Ning Tang
Impact in
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- Occupational Health and Safety Research
- Medical Laboratory Technology top 10%
Papers in
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- Occupational Health and Safety Research 5
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- Risk and Safety Analysis 5
- Co-authors
- Hao Hu (5 shared papers)Feng Xu (5 shared papers)Gavin S. Dawe (2 shared papers)Muthafar Al‐Haddawi (1 shared paper)Li Shen Loo (1 shared paper)Wanjin Hong (1 shared paper)Wei‐Yi Ong (3 shared papers)Daxiang Cui (5 shared papers)
In The Last Decade
Ning Tang
18 papers receiving 406 citations
Peers
Comparison fields: 5 of 111
- Radiological and Ultrasound Technology 56
- Medical Laboratory Technology 13
- Human-Computer Interaction 22
- Statistics, Probability and Uncertainty 28
- Cellular and Molecular Neuroscience 60
Countries citing papers authored by Ning Tang
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 96 | |
| 2 | 2014 | 80 | |
| 3 | 2019 | 52 | |
| 4 | 2012 | 34 | |
| 5 | 2016 | 27 | |
| 6 | 2007 | 27 | |
| 7 | 2007 | 23 | |
| 8 | Anti-allodynic effect of intracerebroventricularly administered antioxidant and free radical scavenger in a mouse model of orofacial pain. | 2009 | 16 |
| 9 | 2021 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2016 | 9 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2015 | 4 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2019 | 1 |
About Ning Tang
Ning Tang is a scholar working on Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty, Molecular Biology, Cellular and Molecular Neuroscience and Surgery, having authored 18 papers that have together received 413 indexed citations. Recurring topics across this work include Risk and Safety Analysis (5 papers), Occupational Health and Safety Research (5 papers), Gastrointestinal Bleeding Diagnosis and Treatment (2 papers), Gastrointestinal disorders and treatments (2 papers), Biochemical effects in animals (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Radiological and Ultrasound Technology (56 citations), Medical Laboratory Technology (13 citations), Human-Computer Interaction (22 citations), Statistics, Probability and Uncertainty (28 citations) and Cellular and Molecular Neuroscience (60 citations). Ning Tang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Hao Hu, Feng Xu, Gavin S. Dawe, Muthafar Al‐Haddawi, Li Shen Loo, Wanjin Hong, Wei‐Yi Ong, Daxiang Cui, Jin-Fei Yeo and Qian Zhang. Their work appears in journals such as Experimental Brain Research, Nanoscale, Enterprise Information Systems, Journal of Biomedical Science and IEEE Sensors Journal.
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.