Ning Tang

23 papers receiving 716 citations

Peers

Ning Tang
Comparison fields: 5 of 103
  • Biomaterials 193
  • Molecular Medicine 24
  • Molecular Biology 322
  • Hepatology 29
  • Pharmaceutical Science 23
Replace Wenxue Zhang with:
Wenxue Zhang China
Yan Dai China
Jifan Chen China
Chunmei Xie China
Ramesh Choudhari United States
Xiang Yu China
Liang Sang China
Leiming Xu China
Buyun Ma China
Eva Muñoz Spain
Ning Tang relative to Wenxue Zhang China Wenxue Zhang's profile →
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Citations per year

Countries citing papers authored by Ning Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ning Tang, 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 Ning Tang Line = papers co-authored together Ning Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007213
2 2006182
3 200588
4 201163
5 202325
6 202324
7 202022
8 202221
9 201920
10 200817
11 202114
12 20217
13 20207
14
[Cell penetrating peptides enhance intracellular translocation and function of siRNA encapsulated in Pegylated liposomes].
20066
15 20205
16 20163
17 19982
18
[Research and application progress of adipose-derived stem cells].
20112
19 20252
20 20242

About Ning Tang

Ning Tang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering and Biomedical Engineering, having authored 25 papers that have together received 728 indexed citations. Recurring topics across this work include Retinal and Macular Surgery (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Optical Systems and Laser Technology (2 papers), Antimicrobial agents and applications (2 papers), RNA Interference and Gene Delivery (2 papers), Antibiotic Resistance in Bacteria (2 papers), Optical Coherence Tomography Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Biomaterials (193 citations), Molecular Medicine (24 citations), Molecular Biology (322 citations), Hepatology (29 citations) and Pharmaceutical Science (23 citations). Ning Tang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wei Liang, Xing‐Jun Liu, Gang Du, Chunyu Liu, Nan Wang, Chunling Zhang, Vladimir P. Torchilin, Wei Xu, Minwei Wang and Han Hu. Their work appears in journals such as Pharmaceutical Research, Advanced Healthcare Materials, International Immunopharmacology, JNCI Journal of the National Cancer Institute and International Journal of Biological Macromolecules.

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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