Wei Ni

4.1k total citations
171 papers, 3.0k citations indexed

About

Wei Ni is a scholar working on Molecular Biology, Plant Science and Biomaterials. According to data from OpenAlex, Wei Ni has authored 171 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 32 papers in Plant Science and 30 papers in Biomaterials. Recurrent topics in Wei Ni's work include Natural product bioactivities and synthesis (44 papers), Phytochemical Studies and Bioactivities (41 papers) and Phytochemistry and Bioactive Compounds (30 papers). Wei Ni is often cited by papers focused on Natural product bioactivities and synthesis (44 papers), Phytochemical Studies and Bioactivities (41 papers) and Phytochemistry and Bioactive Compounds (30 papers). Wei Ni collaborates with scholars based in China, United States and Pakistan. Wei Ni's co-authors include Hai‐Yang Liu, Chang‐Xiang Chen, Xu‐Jie Qin, Huan Yan, Li He, Denis J. Glenn, David G. Gardner, Songcang Chen, Yan Hua and Fei Mao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Wei Ni

164 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Ni China 28 1.5k 541 357 278 241 171 3.0k
Sun Young Kim South Korea 38 3.0k 2.0× 749 1.4× 79 0.2× 474 1.7× 199 0.8× 200 5.2k
Shufeng Zhou China 34 2.3k 1.5× 267 0.5× 118 0.3× 162 0.6× 819 3.4× 112 5.2k
Wen‐Bin Yang Taiwan 40 2.4k 1.6× 536 1.0× 55 0.2× 152 0.5× 585 2.4× 161 4.8k
Yue Chen China 36 2.8k 1.9× 310 0.6× 237 0.7× 131 0.5× 421 1.7× 217 5.0k
Di Wang China 35 2.8k 1.9× 416 0.8× 63 0.2× 204 0.7× 224 0.9× 221 4.8k
Lin Zhao China 36 2.1k 1.4× 191 0.4× 102 0.3× 175 0.6× 112 0.5× 168 4.7k
Isaac Cohen United States 33 1.2k 0.8× 304 0.6× 84 0.2× 245 0.9× 377 1.6× 129 3.5k
Maria Marino Italy 32 2.1k 1.4× 122 0.2× 126 0.4× 224 0.8× 163 0.7× 65 4.2k
Zhen Yang China 29 1.2k 0.8× 221 0.4× 113 0.3× 206 0.7× 217 0.9× 118 2.6k
Xiaolin Zhang China 29 1.9k 1.3× 127 0.2× 87 0.2× 164 0.6× 273 1.1× 183 3.5k

Countries citing papers authored by Wei Ni

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Ni. A scholar is included among the top collaborators of Wei 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 Wei Ni. Wei 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.
Xing, Yue, Xin Zhang, Wei Ni, et al.. (2024). Optimizing ‘Red Fuji’ apple quality: Auxin-mediated calcium distribution via fruit-stalk in bagging practices. Food Chemistry. 463(Pt 2). 141126–141126. 3 indexed citations
2.
Ni, Wei, Basudev Chowdhury, Ilene Galinsky, et al.. (2024). Salinomycin Nanoparticles Induce Ferroptosis and Synergize with the BCL-2 Inhibitor Venetoclax to Promote AML Cell Death. Blood. 144(Supplement 1). 5820–5820.
3.
Ni, Wei, et al.. (2024). Three new dammarane-type triterpenoid saponins and their cytotoxicity from steamed Panax notoginseng. Phytochemistry Letters. 62. 1–5. 3 indexed citations
4.
Garg, Swati, Wei Ni, Basudev Chowdhury, et al.. (2024). BRD9 regulates normal human hematopoietic stem cell function and lineage differentiation. Cell Death and Differentiation. 31(7). 868–880. 2 indexed citations
5.
Chowdhury, Basudev, Swati Garg, Wei Ni, et al.. (2024). Synergy between BRD9- and IKZF3-Targeting as a Therapeutic Strategy for Multiple Myeloma. Cancers. 16(7). 1319–1319. 2 indexed citations
6.
Liu, Chunling, Guangjin Zhou, Tianyu Wang, et al.. (2023). Metabolomics combined with physiology and transcriptomics reveal key metabolic pathway responses in apple plants exposure to different selenium concentrations. Journal of Hazardous Materials. 464. 132953–132953. 48 indexed citations
7.
Xu, Xinxiang, Wei Ni, Chunling Liu, et al.. (2023). Nitrogen–potassium balance improves leaf photosynthetic capacity by regulating leaf nitrogen allocation in apple. Horticulture Research. 11(1). uhad253–uhad253. 16 indexed citations
8.
Ni, Wei, Murugan Ramalingam, Yumeng Li, et al.. (2023). Immunomodulatory and Anti-inflammatory effect of Neural Stem/Progenitor Cells in the Central Nervous System. Stem Cell Reviews and Reports. 19(4). 866–885. 12 indexed citations
9.
Garg, Swati, Wei Ni, James D. Griffin, & Martin Sattler. (2023). Chimeric Antigen Receptor T Cell Therapy in Acute Myeloid Leukemia: Trials and Tribulations. SHILAP Revista de lepidopterología. 15(4). 608–626. 4 indexed citations
10.
11.
Tang, Bin, et al.. (2021). Peroxiredoxin 6 secreted by Schwann-like cells protects neuron against ischemic stroke in rats via PTEN/PI3K/AKT pathway. Tissue and Cell. 73. 101635–101635. 12 indexed citations
12.
Duong, Vicky, Manuela L. Ferreira, Carolina Gassen Fritsch, et al.. (2021). Measuring adherence to unsupervised, conservative treatment for knee osteoarthritis: A systematic review. SHILAP Revista de lepidopterología. 3(2). 100171–100171. 11 indexed citations
13.
Chen, Zirong, Wei Ni, Jian‐Liang Li, et al.. (2021). The CRTC1-MAML2 fusion is the major oncogenic driver in mucoepidermoid carcinoma. JCI Insight. 6(7). 43 indexed citations
14.
Yu, Jiahong, Kai Ye, Jing Li, et al.. (2021). Schwann-like cell conditioned medium promotes angiogenesis and nerve regeneration. Cell and Tissue Banking. 23(1). 101–118. 12 indexed citations
15.
Ni, Wei, Zirong Chen, Xin Zhou, et al.. (2021). Targeting Notch and EGFR signaling in human mucoepidermoid carcinoma. Signal Transduction and Targeted Therapy. 6(1). 27–27. 14 indexed citations
16.
Chen, Mingqiu, Pingping Liu, Zhiwei Chen, et al.. (2019). <p>Primary tumor regression patterns in esophageal squamous cell cancer treated with definitive chemoradiotherapy and implications for surveillance schemes</p>. Cancer Management and Research. Volume 11. 3361–3369. 5 indexed citations
17.
Chen, Zirong, Shuibin Lin, Jian‐Liang Li, et al.. (2018). CRTC1-MAML2 fusion-induced lncRNA LINC00473 expression maintains the growth and survival of human mucoepidermoid carcinoma cells. Oncogene. 37(14). 1885–1895. 39 indexed citations
18.
Plaks, Vicki, Julie L. Rinkenberger, Joanne Dai, et al.. (2013). Matrix metalloproteinase-9 deficiency phenocopies features of preeclampsia and intrauterine growth restriction. Proceedings of the National Academy of Sciences. 110(27). 11109–11114. 138 indexed citations
19.
Ni, Wei, et al.. (2004). [Determination of acteoside in Mitonghua particles and Brandisia hancei by high performance liquid chromatography].. PubMed. 22(3). 260–2. 1 indexed citations
20.
Ni, Wei, et al.. (2003). Two New Tirucallane-Type Triterpenoid Saponins from Sapindus mukorossi. Journal of Integrative Plant Biology. 45(3). 369–372. 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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