Haohua Deng
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 1
- Neurology top 10%
- Modeling and Simulation top 10%
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- Adipose Tissue and Metabolism 3
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- Pancreatic function and diabetes 3
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- Adipokines, Inflammation, and Metabolic Diseases 2
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- Genetics and Neurodevelopmental Disorders 2
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- Nuclear Receptors and Signaling 2
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- Folate and B Vitamins Research 2
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- Extracellular vesicles in disease 1
- Co-authors
- Yancheng XuJiazhong SunZhe DaiLi SunXin LiYuwen WuQi HuangYong Hu
- Journals
- PLoS ONE (1 paper)Biochemical and Biophysical Research Communications (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- China
In The Last Decade
Haohua Deng
14 papers receiving 548 citations
Peers
Comparison fields: 5 of 101
- Infectious Diseases 268
- Neurology 157
- Modeling and Simulation 32
- Obstetrics and Gynecology 33
- Oncology 79
Countries citing papers authored by Haohua Deng
This map shows the geographic impact of Haohua Deng'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 Haohua Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haohua Deng more than expected).
Fields of papers citing papers by Haohua Deng
This network shows the impact of papers produced by Haohua Deng. 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 Haohua Deng. The network helps show where Haohua Deng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haohua Deng, 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 | 2024 | 4 | |
| 2 | 2023 | 17 | |
| 3 | 2020 | 419 | |
| 4 | 2018 | 13 | |
| 5 | 2018 | 16 | |
| 6 | 2015 | 10 | |
| 7 | 2015 | 5 | |
| 8 | 2015 | 15 | |
| 9 | 2014 | 15 | |
| 10 | 2010 | 20 | |
| 11 | 2010 | 13 | |
| 12 | 2009 | 0 | |
| 13 | [The relationship of methylenetetrahydrofolate reductase gene polymorphism and plasma homocysteine levels in type 2 diabetes mellitus patients with diabetic retinopathy]. | 2003 | 5 |
| 14 | The relationship between MTHFR gene polymorphisms, plasma homocysteine levels and diabetic retinopathy in type 2 diabetes mellitus. | 2003 | 14 |
| 15 | [Association of polymorphism in neurogenic differentiation factor 1 gene with type 2 diabetes]. | 2002 | 4 |
About Haohua Deng
Haohua Deng is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Endocrine and Autonomic Systems, having authored 15 papers that have together received 570 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Pancreatic function and diabetes (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Nuclear Receptors and Signaling (2 papers), Folate and B Vitamins Research (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Infectious Diseases (268 citations), Neurology (157 citations) and Modeling and Simulation (32 citations). Haohua Deng has collaborated with scholars based in China. Frequent co-authors include Yancheng Xu, Jiazhong Sun, Zhe Dai, Li Sun, Xin Li, Yuwen Wu, Qi Huang, Yong Hu, Xin Li and Jun Tang. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Journal of Cellular Biochemistry.
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.