Beibei Wang
Impact in
- Biochemistry top 10%
- Sulfur Compounds in Biology
-
- Heavy Metal Exposure and Toxicity
Papers in
-
- Protein Structure and Dynamics 9
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
- DNA and Nucleic Acid Chemistry 3
- DNA Repair Mechanisms 2
- Ecology 9
- Co-authors
- Michael Feig (6 shared papers)Wenning Wang (6 shared papers)Jingwei Weng (6 shared papers)Mingjun Ding (1 shared paper)Shicheng Li (1 shared paper)Linshan Liu (1 shared paper)Zachary F. Burton (3 shared papers)Xitao Liu (4 shared papers)
- Journals
- Bioinformatics (2 papers)Ecotoxicology and Environmental Safety (2 papers)Proteins Structure Function and Bioinformatics (2 papers)Frontiers in Microbiology (2 papers)Cell Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Beibei Wang
45 papers receiving 797 citations
Peers
Comparison fields: 5 of 100
- Biochemistry 69
- Health, Toxicology and Mutagenesis 130
- Pollution 106
- Molecular Medicine 43
- 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2019 | 70 | |
| 3 | 2015 | 63 | |
| 4 | 2017 | 62 | |
| 5 | 2021 | 49 | |
| 6 | 2015 | 37 | |
| 7 | 2020 | 36 | |
| 8 | 2023 | 31 | |
| 9 | 2021 | 30 | |
| 10 | 2013 | 29 | |
| 11 | 2024 | 28 | |
| 12 | 2023 | 25 | |
| 13 | 2014 | 23 | |
| 14 | 2012 | 23 | |
| 15 | 2013 | 20 | |
| 16 | 2015 | 18 | |
| 17 | 2017 | 16 | |
| 18 | 2011 | 14 | |
| 19 | 2015 | 13 | |
| 20 | 2023 | 12 |
About Beibei Wang
Beibei Wang is a scholar working on Molecular Biology, Ecology, Genetics, Spectroscopy and Health, Toxicology and Mutagenesis, having authored 48 papers that have together received 805 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers), Enzyme Structure and Function (3 papers), Bacterial Genetics and Biotechnology (3 papers), Heavy Metal Exposure and Toxicity (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Biochemistry (69 citations), Health, Toxicology and Mutagenesis (130 citations), Pollution (106 citations), Molecular Medicine (43 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, Mingjun Ding, Shicheng Li, Linshan Liu, Zachary F. Burton, Xitao Liu, D. Peter Tieleman and Yanzhong Liu. Their work appears in journals such as Bioinformatics, Ecotoxicology and Environmental Safety, Proteins Structure Function and Bioinformatics, Frontiers in Microbiology and Cell Research.
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.