Beibei Wang
Impact in
- Molecular Medicine top 10%
- Biochemistry top 10%
- Sulfur Compounds in Biology
Papers in
-
- Protein Structure and Dynamics 11
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 3
- RNA Research and Splicing 3
- Ecology 9
- Co-authors
- Michael Feig (6 shared papers)Wenning Wang (6 shared papers)Jingwei Weng (6 shared papers)Zachary F. Burton (3 shared papers)Linshan Liu (1 shared paper)Shicheng Li (1 shared paper)Mingjun Ding (1 shared paper)Xitao Liu (4 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Bioinformatics (2 papers)Ecotoxicology and Environmental Safety (2 papers)Frontiers in Microbiology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Beibei Wang
44 papers receiving 736 citations
Peers
Comparison fields: 5 of 101
- Molecular Medicine 46
- Biochemistry 67
- Health, Toxicology and Mutagenesis 125
- Pollution 100
- Analytical Chemistry 64
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
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2019 | 67 | |
| 3 | 2015 | 60 | |
| 4 | 2017 | 57 | |
| 5 | 2021 | 47 | |
| 6 | 2020 | 34 | |
| 7 | 2023 | 31 | |
| 8 | 2013 | 29 | |
| 9 | 2015 | 28 | |
| 10 | 2021 | 26 | |
| 11 | 2024 | 24 | |
| 12 | 2014 | 23 | |
| 13 | 2012 | 23 | |
| 14 | 2023 | 21 | |
| 15 | 2013 | 20 | |
| 16 | 2015 | 18 | |
| 17 | 2017 | 16 | |
| 18 | 2011 | 14 | |
| 19 | 2023 | 12 | |
| 20 | 2015 | 12 |
About Beibei Wang
Beibei Wang is a scholar working on Molecular Biology, Ecology, Genetics, Health, Toxicology and Mutagenesis and Spectroscopy, having authored 47 papers that have together received 750 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Heavy Metal Exposure and Toxicity (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), Virus-based gene therapy research (3 papers), RNA Research and Splicing (3 papers), Air Quality and Health Impacts (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Molecular Medicine (46 citations), Biochemistry (67 citations), Health, Toxicology and Mutagenesis (125 citations), Pollution (100 citations) and Analytical Chemistry (64 citations). Beibei Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Michael Feig, Wenning Wang, Jingwei Weng, Zachary F. Burton, Linshan Liu, Shicheng Li, Mingjun Ding, Xitao Liu, Junwei Ma and D. Peter Tieleman. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Ecotoxicology and Environmental Safety, Frontiers in Microbiology 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.