Yi‐Wu Dang

3.3k total citations
133 papers, 2.5k citations indexed

About

Yi‐Wu Dang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yi‐Wu Dang has authored 133 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 63 papers in Cancer Research and 29 papers in Oncology. Recurrent topics in Yi‐Wu Dang's work include Cancer-related molecular mechanisms research (36 papers), RNA modifications and cancer (34 papers) and MicroRNA in disease regulation (28 papers). Yi‐Wu Dang is often cited by papers focused on Cancer-related molecular mechanisms research (36 papers), RNA modifications and cancer (34 papers) and MicroRNA in disease regulation (28 papers). Yi‐Wu Dang collaborates with scholars based in China, South Korea and United States. Yi‐Wu Dang's co-authors include Gang Chen, Rong‐Quan He, Peng Lin, Dianzhong Luo, Zhen‐Bo Feng, Dandan Xiong, Fanghui Ren, Hong Yang, Dianzhong Luo and Dong‐yue Wen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cellular Physiology.

In The Last Decade

Yi‐Wu Dang

125 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi‐Wu Dang China 26 1.7k 1.4k 422 367 201 133 2.5k
Lisha Qi China 28 1.4k 0.8× 893 0.6× 585 1.4× 415 1.1× 201 1.0× 71 2.4k
Rong‐Quan He China 29 2.2k 1.3× 1.8k 1.3× 329 0.8× 471 1.3× 194 1.0× 187 2.9k
Qu Cai China 29 1.6k 0.9× 1.2k 0.9× 655 1.6× 410 1.1× 163 0.8× 74 2.4k
Dimitrios Spentzos United States 26 1.7k 1.0× 913 0.7× 567 1.3× 443 1.2× 165 0.8× 43 2.6k
Kejun Nan China 24 1.1k 0.6× 829 0.6× 435 1.0× 230 0.6× 112 0.6× 60 1.6k
Felice Ho‐Ching Tsang Hong Kong 22 3.1k 1.8× 2.0k 1.4× 503 1.2× 310 0.8× 361 1.8× 29 3.8k
Naohiro Nishida Japan 30 2.6k 1.5× 2.2k 1.6× 776 1.8× 307 0.8× 147 0.7× 72 3.6k
Shuang‐Jian Qiu China 21 1.4k 0.8× 1.2k 0.9× 428 1.0× 235 0.6× 224 1.1× 36 2.3k
Longjuan Zhang China 27 1.4k 0.8× 860 0.6× 462 1.1× 149 0.4× 190 0.9× 55 2.0k
Qinwen Zeng United States 4 1.6k 0.9× 1.4k 1.0× 710 1.7× 248 0.7× 211 1.0× 5 2.3k

Countries citing papers authored by Yi‐Wu Dang

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Wu Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Wu Dang. 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 Yi‐Wu Dang. The network helps show where Yi‐Wu Dang may publish in the future.

Co-authorship network of co-authors of Yi‐Wu Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Wu Dang. A scholar is included among the top collaborators of Yi‐Wu Dang 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 Yi‐Wu Dang. Yi‐Wu Dang 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
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Fang, Ye‐Ying, Dongming Li, Yu-Lu Tang, et al.. (2024). A Comprehensive Analysis of LYAR in Colorectal Cancer: Prognostic Marker and Therapeutic Target. Cancer Biotherapy and Radiopharmaceuticals. 39(9). 673–689.
4.
Li, Jian‐Di, Yi Chen, Yuhong Zhou, et al.. (2023). Triosephosphate isomerase 1 may be a risk predictor in laryngeal squamous cell carcinoma: a multi-centered study integrating bulk RNA, single-cell RNA, and protein immunohistochemistry. European journal of medical research. 28(1). 591–591. 5 indexed citations
5.
Dang, Yi‐Wu, et al.. (2022). Bronchial Artery-Pulmonary Artery Shunt by Apiotrichum mycotoxinivorans Infection in a Recurrent Hemoptysis Case. Infection and Drug Resistance. Volume 15. 4611–4615. 4 indexed citations
6.
Chen, Gang, Jian‐Di Li, Zhi‐Guang Huang, et al.. (2022). Potential Molecular Mechanism of Upregulated Aryl Hydrocarbon Receptor Nuclear Translocator 2 in Nasopharyngeal Carcinoma. Computational and Mathematical Methods in Medicine. 2022. 1–20. 1 indexed citations
7.
Chen, Gang, Zhi‐Guang Huang, Yu Zhang, et al.. (2022). Metadherin Promotes the Development of Bladder Cancer by Enhancing Cell Division. Cancer Biotherapy and Radiopharmaceuticals. 38(9). 650–662. 2 indexed citations
8.
Huang, Zhi‐Guang, et al.. (2022). Clinical value and potential mechanisms of BUB1B up-regulation in nasopharyngeal carcinoma. BMC Medical Genomics. 15(1). 272–272. 3 indexed citations
9.
Chen, Yidi, Basen Li, Yi‐Wu Dang, et al.. (2022). Multi-parameter diffusion and perfusion magnetic resonance imaging and radiomics nomogram for preoperative evaluation of aquaporin-1 expression in rectal cancer. Abdominal Radiology. 47(4). 1276–1290. 13 indexed citations
10.
Huang, Wan‐Ying, Gang Chen, Shangwei Chen, et al.. (2021). The Indication of Poor Prognosis by High Expression of ENO1 in Squamous Cell Carcinoma of the Lung. Journal of Oncology. 2021. 1–11. 6 indexed citations
11.
Lu, Huiping, Jian‐Di Li, Gang Chen, et al.. (2021). Clinical Implication of E2F Transcription Factor 1 in Hepatocellular Carcinoma Tissues. Cancer Biotherapy and Radiopharmaceuticals. 38(10). 684–707. 6 indexed citations
12.
Chen, Shangwei, Hua‐Fu Zhou, Hanjie Zhang, et al.. (2021). The Clinical Significance and Potential Molecular Mechanism of PTTG1 in Esophageal Squamous Cell Carcinoma. Frontiers in Genetics. 11. 583085–583085. 12 indexed citations
13.
Yu, Long, Yonghua Jiang, Jingjing Zeng, et al.. (2020). The expression and biological function of chemokine CXCL12 and receptor CXCR4/CXCR7 in placenta accreta spectrum disorders. Journal of Cellular and Molecular Medicine. 24(5). 3167–3182. 14 indexed citations
14.
Li, Guosheng, Wei Hou, Gang Chen, et al.. (2020). Clinical Significance of Integrin Subunit Beta 4 in Head and Neck Squamous Cell Carcinoma. Cancer Biotherapy and Radiopharmaceuticals. 37(4). 256–275. 9 indexed citations
15.
Xie, Li, Qingyu Wang, Long Ge, et al.. (2019). OSacc: Gene Expression-Based Survival Analysis Web Tool For Adrenocortical Carcinoma. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Gao, Li, Yi‐Wu Dang, Ping Li, et al.. (2019). Protective potential of miR-146a-5p and its underlying molecular mechanism in diverse cancers: a comprehensive meta-analysis and bioinformatics analysis. Cancer Cell International. 19(1). 167–167. 14 indexed citations
17.
Xiong, Dandan, Wenqing Xu, Rong‐Quan He, et al.. (2018). A Network Pharmacology-Based Analysis of Multi-Target, Multi-Pathway, Multi-Compound Treatment for Ovarian Serous Cystadenocarcinoma. Clinical Drug Investigation. 38(10). 909–925. 12 indexed citations
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Ren, Fanghui, Ruixue Tang, Xin Zhang, et al.. (2015). Overexpression of MMP Family Members Functions as Prognostic Biomarker for Breast Cancer Patients: A Systematic Review and Meta-Analysis. PLoS ONE. 10(8). e0135544–e0135544. 160 indexed citations
20.
Liu, Jianghua, Gang Chen, Yi‐Wu Dang, Chunjun Li, & Dianzhong Luo. (2014). Expression and Prognostic Significance of lncRNA MALAT1 in Pancreatic Cancer Tissues. Asian Pacific Journal of Cancer Prevention. 15(7). 2971–2977. 126 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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