Ning Bai
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Developmental Neuroscience top 10%
Papers in
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- Circular RNAs in diseases 3
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Xinying Li (5 shared papers)Yiming Tao (2 shared papers)Kohichi Tanaka (4 shared papers)Zhejia Zhang (4 shared papers)Tomomi Aida (3 shared papers)Fada Xia (6 shared papers)Zhiming Wang (1 shared paper)Xingsheng Qiu (1 shared paper)
- Journals
- International Journal of Biological Sciences (3 papers)Molecular Brain (3 papers)Cancers (2 papers)Journal of Cancer (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ning Bai
34 papers receiving 883 citations
Peers
Comparison fields: 5 of 91
- Cancer Research 316
- Developmental Neuroscience 42
- Biological Psychiatry 22
- Neurology 66
- Cellular and Molecular Neuroscience 142
Countries citing papers authored by Ning Bai
This map shows the geographic impact of Ning Bai'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 Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Bai more than expected).
Fields of papers citing papers by Ning Bai
This network shows the impact of papers produced by Ning Bai. 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 Bai. The network helps show where Ning Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Bai, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 133 | |
| 2 | 2015 | 122 | |
| 3 | 2019 | 79 | |
| 4 | 2022 | 60 | |
| 5 | 2013 | 55 | |
| 6 | 2020 | 49 | |
| 7 | 2020 | 43 | |
| 8 | 2013 | 39 | |
| 9 | 2022 | 38 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 22 | |
| 12 | 2021 | 22 | |
| 13 | 2013 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2020 | 16 | |
| 17 | 2017 | 16 | |
| 18 | 2023 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2022 | 13 |
About Ning Bai
Ning Bai is a scholar working on Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism, Oncology and Surgery, having authored 37 papers that have together received 887 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Neuroscience and Neuropharmacology Research (4 papers), MicroRNA in disease regulation (4 papers), Thyroid and Parathyroid Surgery (4 papers), Cancer-related molecular mechanisms research (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Anesthesia and Neurotoxicity Research (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (316 citations), Developmental Neuroscience (42 citations), Biological Psychiatry (22 citations), Neurology (66 citations) and Cellular and Molecular Neuroscience (142 citations). Ning Bai has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xinying Li, Yiming Tao, Kohichi Tanaka, Zhejia Zhang, Tomomi Aida, Fada Xia, Zhiming Wang, Xingsheng Qiu, Ning Lyu and Dong Wang. Their work appears in journals such as International Journal of Biological Sciences, Molecular Brain, Cancers, Journal of Cancer and Scientific Reports.
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.