Bei Li
Impact in
- Equine top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Circular RNAs in diseases 6
- Gut microbiota and health 6
- RNA modifications and cancer 4
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 7
- Co-authors
- Zhiyu Li (1 shared paper)Qi Wu (2 shared papers)Shengrong Sun (1 shared paper)Juanjuan Li (1 shared paper)Si Sun (1 shared paper)Manglai Dugarjaviin (17 shared papers)Yiping Zhao (13 shared papers)Dongyi Bai (11 shared papers)
- Journals
- Genes (2 papers)Animals (1 paper)Reproduction Fertility and Development (1 paper)BMC Genetics (1 paper)Animal Reproduction Science (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Bei Li
45 papers receiving 874 citations
Bei Li's Hit Papers
Peers
Comparison fields: 5 of 96
- Equine 35
- Cancer Research 266
- Molecular Biology 431
- Oncology 156
- Immunology 86
Countries citing papers authored by Bei Li
This map shows the geographic impact of Bei Li'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 Bei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Li more than expected).
Fields of papers citing papers by Bei Li
This network shows the impact of papers produced by Bei Li. 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 Bei Li. The network helps show where Bei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Li, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cancer-associated adipocytes: key players in breast cancer progression Hit paper breakdown → | 2019 | 343 |
| 2 | 2018 | 44 | |
| 3 | 2015 | 41 | |
| 4 | 2020 | 32 | |
| 5 | 2017 | 28 | |
| 6 | 2019 | 26 | |
| 7 | 2021 | 25 | |
| 8 | 2019 | 23 | |
| 9 | 2020 | 23 | |
| 10 | 2021 | 22 | |
| 11 | 2016 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2019 | 19 | |
| 14 | 2018 | 17 | |
| 15 | 2019 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2015 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2022 | 10 |
About Bei Li
Bei Li is a scholar working on Molecular Biology, Cancer Research, Genetics, Cell Biology and Epidemiology, having authored 47 papers that have together received 883 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Gut microbiota and health (6 papers), Genetic and phenotypic traits in livestock (5 papers), melanin and skin pigmentation (4 papers), RNA modifications and cancer (4 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Equine (35 citations), Cancer Research (266 citations), Molecular Biology (431 citations), Oncology (156 citations) and Immunology (86 citations). Bei Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhiyu Li, Qi Wu, Shengrong Sun, Juanjuan Li, Si Sun, Manglai Dugarjaviin, Yiping Zhao, Dongyi Bai, Xiaolong He and Xinzhuang Zhang. Their work appears in journals such as Genes, Animals, Reproduction Fertility and Development, BMC Genetics and Animal Reproduction Science.
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.