Yi Lei
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Immune cells in cancer
- Reproductive System and Pregnancy
Papers in
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- Genomics and Phylogenetic Studies 3
- RNA Research and Splicing 3
- Circular RNAs in diseases 3
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Xue Li (1 shared paper)Nan Li (1 shared paper)Haihua Zhong (1 shared paper)Hua Li (1 shared paper)Shunping He (7 shared papers)Liandong Yang (8 shared papers)Chunxia Jiang (1 shared paper)Ying Miao (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (2 papers)Reproductive Sciences (2 papers)BioMed Research International (2 papers)Diabetes (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yi Lei
40 papers receiving 693 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 278
- Immunology 156
- Molecular Biology 391
- Obstetrics and Gynecology 41
- Biological Psychiatry 10
Countries citing papers authored by Yi Lei
This map shows the geographic impact of Yi Lei'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 Yi Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Lei more than expected).
Fields of papers citing papers by Yi Lei
This network shows the impact of papers produced by Yi Lei. 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 Yi Lei. The network helps show where Yi Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Lei, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 230 | |
| 2 | 2019 | 45 | |
| 3 | 2019 | 43 | |
| 4 | 2018 | 39 | |
| 5 | 2019 | 39 | |
| 6 | 2013 | 26 | |
| 7 | 2018 | 23 | |
| 8 | 2016 | 23 | |
| 9 | 2018 | 18 | |
| 10 | 2017 | 14 | |
| 11 | 2021 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2014 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2023 | 8 |
About Yi Lei
Yi Lei is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Oncology, having authored 45 papers that have together received 704 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Hormonal Regulation and Hypertension (4 papers), Physiological and biochemical adaptations (3 papers), Genomics and Phylogenetic Studies (3 papers), RNA Research and Splicing (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (278 citations), Immunology (156 citations), Molecular Biology (391 citations), Obstetrics and Gynecology (41 citations) and Biological Psychiatry (10 citations). Yi Lei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xue Li, Nan Li, Haihua Zhong, Hua Li, Shunping He, Liandong Yang, Chunxia Jiang, Ying Miao, Wenqi Lv and Rui Jiang. Their work appears in journals such as International Journal of Biological Macromolecules, Reproductive Sciences, BioMed Research International, Diabetes and Journal of Cellular Physiology.
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.