Yang Wang

13.8k total citations · 4 hit papers
225 papers, 9.5k citations indexed

About

Yang Wang is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Yang Wang has authored 225 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Molecular Biology, 58 papers in Cancer Research and 27 papers in Cell Biology. Recurrent topics in Yang Wang's work include RNA modifications and cancer (61 papers), RNA Research and Splicing (50 papers) and Cancer-related molecular mechanisms research (31 papers). Yang Wang is often cited by papers focused on RNA modifications and cancer (61 papers), RNA Research and Splicing (50 papers) and Cancer-related molecular mechanisms research (31 papers). Yang Wang collaborates with scholars based in China, United States and Canada. Yang Wang's co-authors include Zefeng Wang, Zhaolei Zhang, Jing Zhao, Yue Li, Julia I. Toth, Matthew D. Petroski, Ling‐Ling Chen, Xinshu Xiao, Yongfeng Jin and Xiaojuan Fan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yang Wang

212 papers receiving 9.5k citations

Hit Papers

Extensive translation of circular RNAs driven by N6-methy... 2014 2026 2018 2022 2017 2014 2014 2021 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Wang China 45 8.1k 3.8k 793 524 524 225 9.5k
Elizaveta Freinkman United States 35 5.7k 0.7× 3.0k 0.8× 939 1.2× 645 1.2× 526 1.0× 40 8.1k
Shu‐Bing Qian United States 38 7.2k 0.9× 2.3k 0.6× 618 0.8× 866 1.7× 826 1.6× 68 9.0k
Rui Zhang China 49 5.9k 0.7× 4.1k 1.1× 972 1.2× 514 1.0× 289 0.6× 290 7.8k
Rajani Ravi United States 35 4.6k 0.6× 2.3k 0.6× 2.0k 2.6× 614 1.2× 307 0.6× 43 7.9k
Xiongbin Lu United States 49 4.9k 0.6× 1.9k 0.5× 2.1k 2.7× 267 0.5× 452 0.9× 112 7.5k
Wenxin Qin China 44 5.3k 0.7× 3.3k 0.9× 1.4k 1.7× 597 1.1× 380 0.7× 137 7.7k
Jianren Gu China 48 8.1k 1.0× 5.3k 1.4× 2.1k 2.6× 836 1.6× 368 0.7× 150 11.0k
Kumaravel Somasundaram India 44 4.5k 0.6× 1.9k 0.5× 2.0k 2.6× 356 0.7× 257 0.5× 107 6.5k
Leonard H. Rome United States 46 6.2k 0.8× 1.5k 0.4× 1.4k 1.7× 404 0.8× 934 1.8× 133 8.9k

Countries citing papers authored by Yang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Wang. A scholar is included among the top collaborators of Yang 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 Yang Wang. Yang 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.
Yi, Hang, et al.. (2025). Shifting landscapes of gender equity in oncology journals: a decade of authorship trends. Molecular Cancer. 24(1). 81–81.
3.
Gao, Huan, et al.. (2025). Alternative Splicing of Functional Genes in Plant Growth, Development, and Stress Responses. International Journal of Molecular Sciences. 26(12). 5864–5864. 2 indexed citations
4.
Wu, Dongdong, Hui Zhang, Fang Li, et al.. (2024). Sec13 promotes glycolysis by inhibiting Ubqln1 mediated Pgm1 ubiquitination in ALI. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(8). 167475–167475.
5.
Xu, Congjie, et al.. (2024). N6-methyladenosine-modified circ_104797 sustains cisplatin resistance in bladder cancer through acting as RNA sponges. Cellular & Molecular Biology Letters. 29(1). 28–28. 14 indexed citations
6.
Chen, Dan, Liang Zhou, Chaoqun Chen, et al.. (2024). RBMS1 Coordinates with the m 6 A Reader YTHDF1 to Promote NSCLC Metastasis through Stimulating S100P Translation. Advanced Science. 11(15). e2307122–e2307122. 11 indexed citations
8.
Wang, Yang, et al.. (2024). Bridging the gap: advancing gender equality in medical research. Postgraduate Medical Journal. 101(1198). 670–679. 1 indexed citations
9.
Wang, Yang, et al.. (2023). Nuclear lncRNA NORSF reduces E2 release in granulosa cells by sponging the endogenous small activating RNA miR-339. BMC Biology. 21(1). 221–221. 7 indexed citations
10.
Zang, Yachen, Lü Jin, Yang Wang, et al.. (2023). CDC20 promotes radioresistance of prostate cancer by activating Twist1 expression. APOPTOSIS. 28(11-12). 1584–1595. 5 indexed citations
11.
Zhang, Jiacheng, Yang Wang, Yuan Liu, et al.. (2021). A pH and Mg2+-Responsive Molecular Switch Based on a Stable DNA Minidumbbell Bearing 5′ and 3′-Overhangs. ACS Omega. 6(42). 28263–28269. 2 indexed citations
12.
Zhao, Yan, Xiaolu Li, Lanlan Yu, et al.. (2021). Trends in the biological functions and medical applications of extracellular vesicles and analogues. Acta Pharmaceutica Sinica B. 11(8). 2114–2135. 46 indexed citations
13.
Wan, Lixin, Yang Wang, Zijie Zhang, et al.. (2021). Elevated TEFM expression promotes growth and metastasis through activation of ROS/ERK signaling in hepatocellular carcinoma. Cell Death and Disease. 12(4). 325–325. 20 indexed citations
14.
Wang, Yang, et al.. (2021). CircKRT1 drives tumor progression and immune evasion in oral squamous cell carcinoma by sponging miR‐495‐3p to regulate PDL1 expression. Cell Biology International. 45(7). 1423–1435. 26 indexed citations
15.
Wang, Yang, et al.. (2020). Circ_0001023 Promotes Proliferation and Metastasis of Gastric Cancer Cells Through miR-409-3p/PHF10 Axis. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Liu, Jie, Sicong Zeng, Yang Wang, et al.. (2020). Essentiality of CTNNB1 in Malignant Transformation of Human Embryonic Stem Cells under Long-Term Suboptimal Conditions. Stem Cells International. 2020. 1–14. 3 indexed citations
17.
Liu, Jian, Chunxiao Li, Jinsong Wang, et al.. (2020). Chromatin modifier MTA1 regulates mitotic transition and tumorigenesis by orchestrating mitotic mRNA processing. Nature Communications. 11(1). 4455–4455. 31 indexed citations
18.
Jiang, Siyuan, Xuetong Wang, Dalong Song, et al.. (2019). Cholesterol Induces Epithelial-to-Mesenchymal Transition of Prostate Cancer Cells by Suppressing Degradation of EGFR through APMAP. Cancer Research. 79(12). 3063–3075. 81 indexed citations
19.
Hou, Guiqin, Qiang Zhao, Miaomiao Zhang, et al.. (2019). LSD1 regulates Notch and PI3K/Akt/mTOR pathways through binding the promoter regions of Notch target genes in esophageal squamous cell carcinoma. SHILAP Revista de lepidopterología. 1 indexed citations
20.
He, Hua, Fumou Sun, Yao Xu, et al.. (2017). Selective targeted delivery of doxorubicin via conjugating to anti-CD24 antibody results in enhanced antitumor potency for hepatocellular carcinoma both in vitro and in vivo. Journal of Cancer Research and Clinical Oncology. 143(10). 1929–1940. 30 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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