Ning Wang
- Physiology top 1%
- Adenosine and Purinergic Signaling 14
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 10
- Oncology top 5%
- Bone health and treatments 18
- Molecular Biology top 5%
- RNA modifications and cancer 10
- Bone Metabolism and Diseases 10
- Genomics and Phylogenetic Studies 9
- Immunology top 5%
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- Osteoarthritis Treatment and Mechanisms 14
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- Prostate Cancer Treatment and Research 10
- Co-authors
- Penelope D. OttewellAlison GartlandIngunn HolenColby L. EatonPeter I. CroucherHannah K. BrownHui LiBernard Robaye
- Cited by
- PhysiologyCancer ResearchOncology
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ning Wang
233 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 163
- Physiology 253
- Cancer Research 665
- Oncology 924
- Molecular Biology 2.0k
- Immunology 471
Countries citing papers authored by Ning Wang
This map shows the geographic impact of Ning Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Wang more than expected).
Fields of papers citing papers by Ning Wang
This network shows the impact of papers produced by Ning Wang. 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 Wang. The network helps show where Ning Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ning Wang, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 35 | |
| 14 | 2022 | 11 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 4 | |
| 17 | 2014 | 131 | |
| 18 | A porcine (Sus scrofa domesticus) somatic cell line of tetracycline operator (TetO)-inducible system for reprogramming. | 2014 | 1 |
| 19 | Polymorphism in 3′UTR of DLX3 Gene and Its Association with Wool Quality Traits in Chinese Merino Sheep | 2012 | 2 |
| 20 | Study on forkhead box protein P3 (Foxp3) and IL-10 in patients with severe aplastic anemia. | 2009 | 1 |
About Ning Wang
Ning Wang is a scholar working on Physiology, Cancer Research and Oncology, having authored 246 papers that have together received 4.9k indexed citations. Recurring topics across this work include Bone health and treatments (18 papers), Osteoarthritis Treatment and Mechanisms (14 papers), Adenosine and Purinergic Signaling (14 papers), RNA modifications and cancer (10 papers), Bone Metabolism and Diseases (10 papers), Cancer-related molecular mechanisms research (10 papers), Prostate Cancer Treatment and Research (10 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Physiology (253 citations), Cancer Research (665 citations) and Oncology (924 citations). Ning Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Penelope D. Ottewell, Alison Gartland, Ingunn Holen, Colby L. Eaton, Peter I. Croucher, Hannah K. Brown, Hui Li, Bernard Robaye, Robert B. Banzett and Jean‐Marie Boeynaems. Their work appears in journals such as PLoS ONE, Frontiers in Endocrinology, The FASEB Journal, Scientific Reports and International Journal of Molecular Sciences.
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.