Ningxia Wang
Impact in
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- Supramolecular Self-Assembly in Materials
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- Cancer-related molecular mechanisms research
Papers in
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- Cancer-related molecular mechanisms research 3
- Breast Cancer Treatment Studies 2
- Co-authors
- Li Chen (5 shared papers)Hong Wang (3 shared papers)Yajiang Yang (3 shared papers)Quan Yuan (1 shared paper)Keping Yang (1 shared paper)Shuqin Cao (1 shared paper)Shaohua Qu (5 shared papers)Jie Zhang (1 shared paper)
In The Last Decade
Ningxia Wang
20 papers receiving 294 citations
Peers
Comparison fields: 5 of 74
- Biomaterials 86
- Cancer Research 61
- Molecular Medicine 17
- Information Systems 70
- Management Science and Operations Research 28
Countries citing papers authored by Ningxia Wang
This map shows the geographic impact of Ningxia 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 Ningxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningxia Wang more than expected).
Fields of papers citing papers by Ningxia Wang
This network shows the impact of papers produced by Ningxia 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 Ningxia Wang. The network helps show where Ningxia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ningxia 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2008 | 58 | |
| 3 | 2018 | 46 | |
| 4 | 2007 | 26 | |
| 5 | 2007 | 20 | |
| 6 | 2016 | 14 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 6 | |
| 11 | 2024 | 5 | |
| 12 | Neuroendocrine carcinoma of the breast with hyperprolactinemia: report of two cases and a minireview. | 2020 | 4 |
| 13 | 2024 | 4 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 2 | |
| 16 | Prognostic significance of FOXA1 and BRCA1 expression in triple negative breast cancer | 2012 | 1 |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2021 | 1 |
About Ningxia Wang
Ningxia Wang is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Information Systems and Dermatology, having authored 22 papers that have together received 302 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (4 papers), Psychological and Educational Research Studies (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Advanced Bandit Algorithms Research (3 papers), Cancer-related molecular mechanisms research (3 papers), Breast Lesions and Carcinomas (3 papers), Cancer and Skin Lesions (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Biomaterials (86 citations), Cancer Research (61 citations), Molecular Medicine (17 citations), Information Systems (70 citations) and Management Science and Operations Research (28 citations). Ningxia Wang has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Li Chen, Hong Wang, Yajiang Yang, Quan Yuan, Keping Yang, Shuqin Cao, Shaohua Qu, Jie Zhang, Wei Zhang and Qing Zhang. Their work appears in journals such as Aesthetic Plastic Surgery, User Modeling and User-Adapted Interaction, Bioscience Reports, Journal of Colloid and Interface Science and Cancer Biomarkers.
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.