Beibei Ni

1.0k total citations
33 papers, 740 citations indexed

About

Beibei Ni is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Beibei Ni has authored 33 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Beibei Ni's work include RNA Interference and Gene Delivery (3 papers), Cancer Cells and Metastasis (3 papers) and Gut microbiota and health (3 papers). Beibei Ni is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), Cancer Cells and Metastasis (3 papers) and Gut microbiota and health (3 papers). Beibei Ni collaborates with scholars based in China, Pakistan and United States. Beibei Ni's co-authors include Dianke Chen, Zihuan Yang, Zixu Yuan, Fan Yang, Lijie Pan, Xinjuan Fan, Jingjing Li, Xiangsheng Cai, Hong Sang and Huiying Chen and has published in prestigious journals such as Biomaterials, Journal of Controlled Release and Advanced Science.

In The Last Decade

Beibei Ni

32 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beibei Ni China 15 480 186 133 104 72 33 740
Jiazhang Wei China 14 324 0.7× 194 1.0× 126 0.9× 94 0.9× 47 0.7× 46 606
Liwei Lang United States 20 564 1.2× 202 1.1× 173 1.3× 120 1.2× 54 0.8× 52 940
Gang Shi China 16 433 0.9× 275 1.5× 162 1.2× 245 2.4× 75 1.0× 43 816
Jiayun Hou China 15 301 0.6× 120 0.6× 112 0.8× 97 0.9× 53 0.7× 29 589
Xuli Meng China 14 489 1.0× 220 1.2× 257 1.9× 128 1.2× 87 1.2× 43 792
Maryam Moradi Binabaj Iran 14 314 0.7× 177 1.0× 113 0.8× 67 0.6× 35 0.5× 30 655
Yun Zhu China 22 680 1.4× 336 1.8× 182 1.4× 140 1.3× 38 0.5× 43 1.1k
Yongjian Gao China 16 406 0.8× 287 1.5× 72 0.5× 48 0.5× 51 0.7× 39 685

Countries citing papers authored by Beibei Ni

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Beibei Ni. A scholar is included among the top collaborators of Beibei Ni 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 Beibei Ni. Beibei Ni 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.
Yang, Fan, Beibei Ni, Chao Yuan, et al.. (2025). Mesenchymal stromal cell-derived extracellular vesicles as nanotherapeutics for concanavalin a-induced hepatitis: modulating the gut‒liver axis. Stem Cell Research & Therapy. 16(1). 4–4. 3 indexed citations
2.
Ni, Beibei, Li Shi, Lan Zhao, et al.. (2025). Novel glycoprotein SBSPON suppressed bladder cancer through the AKT signal pathway by inhibiting HSPA5 membrane translocation. International Journal of Biological Sciences. 21(10). 4586–4603.
3.
Gong, Yihang, Yusheng Cheng, Fanxin Zeng, et al.. (2024). A self-gelling hemostatic powder boosting radiotherapy-elicited NK cell immunity to combat postoperative hepatocellular carcinoma relapse. Biomaterials. 317. 123068–123068. 7 indexed citations
4.
Liu, Xueli, et al.. (2024). Long-term stability and immunogenicity of lipid nanoparticle COVID-19 mRNA vaccine is affected by particle size. Human Vaccines & Immunotherapeutics. 20(1). 2342592–2342592. 17 indexed citations
5.
Yan, Yan, Chan Li, Beibei Ni, et al.. (2023). A preparation method for mRNA-LNPs with improved properties. Journal of Controlled Release. 364. 632–643. 35 indexed citations
6.
Yang, Fan, et al.. (2023). Key genes associated with non-alcoholic fatty liver disease and hepatocellular carcinoma with metabolic risk factors. Frontiers in Genetics. 14. 1066410–1066410. 8 indexed citations
7.
Ni, Beibei, et al.. (2023). The role of β-catenin in cardiac diseases. Frontiers in Pharmacology. 14. 1157043–1157043. 20 indexed citations
8.
Ni, Beibei, et al.. (2023). The role of cannabidiol in aging. Biomedicine & Pharmacotherapy. 165. 115074–115074. 14 indexed citations
9.
Yang, Fan, Xiaofang Zheng, Weicheng Liang, et al.. (2023). Short-Term Clinical Response and Changes in the Fecal Microbiota and Metabolite Levels in Patients with Crohn’s Disease After Stem Cell Infusions. Stem Cells Translational Medicine. 12(8). 497–509. 3 indexed citations
11.
Gong, Yihang, Wen-Jie Chen, Xiuxing Chen, et al.. (2022). An Injectable Epigenetic Autophagic Modulatory Hydrogel for Boosting Umbilical Cord Blood NK Cell Therapy Prevents Postsurgical Relapse of Triple‐Negative Breast Cancer. Advanced Science. 9(23). e2201271–e2201271. 42 indexed citations
12.
Yang, Fan, et al.. (2022). MUTYH is a potential prognostic biomarker and correlates with immune infiltrates in hepatocellular carcinoma. Liver Research. 6(4). 258–268. 4 indexed citations
13.
Yang, Fan, Beibei Ni, Qiuli Liu, et al.. (2022). Human umbilical cord-derived mesenchymal stem cells ameliorate experimental colitis by normalizing the gut microbiota. Stem Cell Research & Therapy. 13(1). 475–475. 26 indexed citations
14.
Guo, Qie, et al.. (2020). CD13: A Key Player in Multidrug Resistance in Cancer Chemotherapy. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 28(5). 533–540. 12 indexed citations
15.
Liu, Fang, Jingjing Li, Huiying Chen, et al.. (2019). Dysbiosis of the Gut Microbiome is associated with Tumor Biomarkers in Lung Cancer. International Journal of Biological Sciences. 15(11). 2381–2392. 149 indexed citations
16.
Ni, Beibei, Xiaoyan Guo, Xinjuan Fan, et al.. (2015). Increased urothelial cancer associated 1 is associated with tumor proliferation and metastasis and predicts poor prognosis in colorectal cancer. International Journal of Oncology. 47(4). 1329–1338. 70 indexed citations
17.
Yang, Zuli, Hao Chen, Lijun Huo, et al.. (2014). Epigenetic Inactivation and Tumor-Suppressor Behavior of NGFR in Human Colorectal Cancer. Molecular Cancer Research. 13(1). 107–119. 25 indexed citations
18.
Chen, Dianke, Tenghui Ma, Yanxin Luo, et al.. (2014). Molecular Mechanism of Acute Radiation Enteritis Revealed Using Proteomics and Biological Signaling Network Analysis in Rats. Digestive Diseases and Sciences. 59(11). 2704–2713. 17 indexed citations
19.
Yang, Zuli, Lijun Huo, Hao Chen, et al.. (2013). Hypermethylation and prognostic implication of Syk gene in human colorectal cancer. Medical Oncology. 30(2). 586–586. 21 indexed citations
20.
Chen, Wei, Jun Xiang, Defeng Chen, et al.. (2013). Screening for differentially methylated genes among human colorectal cancer tissues and normal mucosa by microarray chip. Molecular Biology Reports. 40(5). 3457–3464. 11 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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