Xing Feng
- Nephrology top 5%
- Cancer Research top 10%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Endocrine and Autonomic Systems top 10%
- Molecular Biology top 10%
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- Neonatal and fetal brain pathology 8
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- Autophagy in Disease and Therapy 6
- Sepsis Diagnosis and Treatment 6
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- Neonatal Respiratory Health Research 5
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- Chromosomal and Genetic Variations 5
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- Neonatal and Maternal Infections 4
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- Cardiovascular Disease and Adiposity 4
- Co-authors
- Jian PanYanhong LiLixiao XuXiaozhong LiJian WangRui ShengYuanyuan QinZheng‐Hong Qin
- Cited by
- NephrologyCancer ResearchNeurology
- Journals
- BMC Pediatrics (6 papers)International Journal of Molecular Sciences (3 papers)Brain Research (3 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Xing Feng
82 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 125
- Nephrology 134
- Cancer Research 264
- Neurology 139
- Endocrine and Autonomic Systems 95
- Molecular Biology 870
Countries citing papers authored by Xing Feng
This map shows the geographic impact of Xing Feng'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 Xing Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Feng more than expected).
Fields of papers citing papers by Xing Feng
This network shows the impact of papers produced by Xing Feng. 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 Xing Feng. The network helps show where Xing Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xing Feng, 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 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 32 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 10 | |
| 11 | 2016 | 48 | |
| 12 | 2015 | 10 | |
| 13 | 2015 | 21 | |
| 14 | 2015 | 69 | |
| 15 | 2013 | 22 | |
| 16 | 2013 | 12 | |
| 17 | 2012 | 40 | |
| 18 | 2011 | 12 | |
| 19 | 2010 | 2 | |
| 20 | 2003 | 21 |
About Xing Feng
Xing Feng is a scholar working on Endocrine and Autonomic Systems, Nephrology and Pediatrics, Perinatology and Child Health, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (8 papers), Autophagy in Disease and Therapy (6 papers), Sepsis Diagnosis and Treatment (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neonatal Respiratory Health Research (5 papers), Chromosomal and Genetic Variations (5 papers), Neonatal and Maternal Infections (4 papers) and Cardiovascular Disease and Adiposity (4 papers). The work is most often cited by research in Nephrology (134 citations), Cancer Research (264 citations) and Neurology (139 citations). Xing Feng has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Jian Pan, Yanhong Li, Lixiao Xu, Xiaozhong Li, Jian Wang, Rui Sheng, Yuanyuan Qin, Zheng‐Hong Qin, Jieyu Chen and Xin Ding. Their work appears in journals such as BMC Pediatrics, International Journal of Molecular Sciences, Brain Research, Biological Trace Element Research and BMC Cancer.
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.