Lei Mi
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Advanced Glycation End Products research
Papers in
-
- RNA modifications and cancer 2
- TGF-β signaling in diseases 2
-
- MicroRNA in disease regulation 4
- Co-authors
- Zhu Wang (3 shared papers)Xing Jin (2 shared papers)Jingjing Guo (1 shared paper)Xiao Zheng (2 shared papers)Xuejun Wu (1 shared paper)Wen‐Ming Wang (1 shared paper)Yu Gao (1 shared paper)Hui Miao (1 shared paper)
In The Last Decade
Lei Mi
28 papers receiving 390 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 64
- Clinical Biochemistry 24
- Nephrology 22
- Pulmonary and Respiratory Medicine 83
- Molecular Biology 166
Countries citing papers authored by Lei Mi
This map shows the geographic impact of Lei Mi'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 Lei Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Mi more than expected).
Fields of papers citing papers by Lei Mi
This network shows the impact of papers produced by Lei Mi. 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 Lei Mi. The network helps show where Lei Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Mi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2019 | 53 | |
| 3 | 2017 | 41 | |
| 4 | 2020 | 38 | |
| 5 | Association of serum uric acid levels with the progression of Parkinson's disease in Chinese patients. | 2012 | 24 |
| 6 | 1999 | 22 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 2020 | 11 | |
| 12 | [Effect of early oral enteral nutrition on clinical outcomes after gastric cancer surgery]. | 2012 | 10 |
| 13 | 2012 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2012 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2025 | 3 |
About Lei Mi
Lei Mi is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 33 papers that have together received 395 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Nutrition and Health in Aging (3 papers), Pancreatitis Pathology and Treatment (2 papers), Cancer Cells and Metastasis (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers), RNA modifications and cancer (2 papers), Bone fractures and treatments (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cancer Research (64 citations), Clinical Biochemistry (24 citations), Nephrology (22 citations), Pulmonary and Respiratory Medicine (83 citations) and Molecular Biology (166 citations). Lei Mi has collaborated with scholars based in China, Tunisia and Canada. Frequent co-authors include Zhu Wang, Xing Jin, Jingjing Guo, Xiao Zheng, Xuejun Wu, Wen‐Ming Wang, Yu Gao, Hui Miao, Xia Zhang and Ying Zhang. Their work appears in journals such as Bioscience Reports, Horticulturae, Oncology Reports, International Journal of Biological Macromolecules and Advances in Clinical and Experimental Medicine.
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.