Bing Xia
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- Nerve injury and regeneration 15
- Biomaterials top 5%
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- Heavy Metal Exposure and Toxicity 12
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms 7
- Nutrition and Dietetics top 5%
- Trace Elements in Health 10
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- Nuclear reactor physics and engineering 19
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- Nuclear Materials and Properties 16
- Graphite, nuclear technology, radiation studies 10
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- Lung Cancer Research Studies 6
Bing Xia
113 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 148
- Cellular and Molecular Neuroscience 367
- Biomaterials 212
- Health, Toxicology and Mutagenesis 217
- Developmental Neuroscience 56
- Nutrition and Dietetics 165
Countries citing papers authored by Bing Xia
This map shows the geographic impact of Bing Xia'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 Bing Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Xia more than expected).
Fields of papers citing papers by Bing Xia
This network shows the impact of papers produced by Bing Xia. 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 Bing Xia. The network helps show where Bing Xia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bing Xia, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 22 | |
| 12 | 2017 | 115 | |
| 13 | 2016 | 25 | |
| 14 | 2015 | 18 | |
| 15 | 2014 | 16 | |
| 16 | Error analysis and experimental research of HTR-10 burnup measurement system | 2013 | 1 |
| 17 | Advances in Femtosecond Laser Fabrication of Microchannels | 2012 | 1 |
| 18 | Dynamic evolution of the ecological service value based on LUCC in Miyun Reservoir Catchment. | 2010 | 11 |
| 19 | Land use pattern optimization based on eco-service value in the upper Chaobai River Basin. | 2010 | 3 |
| 20 | 2D NMR study on cycloartane triterpenoids from Astragalus membranaceus var. mongholicus | 2008 | 2 |
About Bing Xia
Bing Xia is a scholar working on Developmental Neuroscience, Radiation, Health, Toxicology and Mutagenesis, Cellular and Molecular Neuroscience and Software, having authored 125 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (19 papers), Nuclear Materials and Properties (16 papers), Nerve injury and regeneration (15 papers), Heavy Metal Exposure and Toxicity (12 papers), Graphite, nuclear technology, radiation studies (10 papers), Trace Elements in Health (10 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Lung Cancer Research Studies (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (367 citations), Biomaterials (212 citations), Health, Toxicology and Mutagenesis (217 citations), Developmental Neuroscience (56 citations) and Nutrition and Dietetics (165 citations). Bing Xia has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Jinghui Huang, Valentine I. Vullev, Zhuojing Luo, Liangliang Huang, Teng Ma, Guilford Jones, Jiandi Wan, Huabin Cao, Caiying Zhang and Roy S. Herbst. Their work appears in journals such as Biological Trace Element Research, Progress in Nuclear Energy, Scientific Reports, Journal of Clinical Oncology and Nuclear Engineering and Design.
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.