian Immigrants - Perspectives of Russian Immigrants and Hospice Staff. Journal of Cross-Cultural Gerontology. 33(3). 229–245. 12 indexed citations
17.
Yue, Wenwen, Shu‐Rong Wang, Feng Lu, et al.. (2016). Quality of Life and Cost-Effectiveness of Radiofrequency Ablation versus Open Surgery for Benign Thyroid Nodules: a retrospective cohort study. Scientific Reports. 6(1). 37838–37838. 63 indexed citations
18.
Zhao, Hua, Jie Shen, Qiang Hu, et al.. (2014). Effects of Preanalytic Variables on Circulating MicroRNAs in Whole Blood. Cancer Epidemiology Biomarkers & Prevention. 23(12). 2643–2648. 25 indexed citations
19.
Koman, Igor, Mairead Commane, Geraldine Paszkiewicz, et al.. (2012). Targeting FACT Complex Suppresses Mammary Tumorigenesis in Her2 / neu Transgenic Mice. Cancer Prevention Research. 5(8). 1025–1035. 52 indexed citations
20.
Mhawech‐Fauceglia, Paulette, Dan Wang, Heidi Godoy, et al.. (2012). The role of hypoxic-inducible factor (HIF1α) and aldolaseC protein in endometrial carcinogenesis: a retrospective study of 279 patients. BMJ Open. 2(4). e001450–e001450. 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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