Mei Han
- Molecular Biology top 10%
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Biomedical Engineering
- Co-authors
- Zhan ZhangQian WuYiming FengChuan ZhangLijuan WangJun ZhuGehui YuanLei Tang
- Topics
- T-cell and B-cell Immunology (11 papers)Protein purification and stability (10 papers)Immune Cell Function and Interaction (9 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of ImmunologyAnalytical Chemistry
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Mei Han
31 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 707
- Immunology 352
- Radiology, Nuclear Medicine and Imaging 256
- Oncology 157
- Biomedical Engineering 124
Countries citing papers authored by Mei Han
This map shows the geographic impact of Mei Han'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 Mei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Han more than expected).
Fields of papers citing papers by Mei Han
This network shows the impact of papers produced by Mei Han. 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 Mei Han. The network helps show where Mei Han may publish in the future.
Co-authorship network of co-authors of Mei Han
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Han. A scholar is included among the top collaborators of Mei Han 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 Mei Han. Mei Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A purified membrane protein from Akkermansia muciniphila or the pasteurised bacterium blunts colitis associated tumourigenesis by modulation of CD8 + T cells in micebreakdown → | 461 |
| 2 | 21 | |
| 3 | 5 | |
| 4 | 57 | |
| 5 | 16 | |
| 6 | 27 | |
| 7 | 15 | |
| 8 | 43 | |
| 9 | 83 | |
| 10 | 6 | |
| 11 | 45 | |
| 12 | 23 | |
| 13 | 14 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 76 | |
| 18 | 7 | |
| 19 | 39 | |
| 20 | Invariant or highly conserved TCR alpha are expressed on double-negative (CD3+CD4-CD8-) and CD8+ T cells. | 44 |
About Mei Han
Mei Han is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Protein purification and stability (10 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Immunology (352 citations), Radiology, Nuclear Medicine and Imaging (256 citations) and Molecular Biology (707 citations). Mei Han has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Zhan Zhang, Qian Wu, Yiming Feng, Chuan Zhang, Lijuan Wang, Jun Zhu, Gehui Yuan, Lei Tang, Shuyuan Cao and Lei Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Analytical Chemistry.
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.