Donglai Wang

1.2k total citations
30 papers, 956 citations indexed

About

Donglai Wang is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Donglai Wang has authored 30 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in Donglai Wang's work include Epigenetics and DNA Methylation (10 papers), Ubiquitin and proteasome pathways (8 papers) and Cancer-related Molecular Pathways (7 papers). Donglai Wang is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Ubiquitin and proteasome pathways (8 papers) and Cancer-related Molecular Pathways (7 papers). Donglai Wang collaborates with scholars based in China, United States and Ethiopia. Donglai Wang's co-authors include Wei‐Guo Zhu, Wei Gu, Ying Zhao, Lina Wang, Ning Kon, Haiying Wang, Le Jiang, Xiangyu Liu, Jingyi Zhou and Wenchuan Leng and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Donglai Wang

28 papers receiving 949 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donglai Wang China	14	719	233	206	149	86	30	956
Ruorong Yan China	8	586 0.8×	133 0.6×	149 0.7×	165 1.1×	180 2.1×	10	786
Jiangxue Wu China	19	777 1.1×	108 0.5×	251 1.2×	429 2.9×	86 1.0×	34	1.1k
Anya Alayev United States	12	378 0.5×	123 0.5×	127 0.6×	94 0.6×	116 1.3×	17	627
Ray-Whay Chiu Yen United States	6	701 1.0×	173 0.7×	174 0.8×	100 0.7×	297 3.5×	7	995
Qiqiang Guo China	15	399 0.6×	115 0.5×	140 0.7×	121 0.8×	48 0.6×	31	637
James R. Knabb United States	5	414 0.6×	234 1.0×	156 0.8×	227 1.5×	29 0.3×	5	656
Yu Geng China	16	386 0.5×	107 0.5×	113 0.5×	130 0.9×	49 0.6×	20	684
Yan Mo China	8	341 0.5×	98 0.4×	168 0.8×	197 1.3×	112 1.3×	12	583
Yanying Huo United States	14	767 1.1×	117 0.5×	224 1.1×	163 1.1×	17 0.2×	27	946
Patrizia Damonte Italy	14	262 0.4×	145 0.6×	205 1.0×	84 0.6×	241 2.8×	22	703

Countries citing papers authored by Donglai Wang

Since Specialization

Citations

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

Fields of papers citing papers by Donglai Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donglai Wang

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

All Works

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20 of 20 papers shown

Liu, Jie, et al.. (2025). FOXA2 sensitizes endometrial carcinoma to progestin-mediated conservative therapy by triggering PR transcriptional activation. Oncogene. 44(43). 4145–4158.

Yan, Xiaojun, et al.. (2025). The oncoprotein SET promotes serine-derived one-carbon metabolism by regulating SHMT2 enzymatic activity. Proceedings of the National Academy of Sciences. 122(19). e2412854122–e2412854122. 2 indexed citations

Liu, Yajing, et al.. (2025). Establishment of a mouse lung cancer organoid model and its applications for therapeutic screening. Biological Procedures Online. 27(1). 21–21.

Liu, Yajing, et al.. (2024). USP7 interacts with and destabilizes oncoprotein SET. Biochemical and Biophysical Research Communications. 709. 149818–149818. 1 indexed citations

Yan, Xiaojun, et al.. (2024). Doxorubicin induces deglycosylation of cancer cell‐intrinsic PD‐1 by NGLY1. FEBS Letters. 598(12). 1543–1553. 1 indexed citations

Xu, Wenbin, et al.. (2024). Oncoprotein SET-associated transcription factor ZBTB11 triggers lung cancer metastasis. Nature Communications. 15(1). 1362–1362. 10 indexed citations

Zhang, Meng, et al.. (2023). The next decade of SET: from an oncoprotein to beyond. Journal of Molecular Cell Biology. 16(1). 6 indexed citations

Yi, Jingjie, Omid Tavana, Huan Li, et al.. (2023). Targeting USP2 regulation of VPRBP-mediated degradation of p53 and PD-L1 for cancer therapy. Nature Communications. 14(1). 1941–1941. 27 indexed citations

Yan, Xiaojun, et al.. (2023). Coupled deglycosylation-ubiquitination cascade in regulating PD-1 degradation by MDM2. Cell Reports. 42(7). 112693–112693. 15 indexed citations

10.

Zhang, Meng, et al.. (2023). Genome-wide CRISPR screening reveals ADCK3 as a key regulator in sensitizing endometrial carcinoma cells to MPA therapy. British Journal of Cancer. 129(4). 601–611. 7 indexed citations

11.

Wang, Donglai, et al.. (2022). Alternatively mechanistic insights into acetylation in p53-mediated transcriptional regulation of cancer cell-intrinsic PD-1. Fundamental Research. 3(4). 647–654. 3 indexed citations

12.

Xu, Wenbin, Yajing Liu, Mi Zhang, et al.. (2022). The repression of oncoprotein SET by the tumor suppressor p53 reveals a p53-SET-PP2A feedback loop for cancer therapy. Science China Life Sciences. 66(1). 81–93. 9 indexed citations

13.

Xu, Jingyi, Ming Chen, Yinghui Wu, et al.. (2020). The Role of Transcriptional Factor Brachyury on Cell Cycle Regulation in Non-small Cell Lung Cancer. Frontiers in Oncology. 10. 1078–1078. 5 indexed citations

14.

Kon, Ning, Donglai Wang, & Wei Gu. (2019). Loss of SET reveals both the p53-dependent and the p53-independent functions in vivo. Cell Death and Disease. 10(3). 237–237. 15 indexed citations

15.

Wang, Donglai, Ning Kon, Omid Tavana, & Wei Gu. (2017). The “readers” of unacetylated p53 represent a new class of acidic domain proteins. Nucleus. 8(4). 360–369. 13 indexed citations

16.

Wang, Donglai, Ning Kon, Gorka Lasso, et al.. (2016). Acetylation-regulated interaction between p53 and SET reveals a widespread regulatory mode. Nature. 538(7623). 118–122. 161 indexed citations

17.

Zhou, Jingyi, Wenjuan Liao, Jing Yang, et al.. (2012). FOXO3 induces FOXO1-dependent autophagy by activating the AKT1 signaling pathway. Autophagy. 8(12). 1712–1723. 148 indexed citations

18.

Liu, Xiangyu, Donglai Wang, Ying Zhao, et al.. (2011). Methyltransferase Set7/9 regulates p53 activity by interacting with Sirtuin 1 (SIRT1). Proceedings of the National Academy of Sciences. 108(5). 1925–1930. 114 indexed citations

19.

Wang, Donglai. (2007). Identification and Biological Characteristics of Colletotrichum Gloeosporioides on Strawberry. Shenyang Nongye Daxue xuebao. 3 indexed citations

20.

Guo, Junming, Bing Xiao, Y. Lou, et al.. (2006). The Effects of All-Trans-Retinoic Acid on Cell Cycle and Alkaline Phosphatase Activity in Pancreatic Cancer Cells. Medicinal Chemistry. 2(5). 457–461. 6 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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