Xiangpeng Dai

3.7k total citations · 1 hit paper
29 papers, 2.2k citations indexed

About

Xiangpeng Dai is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Xiangpeng Dai has authored 29 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cell Biology. Recurrent topics in Xiangpeng Dai's work include Ubiquitin and proteasome pathways (15 papers), Histone Deacetylase Inhibitors Research (6 papers) and Cancer-related Molecular Pathways (6 papers). Xiangpeng Dai is often cited by papers focused on Ubiquitin and proteasome pathways (15 papers), Histone Deacetylase Inhibitors Research (6 papers) and Cancer-related Molecular Pathways (6 papers). Xiangpeng Dai collaborates with scholars based in United States, China and Taiwan. Xiangpeng Dai's co-authors include Wenyi Wei, Jianping Guo, Jinfang Zhang, Lixin Wan, Fei Wu, Brian J. North, Yuyong Tan, Yanpeng Ci, Hiroyuki Inuzuka and Piotr Siciński and has published in prestigious journals such as Nature, Nature Communications and Molecular Cell.

In The Last Decade

Xiangpeng Dai

29 papers receiving 2.2k citations

Hit Papers

Cyclin D–CDK4 kinase destabilizes PD-L1 via cullin 3–SPOP... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangpeng Dai United States 20 1.5k 838 404 361 329 29 2.2k
Yoshimi Arima Japan 27 1.2k 0.8× 906 1.1× 291 0.7× 396 1.1× 239 0.7× 46 2.0k
Yoon Jong Choi United States 11 1.3k 0.8× 813 1.0× 449 1.1× 240 0.7× 145 0.4× 19 1.9k
Carlotta Costa United States 19 1.2k 0.8× 669 0.8× 430 1.1× 188 0.5× 212 0.6× 28 1.9k
Sandy Giuliano France 23 1.4k 0.9× 656 0.8× 190 0.5× 554 1.5× 335 1.0× 29 2.1k
Agnieszka Zagożdżon United States 12 1.3k 0.9× 889 1.1× 317 0.8× 248 0.7× 141 0.4× 21 1.9k
Eriko Katsuta United States 24 773 0.5× 695 0.8× 403 1.0× 501 1.4× 372 1.1× 82 1.6k
Alexander Valent France 18 962 0.6× 659 0.8× 294 0.7× 572 1.6× 271 0.8× 41 1.9k
Yoshinobu Toda Japan 26 1.2k 0.8× 496 0.6× 287 0.7× 440 1.2× 160 0.5× 50 2.0k
David I. Bellovin United States 16 991 0.7× 553 0.7× 190 0.5× 448 1.2× 164 0.5× 30 1.8k
Peter Horak Germany 20 1.2k 0.8× 457 0.5× 242 0.6× 590 1.6× 235 0.7× 68 1.9k

Countries citing papers authored by Xiangpeng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiangpeng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangpeng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangpeng Dai. A scholar is included among the top collaborators of Xiangpeng Dai 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 Xiangpeng Dai. Xiangpeng Dai 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.
Dai, Xiangpeng, Xiaoling Zhang, Qing Yin, et al.. (2022). Acetylation-dependent regulation of BRAF oncogenic function. Cell Reports. 38(3). 110250–110250. 13 indexed citations
2.
Shi, Le, Jing Liu, Jing Liu, et al.. (2020). Deubiquitinase OTUD6A promotes proliferation of cancer cells via regulating Drp1 stability and mitochondrial fission. Molecular Oncology. 14(12). 3169–3183. 36 indexed citations
3.
Liu, Jing, Yunhua Peng, Le Shi, et al.. (2020). Skp2 dictates cell cycle-dependent metabolic oscillation between glycolysis and TCA cycle. Cell Research. 31(1). 80–93. 76 indexed citations
4.
Guo, Jianping, Xiangpeng Dai, Benoît Laurent, et al.. (2019). AKT methylation by SETDB1 promotes AKT kinase activity and oncogenic functions. Nature Cell Biology. 21(2). 226–237. 114 indexed citations
5.
Cheng, Ji, Brian J. North, Tao Zhang, et al.. (2018). The emerging roles of protein homeostasis‐governing pathways in Alzheimer's disease. Aging Cell. 17(5). e12801–e12801. 81 indexed citations
6.
Zhang, Jinfang, Xia Bu, Haizhen Wang, et al.. (2017). Cyclin D–CDK4 kinase destabilizes PD-L1 via cullin 3–SPOP to control cancer immune surveillance. Nature. 553(7686). 91–95. 736 indexed citations breakdown →
7.
Zhang, Linli, Shan Peng, Xiangpeng Dai, et al.. (2017). Tumor suppressor SPOP ubiquitinates and degrades EglN2 to compromise growth of prostate cancer cells. Cancer Letters. 390. 11–20. 37 indexed citations
8.
Wang, Bin, Zuliang Jie, Donghyun Joo, et al.. (2017). TRAF2 and OTUD7B govern a ubiquitin-dependent switch that regulates mTORC2 signalling. Nature. 545(7654). 365–369. 149 indexed citations
9.
Cui, Wei, Xiangpeng Dai, Chelsea Marcho, et al.. (2016). Towards Functional Annotation of the Preimplantation Transcriptome: An RNAi Screen in Mammalian Embryos. Scientific Reports. 6(1). 37396–37396. 30 indexed citations
10.
Wu, Fei, Xiangpeng Dai, Wenjian Gan, et al.. (2016). Prostate cancer-associated mutation in SPOP impairs its ability to target Cdc20 for poly-ubiquitination and degradation. Cancer Letters. 385. 207–214. 42 indexed citations
11.
Li, Xiaoning, Xiangpeng Dai, Lixin Wan, et al.. (2016). Smurf1 regulation of DAB2IP controls cell proliferation and migration. Oncotarget. 7(18). 26057–26069. 26 indexed citations
12.
Gan, Wenjian, Xiangpeng Dai, Andrea Lunardi, et al.. (2015). SPOP Promotes Ubiquitination and Degradation of the ERG Oncoprotein to Suppress Prostate Cancer Progression. PMC. 1 indexed citations
13.
Wang, Zhiwei, Xiangpeng Dai, Jiateng Zhong, et al.. (2015). SCFβ-TRCP promotes cell growth by targeting PR-Set7/Set8 for degradation. Nature Communications. 6(1). 10185–10185. 36 indexed citations
14.
Gan, Wenjian, Xiangpeng Dai, Andrea Lunardi, et al.. (2015). SPOP Promotes Ubiquitination and Degradation of the ERG Oncoprotein to Suppress Prostate Cancer Progression. Molecular Cell. 59(6). 917–930. 153 indexed citations
15.
Dai, Xiangpeng, Pengda Liu, Alan W. Lau, Yueyong Liu, & Hiroyuki Inuzuka. (2014). Acetylation‐dependent regulation of essential iPS‐inducing factors: a regulatory crossroad for pluripotency and tumorigenesis. Cancer Medicine. 3(5). 1211–1224. 19 indexed citations
16.
Liu, Jia, Shavali Shaik, Xiangpeng Dai, et al.. (2014). Targeting the ubiquitin pathway for cancer treatment. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1855(1). 50–60. 133 indexed citations
17.
Zhang, Jinfang, Lixin Wan, Xiangpeng Dai, Yi Sun, & Wenyi Wei. (2014). Functional characterization of Anaphase Promoting Complex/Cyclosome (APC/C) E3 ubiquitin ligases in tumorigenesis. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1845(2). 277–293. 83 indexed citations
18.
Cao, Juxiang, Lixin Wan, Elke Hacker, et al.. (2013). MC1R Is a Potent Regulator of PTEN after UV Exposure in Melanocytes. Molecular Cell. 51(4). 409–422. 117 indexed citations
19.
Maserati, Marc Peter, et al.. (2012). Identification of four genes required for mammalian blastocyst formation. Zygote. 22(3). 331–339. 10 indexed citations
20.
Zhang, Kun, Xiangpeng Dai, Mary C. Wallingford, & Jesse Mager. (2012). Depletion of Suds3 reveals an essential role in early lineage specification. Developmental Biology. 373(2). 359–372. 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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