Beibei Li
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Health Informatics top 10%
Papers in
-
- RNA modifications and cancer 4
- Circular RNAs in diseases 3
- Photosynthetic Processes and Mechanisms 3
- Extracellular vesicles in disease 3
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Neil V. Blough (2 shared papers)Peter L. Gutiérrez (2 shared papers)Dan Yan (4 shared papers)Qiuling Wu (3 shared papers)Hong Mei (3 shared papers)Yang Ding (2 shared papers)Xianxian Li (2 shared papers)Jifeng Chen (2 shared papers)
- Journals
- Frontiers in Plant Science (2 papers)Biochemical and Biophysical Research Communications (2 papers)Food and Bioprocess Technology (2 papers)Respiratory Research (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Beibei Li
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 241
- Health Informatics 13
- Biochemistry 54
- Molecular Biology 605
- Molecular Medicine 42
Countries citing papers authored by Beibei Li
This map shows the geographic impact of Beibei 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 Beibei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Li more than expected).
Fields of papers citing papers by Beibei Li
This network shows the impact of papers produced by Beibei 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 Beibei Li. The network helps show where Beibei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 117 | |
| 2 | 2020 | 108 | |
| 3 | 2019 | 94 | |
| 4 | 1997 | 77 | |
| 5 | 2017 | 70 | |
| 6 | 2018 | 67 | |
| 7 | 2020 | 67 | |
| 8 | 2016 | 59 | |
| 9 | 2018 | 56 | |
| 10 | 2015 | 52 | |
| 11 | 2020 | 47 | |
| 12 | 2019 | 31 | |
| 13 | Predictive role of molecular subtypes in response to neoadjuvant chemotherapy in breast cancer patients in Northeast China. | 2011 | 30 |
| 14 | 2017 | 26 | |
| 15 | 2024 | 25 | |
| 16 | 2015 | 23 | |
| 17 | 2021 | 23 | |
| 18 | 2019 | 22 | |
| 19 | 1999 | 21 | |
| 20 | 2021 | 20 |
About Beibei Li
Beibei Li is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Plant Science and Oncology, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Circular RNAs in diseases (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Cancer Research (241 citations), Health Informatics (13 citations), Biochemistry (54 citations), Molecular Biology (605 citations) and Molecular Medicine (42 citations). Beibei Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Neil V. Blough, Peter L. Gutiérrez, Dan Yan, Qiuling Wu, Hong Mei, Yang Ding, Xianxian Li, Jifeng Chen, Xuanming Tang and Jiaxin Hong. Their work appears in journals such as Frontiers in Plant Science, Biochemical and Biophysical Research Communications, Food and Bioprocess Technology, Respiratory Research and Scientific Reports.
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.