Ning Ji

1.3k total citations · 1 hit paper
51 papers, 984 citations indexed

About

Ning Ji is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Ning Ji has authored 51 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Oncology and 9 papers in Plant Science. Recurrent topics in Ning Ji's work include Drug Transport and Resistance Mechanisms (15 papers), Cancer therapeutics and mechanisms (7 papers) and HIV/AIDS drug development and treatment (5 papers). Ning Ji is often cited by papers focused on Drug Transport and Resistance Mechanisms (15 papers), Cancer therapeutics and mechanisms (7 papers) and HIV/AIDS drug development and treatment (5 papers). Ning Ji collaborates with scholars based in China, United States and Czechia. Ning Ji's co-authors include Zhe‐Sheng Chen, Jing‐Quan Wang, Yuqi Yang, Zi‐Ning Lei, Zhiyong Ding, Nan Wang, Chao‐Yun Cai, Dong‐Hua Yang, Dexin Kong and Qingbin Cui and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Ning Ji

48 papers receiving 973 citations

Hit Papers

Proteomics technologies for cancer liquid biopsies 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Proteomics technologies for cancer liquid biopsies
    2022 149 citations Zhiyong Ding, Nan Wang et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Ji China 19 554 396 159 119 100 51 984
Amit Kulkarni United States 12 1.2k 2.2× 307 0.8× 247 1.6× 74 0.6× 57 0.6× 19 1.7k
Françoise de Longueville Belgium 13 776 1.4× 316 0.8× 230 1.4× 57 0.5× 46 0.5× 18 1.3k
Yanlin Ma China 19 769 1.4× 134 0.3× 96 0.6× 75 0.6× 89 0.9× 66 1.1k
Mohammad Sarwar Jamal Saudi Arabia 19 467 0.8× 203 0.5× 136 0.9× 44 0.4× 82 0.8× 37 992
Véronique Bourgarel‐Rey France 22 526 0.9× 277 0.7× 152 1.0× 47 0.4× 23 0.2× 30 1.1k
Christian M. Paumi United States 15 539 1.0× 221 0.6× 43 0.3× 53 0.4× 79 0.8× 19 873
Erasmus Schneider United States 20 1.1k 1.9× 938 2.4× 129 0.8× 163 1.4× 38 0.4× 42 1.8k
Anuradha Roy United States 18 656 1.2× 229 0.6× 171 1.1× 112 0.9× 45 0.5× 56 1.1k
Ryan A. Henry United States 17 927 1.7× 125 0.3× 212 1.3× 48 0.4× 57 0.6× 23 1.3k
Astrid Kaiser Germany 21 729 1.3× 324 0.8× 64 0.4× 72 0.6× 57 0.6× 63 1.3k

Countries citing papers authored by Ning Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Ji. A scholar is included among the top collaborators of Ning Ji 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 Ji. Ning Ji 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.
Fan, Shijie, Wenjuan Li, Zejiao Li, et al.. (2025). PRMT5 encourages cell migration and metastasis of tongue squamous cell carcinoma through methylating ΔNp63α. Cell Death and Differentiation. 1 indexed citations
2.
Dong, Dong, Na Zhao, Changsen Bai, et al.. (2025). Hepatocyte-specific C-C motif chemokine ligand 9 signaling promotes liver fibrosis progression in mice. Hepatology. 83(4). 789–807. 2 indexed citations
3.
4.
Li, Shangrong, Lisha Bai, Huimin Zhao, et al.. (2024). Structural transition of GP64 triggered by a pH-sensitive multi-histidine switch. Nature Communications. 15(1). 7668–7668. 6 indexed citations
5.
6.
Ji, Ning, et al.. (2023). Anti-aging Effects of Alu Antisense RNA on Human Fibroblast Senescence Through the MEK-ERK Pathway Mediated by KIF15. Current Medical Science. 43(1). 35–47. 2 indexed citations
7.
8.
Ji, Ning, et al.. (2023). Zebrafish SETD3 mediated ubiquitination of phosphoprotein limits spring viremia of carp virus infection. Fish & Shellfish Immunology. 139. 108870–108870. 2 indexed citations
9.
Wang, Shuai, Ning Ji, Chengtao Sun, et al.. (2023). Targeting ACYP1-mediated glycolysis reverses lenvatinib resistance and restricts hepatocellular carcinoma progression. Drug Resistance Updates. 69. 100976–100976. 67 indexed citations
10.
Ding, Zhiyong, Nan Wang, Ning Ji, & Zhe‐Sheng Chen. (2022). Proteomics technologies for cancer liquid biopsies. Molecular Cancer. 21(1). 53–53. 149 indexed citations breakdown →
11.
Yan, Han, Rui Wang, Ning Ji, et al.. (2022). Preparation, Shelf, and Eating Quality of Ready-to-Eat “Guichang” Kiwifruit: Regulation by Ethylene and 1-MCP. Frontiers in Chemistry. 10. 934032–934032. 8 indexed citations
12.
Wang, Jing‐Quan, Qiu‐Xu Teng, Zi‐Ning Lei, et al.. (2020). Venetoclax, a BCL-2 Inhibitor, Enhances the Efficacy of Chemotherapeutic Agents in Wild-Type ABCG2-Overexpression-Mediated MDR Cancer Cells. Cancers. 12(2). 466–466. 48 indexed citations
13.
Ji, Ning, et al.. (2020). The preparation of endotoxin-free genetically engineered murine B1 antisense RNA. Analytical Biochemistry. 599. 113737–113737. 5 indexed citations
14.
Yang, Yuqi, Ning Ji, Qiu‐Xu Teng, et al.. (2020). Sitravatinib, a Tyrosine Kinase Inhibitor, Inhibits the Transport Function of ABCG2 and Restores Sensitivity to Chemotherapy-Resistant Cancer Cells in vitro. Frontiers in Oncology. 10. 700–700. 35 indexed citations
15.
Cui, Qingbin, Chao‐Yun Cai, Jing‐Quan Wang, et al.. (2019). Chk1 Inhibitor MK-8776 Restores the Sensitivity of Chemotherapeutics in P-glycoprotein Overexpressing Cancer Cells. International Journal of Molecular Sciences. 20(17). 4095–4095. 26 indexed citations
16.
Ba, Liangjie, et al.. (2019). Effect of different preservatives on the storage of Gastrodia elata.. Shipin yanjiu yu kaifa. 40(23). 71–76. 1 indexed citations
17.
Ji, Ning, Yuqi Yang, Chao‐Yun Cai, et al.. (2018). Selonsertib (GS-4997), an ASK1 inhibitor, antagonizes multidrug resistance in ABCB1- and ABCG2-overexpressing cancer cells. Cancer Letters. 440-441. 82–93. 91 indexed citations
18.
Ji, Ning, Yuqi Yang, Zi‐Ning Lei, et al.. (2018). Ulixertinib (BVD-523) antagonizes ABCB1- and ABCG2-mediated chemotherapeutic drug resistance. Biochemical Pharmacology. 158. 274–285. 47 indexed citations
19.
Xu, Baoshan, Xinlong Ma, Yong‐cheng Hu, et al.. (2016). Bilateral decompression via unilateral fenestration and interbody fusion for complex lumbar spinal stenosis with mobile microendoscopic discectomy technique. Zhonghua guke zazhi. 36(12). 753–760. 2 indexed citations
20.
Ji, Ning. (2012). Effects of Total Flavonoids of Sarcandrae glabra on Mouse Blood-fat Content. 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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