Beibei Wang
Impact in
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- Receptor Mechanisms and Signaling
- CRISPR and Genetic Engineering
- Ubiquitin and proteasome pathways
- Pluripotent Stem Cells Research
- Renal and related cancers
- Protein Kinase Regulation and GTPase Signaling
- Epigenetics and DNA Methylation
Papers in
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- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 2
- Renal and related cancers 1
- Protein Kinase Regulation and GTPase Signaling 1
- Genetics 2
- Co-authors
- Weicheng Wang (1 shared paper)Huiming Xu (1 shared paper)Acong Yang (1 shared paper)Hongyao Yu (1 shared paper)Chunliang Li (1 shared paper)Ying Jin (1 shared paper)Hua Gao (1 shared paper)Ping Wang (1 shared paper)
- Journals
- Scientific Reports (1 paper)Wiley Interdisciplinary Reviews - RNA (1 paper)Cell Research (1 paper)Nature Communications (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Beibei Wang
8 papers receiving 304 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 267
- Cancer Research 39
- Cellular and Molecular Neuroscience 41
- Oncology 48
- Cell Biology 26
Countries citing papers authored by Beibei Wang
This map shows the geographic impact of Beibei Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Wang more than expected).
Fields of papers citing papers by Beibei Wang
This network shows the impact of papers produced by Beibei Wang. 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 Wang. The network helps show where Beibei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 120 | |
| 2 | 2009 | 110 | |
| 3 | 2021 | 37 | |
| 4 | 2022 | 18 | |
| 5 | 2019 | 13 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 |
About Beibei Wang
Beibei Wang is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 306 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), Pancreatic function and diabetes (1 paper), Cancer, Lipids, and Metabolism (1 paper), Renal and related cancers (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Molecular Biology (267 citations), Cancer Research (39 citations), Cellular and Molecular Neuroscience (41 citations), Oncology (48 citations) and Cell Biology (26 citations). Beibei Wang has collaborated with scholars based in China and United States. Frequent co-authors include Weicheng Wang, Huiming Xu, Acong Yang, Hongyao Yu, Chunliang Li, Ying Jin, Hua Gao, Ping Wang, Lin-hua Qin and Lan Ma. Their work appears in journals such as Scientific Reports, Wiley Interdisciplinary Reviews - RNA, Cell Research, Nature Communications and Journal of Biological 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.