Dongsheng Rui
- Molecular Biology
- Health, Toxicology and Mutagenesis top 10%
- Environmental Chemistry top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers)Cancer, Lipids, and Metabolism (5 papers)Arsenic contamination and mitigation (4 papers)
In The Last Decade
Dongsheng Rui
34 papers receiving 553 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 148
- Health, Toxicology and Mutagenesis 129
- Environmental Chemistry 126
- Endocrinology, Diabetes and Metabolism 105
- Epidemiology 84
Countries citing papers authored by Dongsheng Rui
This map shows the geographic impact of Dongsheng Rui'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 Dongsheng Rui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongsheng Rui more than expected).
Fields of papers citing papers by Dongsheng Rui
This network shows the impact of papers produced by Dongsheng Rui. 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 Dongsheng Rui. The network helps show where Dongsheng Rui may publish in the future.
Co-authorship network of co-authors of Dongsheng Rui
This figure shows the co-authorship network connecting the top 25 collaborators of Dongsheng Rui. A scholar is included among the top collaborators of Dongsheng Rui 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 Dongsheng Rui. Dongsheng Rui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | Comparison of the effects of imputation methods for missing data in predictive modelling of cohort study datasetsbreakdown → | 46 |
| 5 | 29 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 60 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 10 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | [Association of lipoprotein lipase gene Hind III and S447X polymorphisms in metabolic syndrome patients among Kazakh and Han ethnics from Xinjiang]. | 2 |
| 19 | [Study on the prevalence of metabolic syndrome among the Kazakh population in Xinjiang]. | 7 |
| 20 | Epidemiological Characteristics and Analysis on Hypertension of Kazakstans and Hans in Xinjiang | 2 |
About Dongsheng Rui
Dongsheng Rui is a scholar working on Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis and Cancer Research, having authored 35 papers that have together received 562 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Cancer, Lipids, and Metabolism (5 papers) and Arsenic contamination and mitigation (4 papers). The work is most often cited by research in Environmental Chemistry (126 citations), Health, Toxicology and Mutagenesis (129 citations) and Endocrinology, Diabetes and Metabolism (105 citations). Dongsheng Rui has collaborated with scholars based in China, Taiwan and Austria. Frequent co-authors include Shugang Li, Yusong Ding, Qiang Niu, Yizhong Yan, Shangzhi Xu, Mengchuan Xu, Rulin Ma, Mingxia Jing, Heng Guo and Hui Shen. Their work appears in journals such as PLoS ONE, Gene and International Journal of Environmental Research and Public Health.
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.