Huimin Fan
- Molecular Biology top 5%
- Immunology top 5%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Co-authors
- Zhongmin LiuXiaohui ZhouJia‐Qiang HeLiang ZhengQingshu MengPaula CamachoYuzhen ZhangHao Cao
- Topics
- T-cell and B-cell Immunology (16 papers)Immune Cell Function and Interaction (14 papers)Tissue Engineering and Regenerative Medicine (11 papers)
- Cited by
- ImmunologyGeneticsCancer Research
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Immunology
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Huimin Fan
109 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.4k
- Immunology 748
- Surgery 560
- Cardiology and Cardiovascular Medicine 538
- Physiology 483
Countries citing papers authored by Huimin Fan
This map shows the geographic impact of Huimin Fan'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 Huimin Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huimin Fan more than expected).
Fields of papers citing papers by Huimin Fan
This network shows the impact of papers produced by Huimin Fan. 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 Huimin Fan. The network helps show where Huimin Fan may publish in the future.
Co-authorship network of co-authors of Huimin Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Huimin Fan. A scholar is included among the top collaborators of Huimin Fan 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 Huimin Fan. Huimin Fan 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 | Association between the triglyceride glucose-body mass index and future cardiovascular disease risk in a population with Cardiovascular-Kidney-Metabolic syndrome stage 0–3: a nationwide prospective cohort studybreakdown → | 72 |
| 3 | 8 | |
| 4 | 43 | |
| 5 | 29 | |
| 6 | 3 | |
| 7 | 144 | |
| 8 | 148 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 84 | |
| 13 | 10 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 28 | |
| 17 | 21 | |
| 18 | 46 | |
| 19 | 4 | |
| 20 | 7 |
About Huimin Fan
Huimin Fan is a scholar working on Immunology, Cancer Research and Nephrology, having authored 112 papers that have together received 3.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (14 papers) and Tissue Engineering and Regenerative Medicine (11 papers). The work is most often cited by research in Immunology (748 citations), Genetics (297 citations) and Cancer Research (386 citations). Huimin Fan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhongmin Liu, Xiaohui Zhou, Zhongmin Liu, Jia‐Qiang He, Liang Zheng, Qingshu Meng, Paula Camacho, Yuzhen Zhang, Hao Cao and Xiaoting Liang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of 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.