Ning Deng

1.1k total citations
22 papers, 723 citations indexed

About

Ning Deng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ning Deng has authored 22 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Ning Deng's work include Fibroblast Growth Factor Research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and MicroRNA in disease regulation (4 papers). Ning Deng is often cited by papers focused on Fibroblast Growth Factor Research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and MicroRNA in disease regulation (4 papers). Ning Deng collaborates with scholars based in China, United States and Italy. Ning Deng's co-authors include Ronald J. Buckanovich, Shoumei Bai, Ligang Zhang, Yun‐Jung Choi, Laurie K. McCauley, Lourdes Cabrera, Kun Yang, Karen McLean, Kathleen R. Cho and Evan T. Keller and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Ning Deng

20 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Deng China 12 468 276 186 116 93 22 723
Sheri Nixdorf Australia 15 695 1.5× 182 0.7× 159 0.9× 53 0.5× 134 1.4× 20 914
Junsong Chen China 14 393 0.8× 270 1.0× 234 1.3× 34 0.3× 94 1.0× 23 689
Erdoğan Pekcan Erkan Finland 13 822 1.8× 136 0.5× 522 2.8× 52 0.4× 108 1.2× 21 988
Julia Bar Poland 13 207 0.4× 135 0.5× 77 0.4× 59 0.5× 48 0.5× 46 524
Praveena Thiagarajan United States 11 290 0.6× 241 0.9× 112 0.6× 47 0.4× 143 1.5× 17 597
Michael Timaner Israel 14 301 0.6× 359 1.3× 170 0.9× 106 0.9× 232 2.5× 20 758
Lin Meng China 20 517 1.1× 380 1.4× 180 1.0× 41 0.4× 209 2.2× 40 979
Marı́a L. Lamelas Spain 12 233 0.5× 319 1.2× 264 1.4× 56 0.5× 213 2.3× 16 751
Yen Phung United States 14 278 0.6× 258 0.9× 75 0.4× 212 1.8× 169 1.8× 15 966
Julien Balzeau United States 9 545 1.2× 223 0.8× 232 1.2× 36 0.3× 128 1.4× 12 803

Countries citing papers authored by Ning Deng

Since Specialization
Citations

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

Fields of papers citing papers by Ning Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Deng. A scholar is included among the top collaborators of Ning Deng 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 Ning Deng. Ning Deng 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.
Wu, Dan, et al.. (2025). A knowledge-based clinical decision support system for personalized health examination items in China: design and evaluation. BMC Medical Informatics and Decision Making. 25(1). 183–183.
3.
Karrar, Emad, Lingyu Zhang, Chaoxiang Chen, et al.. (2024). Preparation and identification of antioxidant peptides from Quasipaa spinosa skin through two-step enzymatic hydrolysis and molecular simulation. Food Chemistry. 445. 138801–138801. 25 indexed citations
4.
5.
Liu, Chunyan, et al.. (2022). Preparation of DSPE-PEG-cRGD Modified Cationic Liposomes for Delivery of OC-2 shRNA and The Antitumor Effects on Breast Cancer. Pharmaceutics. 14(10). 2157–2157. 14 indexed citations
6.
Chatterjee, Anwesha, et al.. (2021). Disabling the Nuclear Translocalization of RelA/NF-κB by a Small Molecule Inhibits Triple-Negative Breast Cancer Growth. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Deng, Ning, Jin Chen, Pengcheng Du, et al.. (2021). The crosstalk network of XIST/miR‐424‐5p/OGT mediates RAF1 glycosylation and participates in the progression of liver cancer. Liver International. 41(8). 1933–1944. 17 indexed citations
8.
Mo, Jie, Ning Deng, Qiumeng Liu, et al.. (2021). 18β-Glycyrrhetinic Acid Inhibits TGF-β-Induced Epithelial-to-Mesenchymal Transition and Metastasis of Hepatocellular Carcinoma by Targeting STAT3. The American Journal of Chinese Medicine. 50(1). 313–332. 11 indexed citations
9.
Wu, Binhua, et al.. (2020). miR-6086 inhibits ovarian cancer angiogenesis by downregulating the OC2/VEGFA/EGFL6 axis. Cell Death and Disease. 11(5). 345–345. 22 indexed citations
10.
Zhu, Wenhui, et al.. (2020). Knockout of EGFL6 by CRISPR/Cas9 Mediated Inhibition of Tumor Angiogenesis in Ovarian Cancer. Frontiers in Oncology. 10. 1451–1451. 21 indexed citations
11.
Zhang, Ligang, et al.. (2020). Fermentation, purification and immunogenicity of a recombinant tumor multi-epitope vaccine, VBP3. Protein Expression and Purification. 174. 105658–105658. 1 indexed citations
12.
Liu, Chunyan, et al.. (2020). Barriers and Strategies of Cationic Liposomes for Cancer Gene Therapy. Molecular Therapy — Methods & Clinical Development. 18. 751–764. 168 indexed citations
13.
Zhang, Ligang, Chengcheng Jiang, Xi Chen, et al.. (2020). Large‐scale production, purification, and function of a tumor multi‐epitope vaccine: Peptibody with bFGF/VEGFA. Engineering in Life Sciences. 20(9-10). 422–436. 6 indexed citations
14.
Zhang, Simin, et al.. (2018). Fine epitope mapping of a human disulphide-stabilized diabody against fibroblast growth factor-2. The Journal of Biochemistry. 165(6). 487–495. 3 indexed citations
15.
Cheng, Qi, Ning Deng, Jin Chen, et al.. (2018). SIX1 and DACH1 influence the proliferation and apoptosis of hepatocellular carcinoma through regulating p53. Cancer Biology & Therapy. 19(5). 381–390. 29 indexed citations
16.
Zhang, Jinxia, et al.. (2017). Inhibition activity of a disulfide-stabilized diabody against basic fibroblast growth factor in lung cancer. Oncotarget. 8(12). 20187–20197. 9 indexed citations
17.
Bai, Shoumei, Patrick Ingram, Yu‐Chih Chen, et al.. (2016). EGFL6 Regulates the Asymmetric Division, Maintenance, and Metastasis of ALDH+ Ovarian Cancer Cells. Cancer Research. 76(21). 6396–6409. 51 indexed citations
18.
Chen, Wenhui, et al.. (2013). Molecular mechanism of reversal effect of monoclonal antibody to basic fibroblast growth factor-mediated expression of P-glycoprotein on multiple drug resistance in adriamycin-resistant human breast cancer cell line MCF-7/ADM. Tumori. 33(1). 8–14. 3 indexed citations
19.
McLean, Karen, Yusong Gong, Yun‐Jung Choi, et al.. (2011). Human ovarian carcinoma–associated mesenchymal stem cells regulate cancer stem cells and tumorigenesis via altered BMP production. Journal of Clinical Investigation. 121(8). 3206–3219. 299 indexed citations
20.
Tao, Jun, et al.. (2010). Selection and characterization of a human neutralizing antibody to human fibroblast growth factor-2. Biochemical and Biophysical Research Communications. 394(3). 767–773. 22 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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