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
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- Advanced Bandit Algorithms Research 3
- Co-authors
- Li 丽 Chen 陈 (4 shared papers)Hong Wang (3 shared papers)Yajiang Yang (3 shared papers)Keping Yang (1 shared paper)Quan Yuan (1 shared paper)Shuqin Cao (1 shared paper)Shaohua Qu (5 shared papers)Yanhua Huang (1 shared paper)
In The Last Decade
Ningxia Wang
19 papers receiving 327 citations
Peers
Comparison fields: 5 of 70
- Biomaterials 88
- Cancer Research 53
- Information Systems 89
- Molecular Medicine 17
- Management Science and Operations Research 36
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 99 | |
| 2 | 2008 | 59 | |
| 3 | 2018 | 48 | |
| 4 | 2007 | 27 | |
| 5 | 2007 | 20 | |
| 6 | 2020 | 17 | |
| 7 | 2016 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 11 | |
| 10 | 2024 | 8 | |
| 11 | 2019 | 6 | |
| 12 | Neuroendocrine carcinoma of the breast with hyperprolactinemia: report of two cases and a minireview. | 2020 | 4 |
| 13 | 2024 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | Prognostic significance of FOXA1 and BRCA1 expression in triple negative breast cancer | 2012 | 1 |
| 17 | 2023 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 | |
| 20 | Design and test of a pitting and slicing integrated device for jujube | 2013 | 0 |
About Ningxia Wang
Ningxia Wang is a scholar working on Cancer Research, Management Science and Operations Research, Experimental and Cognitive Psychology, Biomaterials and Information Systems, having authored 20 papers that have together received 345 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (4 papers), Psychological and Educational Research Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Advanced Bandit Algorithms Research (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Male Breast Health Studies (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Polydiacetylene-based materials and applications (2 papers). The work is most often cited by research in Biomaterials (88 citations), Cancer Research (53 citations), Information Systems (89 citations), Molecular Medicine (17 citations) and Management Science and Operations Research (36 citations). Ningxia Wang has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Li 丽 Chen 陈, Hong Wang, Yajiang Yang, Keping Yang, Quan Yuan, Shuqin Cao, Shaohua Qu, Yanhua Huang, Jie Zhang and Qing Zhang. Their work appears in journals such as Aesthetic Plastic Surgery, Bioscience Reports, International Journal of Pharmaceutics, Journal of Surgical Research and BMC Endocrine Disorders.
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.