Yue Xiong

49.2k total citations · 12 hit papers
254 papers, 34.2k citations indexed

About

Yue Xiong is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yue Xiong has authored 254 papers receiving a total of 34.2k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Molecular Biology, 83 papers in Oncology and 59 papers in Cancer Research. Recurrent topics in Yue Xiong's work include Ubiquitin and proteasome pathways (74 papers), Cancer-related Molecular Pathways (69 papers) and Epigenetics and DNA Methylation (45 papers). Yue Xiong is often cited by papers focused on Ubiquitin and proteasome pathways (74 papers), Cancer-related Molecular Pathways (69 papers) and Epigenetics and DNA Methylation (45 papers). Yue Xiong collaborates with scholars based in United States, China and Germany. Yue Xiong's co-authors include Kun‐Liang Guan, David Beach, Thomas H. Eickbush, Hui Zhang, Qun‐Ying Lei, Manabu Furukawa, Ryûji Kobayashi, Gregory J. Hannon, David Casso and Shimin Zhao and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Yue Xiong

252 papers receiving 33.7k citations

Hit Papers

p21 is a universal inhibi... 1990 2026 2002 2014 1993 1998 1990 1992 2009 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Xiong United States 91 24.3k 11.3k 5.4k 5.0k 3.3k 254 34.2k
Michael B. Kastan United States 77 30.5k 1.3× 18.4k 1.6× 8.3k 1.5× 4.0k 0.8× 2.9k 0.9× 156 39.1k
Junjie Chen United States 93 26.9k 1.1× 9.8k 0.9× 6.6k 1.2× 4.5k 0.9× 1.7k 0.5× 387 32.5k
Scott H. Kaufmann United States 95 25.8k 1.1× 11.9k 1.1× 3.7k 0.7× 2.8k 0.6× 2.5k 0.7× 406 36.2k
Albert J. Fornace United States 102 25.7k 1.1× 12.9k 1.1× 7.7k 1.4× 3.0k 0.6× 1.7k 0.5× 411 35.8k
William M. Bonner United States 65 25.4k 1.0× 6.2k 0.5× 5.5k 1.0× 2.6k 0.5× 1.7k 0.5× 143 33.4k
Nikola P. Pavletich United States 65 25.2k 1.0× 9.2k 0.8× 3.9k 0.7× 3.6k 0.7× 1.6k 0.5× 79 30.0k
Geoffrey M. Wahl United States 80 21.7k 0.9× 11.1k 1.0× 4.8k 0.9× 2.6k 0.5× 1.6k 0.5× 178 30.1k
Alan D. D’Andrea United States 98 25.3k 1.0× 11.2k 1.0× 6.7k 1.2× 2.9k 0.6× 1.2k 0.4× 313 32.7k
Thomas Ried United States 84 17.7k 0.7× 7.3k 0.6× 6.2k 1.2× 2.3k 0.5× 2.3k 0.7× 378 27.8k
William S. Lane United States 92 28.0k 1.2× 5.5k 0.5× 6.8k 1.3× 3.9k 0.8× 1.9k 0.6× 201 36.8k

Countries citing papers authored by Yue Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Yue Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Xiong. A scholar is included among the top collaborators of Yue Xiong 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 Yue Xiong. Yue Xiong 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.
Xiong, Yue, Chao He, Shuna Liu, et al.. (2024). Black phosphorus nanosheets activate tumor immunity of glioblastoma by modulating the expression of the immunosuppressive molecule PD-L1. Biomaterials. 317. 123062–123062. 2 indexed citations
3.
Cheng, Ke, et al.. (2023). Black phosphorus nanosheets enhance differentiation of neural progenitor cells for improved treatment in spinal cord injury. Chemical Engineering Journal. 472. 144977–144977. 9 indexed citations
5.
Wu, Yihang, Ling Wang, Yue Xiong, et al.. (2020). Cell-based high-throughput screening of cationic polymers for efficient DNA and siRNA delivery. Acta Biomaterialia. 115. 410–417. 13 indexed citations
6.
Xu, Yanping, Lei Lv, Ying Liu, et al.. (2019). Tumor suppressor TET2 promotes cancer immunity and immunotherapy efficacy. Journal of Clinical Investigation. 129(10). 4316–4331. 181 indexed citations
7.
Wang, Zhen, Peng Liu, Xin Zhou, et al.. (2017). Endothelin Promotes Colorectal Tumorigenesis by Activating YAP/TAZ. Cancer Research. 77(9). 2413–2423. 69 indexed citations
8.
Song, Lei, Wei‐Ren Liu, Minbiao Ji, et al.. (2016). Destabilization of Fatty Acid Synthase by Acetylation Inhibits De Novo Lipogenesis and Tumor Cell Growth. Cancer Research. 76(23). 6924–6936. 100 indexed citations
9.
Yang, Hui, Lisha Zhou, Qian Shi, et al.. (2015). SIRT 3‐dependent GOT 2 acetylation status affects the malate–aspartate NADH shuttle activity and pancreatic tumor growth. The EMBO Journal. 34(8). 1110–1125. 155 indexed citations
10.
Xu, Yanping, Fulong Li, Lei Lv, et al.. (2014). Oxidative Stress Activates SIRT2 to Deacetylate and Stimulate Phosphoglycerate Mutase. Cancer Research. 74(13). 3630–3642. 128 indexed citations
11.
Zhao, Di, et al.. (2014). NOTCH-induced aldehyde dehydrogenase 1A1 deacetylation promotes breast cancer stem cells. Journal of Clinical Investigation. 124(12). 5453–5465. 133 indexed citations
12.
Pei, Xin‐Hai, et al.. (2011). Cytoplasmic CUL9/PARC Ubiquitin Ligase Is a Tumor Suppressor and Promotes p53-Dependent Apoptosis. Cancer Research. 71(8). 2969–2977. 47 indexed citations
13.
Zeng, Yaxue, Yojiro Kotake, Xin‐Hai Pei, Matthew D. Smith, & Yue Xiong. (2011). p53 Binds to and Is Required for the Repression of Arf Tumor Suppressor by HDAC and Polycomb. Cancer Research. 71(7). 2781–2792. 27 indexed citations
14.
Zhao, Shimin, Yan Lin, Wei Xu, et al.. (2009). Glioma-Derived Mutations in IDH1 Dominantly Inhibit IDH1 Catalytic Activity and Induce HIF-1α. Science. 324(5924). 261–265. 896 indexed citations breakdown →
15.
Terzaghi, William, Giuliana Gusmaroli, H.J. Yoon, et al.. (2008). Characterization of Arabidopsis and Rice DWD Proteins and Their Roles as Substrate Receptors for CUL4-RING E3 Ubiquitin Ligases. The Plant Cell. 20(1). 152–167. 211 indexed citations
16.
Zhang, Yu, Suhua Feng, Fangfang Chen, et al.. (2008). Arabidopsis DDB1-CUL4 ASSOCIATED FACTOR1 Forms a Nuclear E3 Ubiquitin Ligase with DDB1 and CUL4 That Is Involved in Multiple Plant Developmental Processes. The Plant Cell. 20(6). 1437–1455. 128 indexed citations
17.
Pei, Xin‐Hai, Feng Bai, Matthew D. Smith, & Yue Xiong. (2007). p18 Ink4c Collaborates with Men1 to Constrain Lung Stem Cell Expansion and Suppress Non–Small-Cell Lung Cancers. Cancer Research. 67(7). 3162–3170. 34 indexed citations
18.
Ramsey, Matthew R., Janakiraman Krishnamurthy, Xin‐Hai Pei, et al.. (2007). Expression of p16Ink4a Compensates for p18Ink4c Loss in Cyclin-Dependent Kinase 4/6–Dependent Tumors and Tissues. Cancer Research. 67(10). 4732–4741. 53 indexed citations
19.
Bai, Feng, Xin‐Hai Pei, Toru Nishikawa, Matthew D. Smith, & Yue Xiong. (2006). p18 Ink4c , but Not p27 Kip1 , Collaborates with Men1 To Suppress Neuroendocrine Organ Tumors. Molecular and Cellular Biology. 27(4). 1495–1504. 47 indexed citations
20.
Jakubczak, John, Yue Xiong, & Thomas H. Eickbush. (1990). Type I (R1) and type II (R2) ribosomal DNA insertions of Drosophila melanogaster are retrotransposable elements closely related to those of Bombyx mori. Journal of Molecular Biology. 212(1). 37–52. 130 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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