Haohua Deng
- Infectious Diseases top 5%
- Neurology top 10%
- Oncology
- Molecular Biology
- Epidemiology
- Co-authors
- Yancheng XuJiazhong SunZhe DaiLi SunXin LiYuwen WuQi HuangYong Hu
- Topics
- Adipose Tissue and Metabolism (3 papers)Pancreatic function and diabetes (3 papers)Adipokines, Inflammation, and Metabolic Diseases (2 papers)
- Journals
- PLoS ONEBiochemical and Biophysical Research CommunicationsJournal of Cellular Biochemistry
- 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
- Oncology 79
- Molecular Biology 78
- Epidemiology 66
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 of co-authors of Haohua Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Haohua Deng. A scholar is included among the top collaborators of Haohua Deng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haohua Deng. Haohua Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 17 | |
| 3 | 419 | |
| 4 | 13 | |
| 5 | 16 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 15 | |
| 10 | 20 | |
| 11 | 13 | |
| 12 | 0 | |
| 13 | [The relationship of methylenetetrahydrofolate reductase gene polymorphism and plasma homocysteine levels in type 2 diabetes mellitus patients with diabetic retinopathy]. | 5 |
| 14 | The relationship between MTHFR gene polymorphisms, plasma homocysteine levels and diabetic retinopathy in type 2 diabetes mellitus. | 14 |
| 15 | [Association of polymorphism in neurogenic differentiation factor 1 gene with type 2 diabetes]. | 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) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). 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.