Tao Ning

5.6k citations
151 papers · 4.4k indexed · 2 hit papers · h-index 33

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery

Papers in

Tao Ning

141 papers receiving 4.3k citations

Hit Papers

CAF secreted miR-522 suppresses ferroptosis and promotes acquired chemo-resistance in gastric cancer 2020 · 776 citations
7762017202620202023250500750

Peers

Tao Ning
Comparison fields: 5 of 152
  • Cancer Research 1.6k
  • Molecular Biology 2.5k
  • Oncology 835
  • Immunology 580
  • Biomaterials 304
Replace Zhao Huang with:
Zhao Huang China
Xi Yang China
Jun Hu China
Yingxuan Chen China
Wen Xu China
Yongzhong Wu China
Muzafar A. Macha India
Wenling Zhang China
Chen Yang China
Tao Ning relative to Zhao Huang China Zhao Huang's profile →
Citations per field
00.5×3.6×
Zhao Huang · 1×
Citations per year

Countries citing papers authored by Tao Ning

Since Specialization
Citations

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

Fields of papers citing papers by Tao Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tao Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tao Ning Line = papers co-authored together Tao Ning links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20242
5 20243
6 202312
7 202032
8 201910
9 201728
10
Exosome-delivered EGFR regulates liver microenvironment to promote gastric cancer liver metastasis
Hit paper breakdown →
2017450
11 201722
12 20167
13 20164
14 20156
15 201526
16 2015185
17 201573
18 201439
19 200733
20
Improvement for Auto-passing of the Phase Separation System in Daqing Railway
20071

About Tao Ning

Tao Ning is a scholar working on Cancer Research, General Engineering, Oncology, Structural Biology and Hepatology, having authored 151 papers that have together received 4.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (17 papers), Cervical Cancer and HPV Research (12 papers), Immune cells in cancer (11 papers), Esophageal Cancer Research and Treatment (10 papers), Gastric Cancer Management and Outcomes (9 papers), Hepatitis B Virus Studies (9 papers) and Colorectal Cancer Treatments and Studies (8 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (2.5k citations), Oncology (835 citations), Immunology (580 citations) and Biomaterials (304 citations). Tao Ning has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Yi Ba, Ting Deng, Haiyang Zhang, Guoguang Ying, Shaohua Ge, Haiou Yang, Zhihai Qin, Ming Bai, Yang Ke and Likun Zhou. Their work appears in journals such as BMC Cancer, PLoS ONE, Journal of Clinical Oncology, Scientific Reports and Oncology Reports.

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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