Weijuan Pan

1.2k total citations
20 papers, 852 citations indexed

About

Weijuan Pan is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Weijuan Pan has authored 20 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Weijuan Pan's work include Ubiquitin and proteasome pathways (7 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer-related gene regulation (3 papers). Weijuan Pan is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer-related gene regulation (3 papers). Weijuan Pan collaborates with scholars based in China, United States and Russia. Weijuan Pan's co-authors include Jiali Jin, Xin Ge, Cong Jiang, Xinbo Wang, Hongshang Chu, Yu Li, Lujian Liao, Ping Wang, Lu Deng and Hongqi Teng and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Weijuan Pan

20 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weijuan Pan China 15 679 181 142 126 121 20 852
Yin Guo United States 4 506 0.7× 122 0.7× 147 1.0× 199 1.6× 112 0.9× 6 723
Katelyn O’Neill United States 11 560 0.8× 137 0.8× 109 0.8× 162 1.3× 113 0.9× 15 813
Huadong Pei China 16 910 1.3× 182 1.0× 99 0.7× 75 0.6× 64 0.5× 23 1.0k
Caroline Cheung Japan 18 462 0.7× 158 0.9× 144 1.0× 186 1.5× 138 1.1× 27 877
Mathieu Lajoie Canada 14 399 0.6× 158 0.9× 139 1.0× 96 0.8× 138 1.1× 24 712
Biswajit Das India 15 298 0.4× 134 0.7× 84 0.6× 113 0.9× 105 0.9× 36 631
Yann Estornes France 13 444 0.7× 165 0.9× 103 0.7× 364 2.9× 91 0.8× 18 794
Veronika Jesenberger Austria 5 551 0.8× 139 0.8× 57 0.4× 110 0.9× 70 0.6× 5 715
Kazuya Okada Japan 14 905 1.3× 253 1.4× 85 0.6× 209 1.7× 115 1.0× 55 1.3k
Diana Saleiro United States 16 362 0.5× 238 1.3× 76 0.5× 306 2.4× 108 0.9× 30 813

Countries citing papers authored by Weijuan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Weijuan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijuan Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Weijuan Pan. A scholar is included among the top collaborators of Weijuan Pan 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 Weijuan Pan. Weijuan Pan 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.
2.
Pan, Weijuan, Peng Zhou, Y. K. Fetisov, et al.. (2024). Large room temperature magnetoelectric response in quasi 1–2 nanocomposite films on mica substrate. Journal of the American Ceramic Society. 107(7). 4902–4913. 2 indexed citations
3.
Pan, Weijuan, Peng Zhou, L. Y. Fetisov, et al.. (2023). A Flexible Magnetic Field Sensor Based on PZT/CFO Bilayer via van der Waals Oxide Heteroepitaxy. Sensors. 23(22). 9147–9147. 2 indexed citations
4.
Jiang, Cong, Jing Liu, Shaohui He, et al.. (2023). PRMT1 orchestrates with SAMTOR to govern mTORC1 methionine sensing via Arg-methylation of NPRL2. Cell Metabolism. 35(12). 2183–2199.e7. 16 indexed citations
5.
Jiang, Cong, Xiaoming Dai, Shaohui He, et al.. (2022). Ring domains are essential for GATOR2-dependent mTORC1 activation. Molecular Cell. 83(1). 74–89.e9. 18 indexed citations
6.
Song, Yu, Ke Zhao, Weijuan Pan, et al.. (2022). A Novel Ig Domain–Containing C-Type Lectin Triggers the Intestine–Hemocyte Axis to Regulate Antibacterial Immunity in Crab. The Journal of Immunology. 208(10). 2343–2362. 21 indexed citations
7.
Chen, Xiu, et al.. (2021). Paricalcitol in hemodialysis patients with secondary hyperparathyroidism and its potential benefits. World Journal of Clinical Cases. 9(33). 10172–10179. 1 indexed citations
8.
Pan, Weijuan & Guohua Zhang. (2019). Linalool monoterpene exerts potent antitumor effects in OECM 1 human oral cancer cells by inducing sub-G1 cell cycle arrest, loss of mitochondrial membrane potential and inhibition of PI3K/AKT biochemical pathway.. PubMed. 24(1). 323–328. 25 indexed citations
9.
Deng, Lu, Lei Chen, Linlin Zhao, et al.. (2018). Ubiquitination of Rheb governs growth factor-induced mTORC1 activation. Cell Research. 29(2). 136–150. 96 indexed citations
10.
Wang, Xinbo, Jiali Jin, Fangning Wan, et al.. (2018). AMPK Promotes SPOP-Mediated NANOG Degradation to Regulate Prostate Cancer Cell Stemness. Developmental Cell. 48(3). 345–360.e7. 68 indexed citations
11.
Zhao, Linlin, Xinbo Wang, Yue Yu, et al.. (2018). OTUB1 protein suppresses mTOR complex 1 (mTORC1) activity by deubiquitinating the mTORC1 inhibitor DEPTOR. Journal of Biological Chemistry. 293(13). 4883–4892. 50 indexed citations
12.
Chen, Yunfei, Jiali Jin, Yi Luan, et al.. (2017). p38 inhibition provides anti–DNA virus immunity by regulation of USP21 phosphorylation and STING activation. The Journal of Experimental Medicine. 214(4). 991–1010. 85 indexed citations
13.
Yu, Su, Feng Wang, Xiao Tan, et al.. (2017). FBW7 targets KLF10 for ubiquitin-dependent degradation. Biochemical and Biophysical Research Communications. 495(2). 2092–2097. 7 indexed citations
14.
Xiao, Ning, Weijuan Pan, Dongming Liu, et al.. (2017). Smurf1 regulates lung cancer cell growth and migration through interaction with and ubiquitination of PIPKIγ. Oncogene. 36(41). 5668–5680. 34 indexed citations
15.
Jin, Jiali, Jian Liu, Zhenping Liu, et al.. (2016). The deubiquitinase USP21 maintains the stemness of mouse embryonic stem cells via stabilization of Nanog. Nature Communications. 7(1). 13594–13594. 77 indexed citations
16.
Li, Yu, et al.. (2015). Type 2 diabetes mellitus and risk of oral cancer and precancerous lesions: A meta-analysis of observational studies. Oral Oncology. 51(4). 332–340. 66 indexed citations
17.
Deng, Lu, Cong Jiang, Lei Chen, et al.. (2015). The Ubiquitination of RagA GTPase by RNF152 Negatively Regulates mTORC1 Activation. Molecular Cell. 58(5). 804–818. 96 indexed citations
18.
Liao, Peng, et al.. (2014). A positive feedback loop between EBP2 and c-Myc regulates rDNA transcription, cell proliferation, and tumorigenesis. Cell Death and Disease. 5(1). e1032–e1032. 30 indexed citations
19.
Pan, Ji‐An, Qi Deng, Cong Jiang, et al.. (2014). USP37 directly deubiquitinates and stabilizes c-Myc in lung cancer. Oncogene. 34(30). 3957–3967. 124 indexed citations
20.
Jiang, Cong, Ji‐An Pan, Jianping Jin, et al.. (2014). Regulation of c-Myc protein stability by proteasome activator REGγ. Cell Death and Differentiation. 22(6). 1000–1011. 33 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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