Xiaohua Ju
- Neurology top 10%
- Intracerebral and Subarachnoid Hemorrhage Research 3
- Neurology top 10%
- Intracerebral and Subarachnoid Hemorrhage Research 3
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- Neuroscience and Neuropharmacology Research 2
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- Mitochondrial Function and Pathology 4
- Coenzyme Q10 studies and effects 2
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- Metabolism and Genetic Disorders 3
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- Liver Disease Diagnosis and Treatment 2
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- Chronic Kidney Disease and Diabetes 2
- Dialysis and Renal Disease Management 2
- Co-authors
- James W. SimpkinsWen YiLiang‐Jun YanRan LiuMatthew S. GoldbergCong TanShao‐Hua YangHua She
- Cited by
- NeurologyDevelopmental Neuroscience
- Journals
- Neurobiology of Aging (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaohua Ju
12 papers receiving 417 citations
Peers
Comparison fields: 5 of 76
- Neurology 77
- Neurology 117
- Developmental Neuroscience 22
- Cellular and Molecular Neuroscience 95
- Biological Psychiatry 13
Countries citing papers authored by Xiaohua Ju
This map shows the geographic impact of Xiaohua Ju'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 Xiaohua Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Ju more than expected).
Fields of papers citing papers by Xiaohua Ju
This network shows the impact of papers produced by Xiaohua Ju. 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 Xiaohua Ju. The network helps show where Xiaohua Ju may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaohua Ju, 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 | 2017 | 23 | |
| 2 | 2015 | 55 | |
| 3 | 2014 | 19 | |
| 4 | 2013 | 6 | |
| 5 | 2013 | 16 | |
| 6 | 2012 | 25 | |
| 7 | 2011 | 11 | |
| 8 | 2011 | 219 | |
| 9 | 2010 | 14 | |
| 10 | 2008 | 16 | |
| 11 | Effects of ethanol on liver sinusoidal endothelial cells-fenestrae of rats. | 2005 | 17 |
| 12 | [The influence of alcohol on the liver sinusoids endothelial cell fenestrae of rats]. | 2004 | 1 |
About Xiaohua Ju
Xiaohua Ju is a scholar working on Clinical Biochemistry, Biological Psychiatry and Nephrology, having authored 12 papers that have together received 422 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Metabolism and Genetic Disorders (3 papers), Coenzyme Q10 studies and effects (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Dialysis and Renal Disease Management (2 papers). The work is most often cited by research in Neurology (77 citations), Neurology (117 citations) and Developmental Neuroscience (22 citations). Xiaohua Ju has collaborated with scholars based in China and United States. Frequent co-authors include James W. Simpkins, Wen Yi, Liang‐Jun Yan, Ran Liu, Matthew S. Goldberg, Cong Tan, Shao‐Hua Yang, Hua She, Zixu Mao and Marian Marvin. Their work appears in journals such as Neurobiology of Aging, Journal of Pharmacology and Experimental Therapeutics, Journal of Biological Chemistry, American Journal of Hypertension and Journal of Applied Physiology.
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.