Pei Wang
Impact in
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection
Papers in
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- Advanced biosensing and bioanalysis techniques 16
- CRISPR and Genetic Engineering 13
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- Biosensors and Analytical Detection 13
- Co-authors
- Song Gao (18 shared papers)Xiaohai Yang (3 shared papers)Kemin Wang (3 shared papers)Qing Wang (3 shared papers)Hui Shen (6 shared papers)Bingzhi Li (5 shared papers)Xing Zhang (5 shared papers)Sheng Liu (7 shared papers)
- Journals
- Sensors and Actuators B Chemical (5 papers)Electrophoresis (4 papers)Acta Biochimica et Biophysica Sinica (3 papers)Aquaculture (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Pei Wang
108 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 743
- Biomedical Engineering 366
- Developmental Neuroscience 34
- Biochemistry 55
- Health, Toxicology and Mutagenesis 100
Countries citing papers authored by Pei Wang
This map shows the geographic impact of Pei 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 Pei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei Wang more than expected).
Fields of papers citing papers by Pei Wang
This network shows the impact of papers produced by Pei 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 Pei Wang. The network helps show where Pei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 91 | |
| 2 | 2014 | 68 | |
| 3 | 2019 | 58 | |
| 4 | 2014 | 56 | |
| 5 | 2013 | 47 | |
| 6 | 2014 | 43 | |
| 7 | 2019 | 41 | |
| 8 | 2022 | 38 | |
| 9 | 2022 | 38 | |
| 10 | 2014 | 34 | |
| 11 | 2018 | 34 | |
| 12 | 2012 | 33 | |
| 13 | 2023 | 32 | |
| 14 | 2022 | 31 | |
| 15 | 2023 | 28 | |
| 16 | 2013 | 27 | |
| 17 | 2020 | 27 | |
| 18 | 2016 | 27 | |
| 19 | 2012 | 27 | |
| 20 | 2021 | 27 |
About Pei Wang
Pei Wang is a scholar working on Molecular Biology, Biomedical Engineering, Immunology, Electrical and Electronic Engineering and Ecology, having authored 118 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), CRISPR and Genetic Engineering (13 papers), Biosensors and Analytical Detection (13 papers), Aquaculture disease management and microbiota (12 papers), GaN-based semiconductor devices and materials (8 papers), Invertebrate Immune Response Mechanisms (7 papers), Bacteriophages and microbial interactions (7 papers) and ZnO doping and properties (5 papers). The work is most often cited by research in Molecular Biology (743 citations), Biomedical Engineering (366 citations), Developmental Neuroscience (34 citations), Biochemistry (55 citations) and Health, Toxicology and Mutagenesis (100 citations). Pei Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Song Gao, Xiaohai Yang, Kemin Wang, Qing Wang, Hui Shen, Bingzhi Li, Xing Zhang, Sheng Liu, Zhiyin Gan and Rui Jiang. Their work appears in journals such as Sensors and Actuators B Chemical, Electrophoresis, Acta Biochimica et Biophysica Sinica, Aquaculture 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.