Ning Qiao
- Molecular Biology
- Public Health, Environmental and Occupational Health top 2%
- Physiology top 5%
- Orthopedics and Sports Medicine top 2%
- Nutrition and Dietetics top 5%
- Co-authors
- Katherine L. TuckerDouglas P. KielL. Adrienne CupplesMarian T. HannanReubin AndresDenis C. MullerJudith HallfrischXiaowei Zhao
- Topics
- Machine Learning in Bioinformatics (19 papers)Pituitary Gland Disorders and Treatments (19 papers)Meningioma and schwannoma management (12 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ning Qiao
82 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 161
- Molecular Biology 643
- Public Health, Environmental and Occupational Health 633
- Physiology 461
- Orthopedics and Sports Medicine 353
- Nutrition and Dietetics 339
Countries citing papers authored by Ning Qiao
This map shows the geographic impact of Ning Qiao'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 Qiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Qiao more than expected).
Fields of papers citing papers by Ning Qiao
This network shows the impact of papers produced by Ning Qiao. 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 Qiao. The network helps show where Ning Qiao may publish in the future.
Co-authorship network of co-authors of Ning Qiao
This figure shows the co-authorship network connecting the top 25 collaborators of Ning Qiao. A scholar is included among the top collaborators of Ning Qiao 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 Qiao. Ning Qiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 60 | |
| 9 | 27 | |
| 10 | 6 | |
| 11 | 19 | |
| 12 | 6 | |
| 13 | Image Sequence Facial Expression Recognition Based on Deep Residual Network | 2 |
| 14 | 20 | |
| 15 | Chemical Composition of Volatile Oil from Two Emergent Plants and Their Algae Inhibition Activity | 15 |
| 16 | Comparative Morphology Study on the Jaws of Three Leech Species of the Genus Whitmania Blanchard | 1 |
| 17 | 15 | |
| 18 | 38 | |
| 19 | 8 | |
| 20 | 128 |
About Ning Qiao
Ning Qiao is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Genetics, having authored 94 papers that have together received 2.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (19 papers), Pituitary Gland Disorders and Treatments (19 papers) and Meningioma and schwannoma management (12 papers). The work is most often cited by research in Orthopedics and Sports Medicine (353 citations), Rheumatology (336 citations) and Nutrition and Dietetics (339 citations). Ning Qiao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Katherine L. Tucker, Douglas P. Kiel, L. Adrienne Cupples, Marian T. Hannan, Reubin Andres, Denis C. Muller, Judith Hallfrisch, Xiaowei Zhao, P.K. Newby and Zhiqiang Ma. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Bioinformatics.
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.