Sipei Nie

1.1k total citations
29 papers, 652 citations indexed

About

Sipei Nie is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sipei Nie has authored 29 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Sipei Nie's work include Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (6 papers) and MicroRNA in disease regulation (5 papers). Sipei Nie is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (6 papers) and MicroRNA in disease regulation (5 papers). Sipei Nie collaborates with scholars based in China, United States and Japan. Sipei Nie's co-authors include Jinhui Liu, Jing Yang, Yicong Wan, Wenjun Cheng, Huangyang Meng, Rui Sun, Yi Jiang, Wenjun Cheng, Siyue Li and Lin Zhang and has published in prestigious journals such as Life Sciences, Journal of Cellular Physiology and Journal of Cellular Biochemistry.

In The Last Decade

Sipei Nie

28 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sipei Nie China 13 463 357 149 94 46 29 652
Kumi Takasawa Japan 14 269 0.6× 121 0.3× 77 0.5× 125 1.3× 64 1.4× 37 570
Chen Luo China 15 319 0.7× 202 0.6× 97 0.7× 103 1.1× 18 0.4× 39 553
Timo Wittenberger Germany 11 401 0.9× 188 0.5× 49 0.3× 85 0.9× 29 0.6× 12 552
Jing Peng China 12 262 0.6× 198 0.6× 118 0.8× 52 0.6× 19 0.4× 34 462
Maohui Feng China 14 343 0.7× 210 0.6× 98 0.7× 150 1.6× 25 0.5× 54 605
Leanne Li United States 7 341 0.7× 212 0.6× 94 0.6× 140 1.5× 18 0.4× 10 580
Fangcheng Li China 12 397 0.9× 291 0.8× 51 0.3× 77 0.8× 39 0.8× 31 578
Valentina Dall’Olio Italy 5 344 0.7× 273 0.8× 63 0.4× 58 0.6× 39 0.8× 8 477

Countries citing papers authored by Sipei Nie

Since Specialization
Citations

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

Fields of papers citing papers by Sipei Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sipei Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Sipei Nie. A scholar is included among the top collaborators of Sipei Nie 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 Sipei Nie. Sipei Nie 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.
Ling, Ling, et al.. (2025). A combined proteomic and metabolomic analysis of the early aborted embryonic tissues with maternal COVID-19 infection. Journal of Proteomics. 313. 105383–105383. 1 indexed citations
2.
Xiang, Xun, Peng Chen, Dong Cao, et al.. (2024). Whole genome sequencing reveals that five genes are related to BW trait in sheep. animal. 18(9). 101282–101282. 1 indexed citations
3.
Bai, Xue, Min Gong, Ling Ling, et al.. (2023). circ_0000337 Promotes the Progression of Cervical Cancer by miR-155-5p/RAB3B Axis. Biochemical Genetics. 62(3). 2195–2209. 4 indexed citations
4.
Nie, Sipei, et al.. (2023). Development of a necroptosis-related gene signature and the immune landscape in ovarian cancer. Journal of Ovarian Research. 16(1). 82–82. 7 indexed citations
5.
Nie, Sipei, Lin Zhang, Jinhui Liu, et al.. (2021). ALKBH5-HOXA10 loop-mediated JAK2 m6A demethylation and cisplatin resistance in epithelial ovarian cancer. Journal of Experimental & Clinical Cancer Research. 40(1). 284–284. 107 indexed citations
6.
Liu, Jinhui, Yichun Wang, Jie Mei, Sipei Nie, & Yan Zhang. (2021). Identification of a Novel Immune Landscape Signature for Predicting Prognosis and Response of Endometrial Carcinoma to Immunotherapy and Chemotherapy. Frontiers in Cell and Developmental Biology. 9. 671736–671736. 8 indexed citations
7.
Liu, Jinhui, Jing Yang, Feng Gao, et al.. (2020). A microRNA–Messenger RNA Regulatory Network and Its Prognostic Value in Cervical Cancer. DNA and Cell Biology. 39(7). 1328–1346. 11 indexed citations
8.
Liu, Jinhui, Sipei Nie, Siyue Li, et al.. (2020). Methylation-driven genes and their prognostic value in cervical squamous cell carcinoma. Annals of Translational Medicine. 8(14). 868–868. 20 indexed citations
9.
Liu, Jinhui, Sipei Nie, Zhipeng Wu, et al.. (2020). Exploration of a novel prognostic risk signatures and immune checkpoint molecules in endometrial carcinoma microenvironment. Genomics. 112(5). 3117–3134. 31 indexed citations
10.
Meng, Huangyang, Jinhui Liu, Jiangnan Qiu, et al.. (2020). Identification of Key Genes in Association with Progression and Prognosis in Cervical Squamous Cell Carcinoma. DNA and Cell Biology. 39(5). 848–863. 17 indexed citations
11.
Liu, Jinhui, Huangyang Meng, Sipei Nie, et al.. (2020). Identification of a prognostic signature of epithelial ovarian cancer based on tumor immune microenvironment exploration. Genomics. 112(6). 4827–4841. 53 indexed citations
12.
Liu, Jinhui, Siyue Li, Feng Gao, et al.. (2020). Nine glycolysis-related gene signature predicting the survival of patients with endometrial adenocarcinoma. Cancer Cell International. 20(1). 183–183. 31 indexed citations
13.
Liu, Jinhui, Zhipeng Wu, Yichun Wang, et al.. (2020). A prognostic signature based on immune-related genes for cervical squamous cell carcinoma and endocervical adenocarcinoma. International Immunopharmacology. 88. 106884–106884. 19 indexed citations
14.
Liu, Jinhui, Siyue Li, Sipei Nie, et al.. (2020). Identification of molecular markers associated with the progression and prognosis of endometrial cancer: a bioinformatic study. Cancer Cell International. 20(1). 59–59. 18 indexed citations
15.
Liu, Jinhui, Zhipeng Wu, Rui Sun, et al.. (2020). Using mRNAsi to identify prognostic-related genes in endometrial carcinoma based on WGCNA. Life Sciences. 258. 118231–118231. 22 indexed citations
16.
Zhang, Lin, Yicong Wan, Zihan Zhang, et al.. (2020). IGF2BP1 overexpression stabilizes PEG10 mRNA in an m6A-dependent manner and promotes endometrial cancer progression. Theranostics. 11(3). 1100–1114. 148 indexed citations
17.
Meng, Huangyang, Siyue Li, Sipei Nie, et al.. (2019). <p>Upregulated LINC00565 Accelerates Ovarian Cancer Progression By Targeting GAS6</p>. OncoTargets and Therapy. Volume 12. 10011–10022. 16 indexed citations
18.
Huang, Huang, Sipei Nie, Min Cao, et al.. (2016). Characterization of AD-like phenotype in aged APPSwe/PS1dE9 mice. AGE. 38(4). 303–322. 62 indexed citations
19.
Xia, Yang, HengAn Wu, Sipei Nie, et al.. (2008). A new type of double-layered osmotic pump controlled release tablets of bezafibrate with poor water solubility and large dosage. Journal of Drug Delivery Science and Technology. 18(4). 273–277. 4 indexed citations
20.
Nie, Sipei, et al.. (1996). [Effects of processing on specific toxicity and pharmacodynamics of radix Kansui, radix Achyranthis bidentatae and semen Armeniacae amarum].. PubMed. 21(3). 153–6, 190. 1 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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