Hui Yuan
- Immunology
- Molecular Biology
- Rheumatology
- Public Health, Environmental and Occupational Health
- Clinical Psychology
- Co-authors
- Dong‐Qing YeLairun JinHai‐Feng PanLu WangXingui ChenKai WangMingquan YeYali Liang
- Topics
- Systemic Lupus Erythematosus Research (9 papers)Ferroptosis and cancer prognosis (3 papers)Cancer-related molecular mechanisms research (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEFrontiers in Immunology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hui Yuan
39 papers receiving 357 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Immunology 80
- Molecular Biology 73
- Rheumatology 66
- Public Health, Environmental and Occupational Health 41
- Clinical Psychology 38
Countries citing papers authored by Hui Yuan
This map shows the geographic impact of Hui Yuan'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 Hui Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Yuan more than expected).
Fields of papers citing papers by Hui Yuan
This network shows the impact of papers produced by Hui Yuan. 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 Hui Yuan. The network helps show where Hui Yuan may publish in the future.
Co-authorship network of co-authors of Hui Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Hui Yuan. A scholar is included among the top collaborators of Hui Yuan 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 Hui Yuan. Hui Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | High urine miR-126 level predicts bladder cancer in hematuria patients | 1 |
| 17 | 27 | |
| 18 | Clinical value of CT-guided radiofrequency ablation in combination with chemotherapy embolism of liver artery in the treatment of hepatocellular carcinoma | 2 |
| 19 | 25 | |
| 20 | Case-Control Study on Relationship between Hair Dye Use and Risk of Hematological Cancers | 1 |
About Hui Yuan
Hui Yuan is a scholar working on Rheumatology, Modeling and Simulation and Immunology, having authored 42 papers that have together received 363 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (9 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Rheumatology (66 citations), Immunology (80 citations) and Biological Psychiatry (6 citations). Hui Yuan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dong‐Qing Ye, Lairun Jin, Hai‐Feng Pan, Lu Wang, Xingui Chen, Kai Wang, Mingquan Ye, Yali Liang, Yingshui Yao and Lianhe Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Immunology.
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.