Ning Wang
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 10
- Bone Metabolism and Diseases 10
- Genomics and Phylogenetic Studies 9
- Oncology 57
- Bone health and treatments 18
- Co-authors
- Penelope D. Ottewell (10 shared papers)Alison Gartland (15 shared papers)Ingunn Holen (8 shared papers)Colby L. Eaton (10 shared papers)Peter I. Croucher (7 shared papers)Hannah K. Brown (7 shared papers)Hui Li (9 shared papers)Bernard Robaye (5 shared papers)
- Journals
- PLoS ONE (10 papers)Frontiers in Endocrinology (7 papers)The FASEB Journal (4 papers)Scientific Reports (4 papers)International Journal of Molecular Sciences (3 papers)
- 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-authors
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
Showing the 20 most-cited of 246 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 161 | |
| 2 | 2014 | 131 | |
| 3 | 2014 | 89 | |
| 4 | 2014 | 83 | |
| 5 | 2022 | 79 | |
| 6 | 2019 | 79 | |
| 7 | 2019 | 75 | |
| 8 | 2014 | 72 | |
| 9 | 2013 | 70 | |
| 10 | 2006 | 69 | |
| 11 | 2011 | 66 | |
| 12 | 2014 | 63 | |
| 13 | 2008 | 60 | |
| 14 | 2014 | 60 | |
| 15 | 2002 | 59 | |
| 16 | 2014 | 58 | |
| 17 | 2013 | 58 | |
| 18 | 2019 | 57 | |
| 19 | 2014 | 56 | |
| 20 | 2013 | 55 |
About Ning Wang
Ning Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, 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), Prostate Cancer Treatment and Research (10 papers), Cancer-related molecular mechanisms research (10 papers), Bone Metabolism and Diseases (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), Oncology (924 citations), Molecular Biology (2.0k citations) and Immunology (471 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.