Yujie Tang

4.9k total citations · 1 hit paper
55 papers, 1.3k citations indexed

About

Yujie Tang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yujie Tang has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Yujie Tang's work include Epigenetics and DNA Methylation (10 papers), Protein Degradation and Inhibitors (10 papers) and Glioma Diagnosis and Treatment (8 papers). Yujie Tang is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Protein Degradation and Inhibitors (10 papers) and Glioma Diagnosis and Treatment (8 papers). Yujie Tang collaborates with scholars based in China, Thailand and United States. Yujie Tang's co-authors include Michelle Monje, Surya Nagaraja, Pamelyn J. Woo, Hannes Vogel, Siddhartha S. Mitra, Alyssa Noll, Christopher Mount, Erin M. Gibson, Robert C. Malenka and Jai S. Polepalli and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yujie Tang

48 papers receiving 1.3k citations

Hit Papers

Neuronal Activity Promote... 2015 2026 2018 2022 2015 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
Yujie Tang China 13 683 500 222 196 145 55 1.3k
Nadejda M. Tsankova United States 18 543 0.8× 351 0.7× 189 0.9× 141 0.7× 155 1.1× 58 1.1k
Viola Caretti United States 13 374 0.5× 456 0.9× 149 0.7× 197 1.0× 179 1.2× 17 1.0k
Matthias Osswald Germany 16 424 0.6× 454 0.9× 190 0.9× 253 1.3× 100 0.7× 24 1.2k
Jennifer Ayers-Ringler United States 11 369 0.5× 398 0.8× 243 1.1× 160 0.8× 93 0.6× 18 918
Jung Yeon Lim South Korea 20 660 1.0× 768 1.5× 152 0.7× 253 1.3× 223 1.5× 38 1.5k
Bong Gu Kang South Korea 13 564 0.8× 361 0.7× 218 1.0× 364 1.9× 97 0.7× 22 1.1k
Vivian Capilla‐González Spain 22 508 0.7× 416 0.8× 216 1.0× 134 0.7× 165 1.1× 35 1.3k
Seong Muk Kim South Korea 23 805 1.2× 980 2.0× 206 0.9× 321 1.6× 214 1.5× 27 1.7k
W. Shawn Carbonell United States 15 706 1.0× 346 0.7× 388 1.7× 361 1.8× 107 0.7× 17 1.7k
Violaine Harris United States 20 953 1.4× 289 0.6× 149 0.7× 189 1.0× 154 1.1× 31 1.5k

Countries citing papers authored by Yujie Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yujie Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujie Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yujie Tang. A scholar is included among the top collaborators of Yujie Tang 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 Yujie Tang. Yujie Tang 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.
Xu, Lingyun, Yujie Tang, Ting Zhang, et al.. (2025). Association Analysis of Insulin Resistance Metabolic Score (METS‐IR) and Gestational Diabetes Mellitus: Based on National Health and Nutrition Examination Survey Database From 2007 to 2018. Endocrinology Diabetes & Metabolism. 8(4). e70062–e70062. 1 indexed citations
2.
Kong, Yu, Renwei Jing, Yingying Zhao, et al.. (2025). Targeting the SP/KLF Transcriptional Regulatory Network Synergizes with HDAC Inhibition to Impede Progression of H3K27M Diffuse Intrinsic Pontine Glioma. Cancer Research. 85(11). 2100–2116. 1 indexed citations
3.
Tang, Yujie, Mengfan Jia, Xinxin Xie, et al.. (2025). Assessing the transfer of Cd and As from co-contaminated soil to peanut (Arachis hypogaea L.): prediction models and soil thresholds. Environmental Pollution. 381. 126618–126618. 3 indexed citations
4.
Xie, Jiahui, Hui Wang, Yujie Tang, et al.. (2025). Multifunctional Nano‐COF‐Embedded Silica Composite for Efficient Photocatalytic NADH Regeneration. Chemistry - A European Journal. 31(35). e202500115–e202500115.
5.
Zhou, Yiwen, et al.. (2025). Acceptance of advanced driver assistance systems among older drivers: Insights from cross-age group analysis. Journal of Transport & Health. 45. 102179–102179. 1 indexed citations
6.
Li, Keke, Ruimin Wang, Zhengying Gu, et al.. (2025). Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas. Nature Communications. 16(1). 6108–6108. 2 indexed citations
7.
Pei, Xinyu, Yujie Tang, Sainan Liu, et al.. (2024). The effect of changes in morphology and structure of ZnS particle spheres on H2S gas release and cellular uptake behavior. Ceramics International. 50(11). 19910–19924. 1 indexed citations
8.
Tang, Yingying, Wenjuan Yang, Zhengyan Zhang, et al.. (2024). MED12 loss activates endogenous retroelements to sensitise immunotherapy in pancreatic cancer. Gut. 73(12). 1999–2011. 4 indexed citations
10.
Pei, Xinyu, et al.. (2024). Stability-enhanced (Cu-, Zn-)MOFs via (Cu, Zn)S composite strategy: A promising approach for oil-water separation. Surface and Coatings Technology. 494. 131316–131316. 4 indexed citations
11.
Fu, Zhen, et al.. (2024). Rheological properties and microscopic mechanism of composite regenerated asphalt. Fuel. 385. 134159–134159. 9 indexed citations
12.
Tang, Yujie, Meng Ru, Yingbin Zhang, et al.. (2023). Zinc supplementation promotes oocyte maturation and subsequent embryonic development in sheep. Theriogenology. 206. 161–169. 10 indexed citations
13.
Yan, Kun, Yaqiang Hong, Yi Wang, et al.. (2023). Fimepinostat Impairs NFκB and PI3K/AKT Signaling and Enhances Gemcitabine Efficacy in H3.3K27M-Diffuse Intrinsic Pontine Glioma. Cancer Research. 84(4). 598–615. 12 indexed citations
14.
Mo, Jialin, Fang Liu, Xi Sun, et al.. (2021). Inhibition of the FACT Complex Targets Aberrant Hedgehog Signaling and Overcomes Resistance to Smoothened Antagonists. Cancer Research. 81(11). 3105–3120. 12 indexed citations
15.
Zhao, Yang, Tiantian Li, Wei Meng, et al.. (2020). <p>Effective Inhibition of <em>MYC</em>-Amplified Group 3 Medulloblastoma Through Targeting EIF4A1</p>. Cancer Management and Research. Volume 12. 12473–12485. 5 indexed citations
16.
Lu, Ping, Jing Geng, Lei Zhang, et al.. (2019). THZ1 reveals CDK7-dependent transcriptional addictions in pancreatic cancer. Oncogene. 38(20). 3932–3945. 49 indexed citations
17.
Meng, Wei, Jiajia Wang, Baocheng Wang, et al.. (2018). CDK7 inhibition is a novel therapeutic strategy against GBM both in vitro and in vivo. Cancer Management and Research. Volume 10. 5747–5758. 31 indexed citations
18.
Meng, Wei, Baocheng Wang, Weiwei Mao, et al.. (2018). Enhanced efficacy of histone deacetylase inhibitor combined with bromodomain inhibitor in glioblastoma. Journal of Experimental & Clinical Cancer Research. 37(1). 241–241. 31 indexed citations
19.
Nagaraja, Surya, Nicholas A. Vitanza, Pamelyn J. Woo, et al.. (2017). Transcriptional Dependencies in Diffuse Intrinsic Pontine Glioma. Cancer Cell. 31(5). 635–652.e6. 257 indexed citations
20.
Yue, Sibiao, et al.. (2011). Loop nucleotides control primary and mature miRNA function in target recognition and repression. RNA Biology. 8(6). 1115–1123. 19 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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