Xiao-Dan Peng

1.4k total citations · 1 hit paper
9 papers, 907 citations indexed

About

Xiao-Dan Peng is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Xiao-Dan Peng has authored 9 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Epidemiology. Recurrent topics in Xiao-Dan Peng's work include RNA modifications and cancer (2 papers), Autophagy in Disease and Therapy (2 papers) and Circular RNAs in diseases (2 papers). Xiao-Dan Peng is often cited by papers focused on RNA modifications and cancer (2 papers), Autophagy in Disease and Therapy (2 papers) and Circular RNAs in diseases (2 papers). Xiao-Dan Peng collaborates with scholars based in China. Xiao-Dan Peng's co-authors include Yuhong Chen, Gong‐Kan Feng, Yun Huang, Rong Deng, Zhi‐Ling Li, Xiao‐Feng Zhu, Bingxin Hu, Hai‐Liang Zhang, Zhipeng Ye and Tian Du and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Cell Biology.

In The Last Decade

Xiao-Dan Peng

9 papers receiving 907 citations

Hit Papers

PKCβII phosphorylates ACSL4 to amplify lipid peroxidation... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao-Dan Peng China 7 620 347 328 181 169 9 907
Misty S. Martin-Sandoval United States 7 579 0.9× 339 1.0× 417 1.3× 170 0.9× 101 0.6× 8 870
Nicolaos Palaskas United States 8 625 1.0× 316 0.9× 290 0.9× 266 1.5× 143 0.8× 10 898
Xiao‐Shun He China 13 392 0.6× 160 0.5× 244 0.7× 128 0.7× 143 0.8× 29 681
Sarah A. Best Australia 17 591 1.0× 141 0.4× 238 0.7× 311 1.7× 173 1.0× 39 980
Shilei Tang China 13 596 1.0× 148 0.4× 365 1.1× 102 0.6× 108 0.6× 15 810
Xueqi Ou China 15 868 1.4× 194 0.6× 630 1.9× 283 1.6× 130 0.8× 22 1.2k
Konstantinos V. Floros United States 16 707 1.1× 158 0.5× 214 0.7× 242 1.3× 71 0.4× 24 954
Hailong Wang China 10 777 1.3× 407 1.2× 613 1.9× 175 1.0× 101 0.6× 22 1.0k
Yingke Liang China 13 763 1.2× 158 0.5× 551 1.7× 253 1.4× 124 0.7× 29 1.1k

Countries citing papers authored by Xiao-Dan Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Dan Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao-Dan Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Dan Peng. A scholar is included among the top collaborators of Xiao-Dan Peng 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 Xiao-Dan Peng. Xiao-Dan Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Li, Zhu, Gangling Tong, Xiao-Dan Peng, & Shubin Wang. (2023). Circ_0005785 Silencing Constrains the Functional Properties of Colorectal Cancer Cells Depending on miR-7-5p/DNMT3A Axis. Biochemical Genetics. 62(3). 1795–1810. 2 indexed citations
2.
Zhu, Li, Gangling Tong, Xiao-Dan Peng, & Shubin Wang. (2023). Circ_0000370 Plays an Oncogenic Role in Colorectal Cancer by Regulating the miR-502-5p/SIRT1 Axis. Biochemical Genetics. 62(2). 1231–1247. 1 indexed citations
3.
Zhang, Hai‐Liang, Bingxin Hu, Zhi‐Ling Li, et al.. (2022). PKCβII phosphorylates ACSL4 to amplify lipid peroxidation to induce ferroptosis. Nature Cell Biology. 24(1). 88–98. 394 indexed citations breakdown →
4.
Huang, Yun, Hailiang Zhang, Zhi‐Ling Li, et al.. (2021). FUT8-mediated aberrant N-glycosylation of B7H3 suppresses the immune response in triple-negative breast cancer. Nature Communications. 12(1). 2672–2672. 127 indexed citations
5.
Mai, Jia, Xiao-Dan Peng, Jun Tang, et al.. (2021). AKT-mediated regulation of chromatin ubiquitylation and tumorigenesis through Mel18 phosphorylation. Oncogene. 40(13). 2422–2436. 9 indexed citations
6.
Deng, Rong, Junhao Huang, Yan Wang, et al.. (2020). Disruption of super-enhancer-driven tumor suppressor gene RCAN1.4 expression promotes the malignancy of breast carcinoma. Molecular Cancer. 19(1). 122–122. 48 indexed citations
7.
Li, Zhi‐Ling, Hai‐Liang Zhang, Yun Huang, et al.. (2020). Autophagy deficiency promotes triple-negative breast cancer resistance to T cell-mediated cytotoxicity by blocking tenascin-C degradation. Nature Communications. 11(1). 3806–3806. 136 indexed citations
8.
Deng, Rong, Hai‐Liang Zhang, Junhao Huang, et al.. (2020). MAPK1/3 kinase-dependent ULK1 degradation attenuates mitophagy and promotes breast cancer bone metastasis. Autophagy. 17(10). 3011–3029. 147 indexed citations
9.
Cheng, Xiaoqing, Hao Yuan, Mengjie Zhao, et al.. (2017). Cell cycle-dependent degradation of the methyltransferase SETD3 attenuates cell proliferation and liver tumorigenesis. Journal of Biological Chemistry. 292(22). 9022–9033. 43 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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