Pei Chen
Impact in
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- Toxic Organic Pollutants Impact
- Water Science and Technology top 5%
- Adsorption and biosorption for pollutant removal
Papers in
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- Toxic Organic Pollutants Impact 11
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- Bioinformatics and Genomic Networks 17
- Gene Regulatory Network Analysis 8
- Co-authors
- Rui Liu (38 shared papers)Jiayuan Zhong (16 shared papers)Luonan Chen (14 shared papers)Kazuyuki Aihara (8 shared papers)Ping’an Peng (9 shared papers)Wei Zheng (1 shared paper)Xiaoli Song (2 shared papers)Chaojie Zhang (1 shared paper)
- Journals
- PLoS ONE (4 papers)PeerJ (4 papers)Briefings in Bioinformatics (4 papers)Scientific Reports (3 papers)Journal of Hazardous Materials (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Pei Chen
160 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 183
- Health, Toxicology and Mutagenesis 263
- Water Science and Technology 221
- Environmental Chemistry 106
- Molecular Biology 721
- Health Informatics 25
Countries citing papers authored by Pei Chen
This map shows the geographic impact of Pei Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei Chen more than expected).
Fields of papers citing papers by Pei Chen
This network shows the impact of papers produced by Pei Chen. 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 Chen. The network helps show where Pei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei Chen, 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 251 | |
| 2 | 2022 | 152 | |
| 3 | 2016 | 139 | |
| 4 | 2017 | 125 | |
| 5 | 2009 | 100 | |
| 6 | 2020 | 97 | |
| 7 | 2014 | 91 | |
| 8 | 2015 | 81 | |
| 9 | 2015 | 72 | |
| 10 | 2008 | 67 | |
| 11 | 2019 | 62 | |
| 12 | 2014 | 61 | |
| 13 | 2016 | 61 | |
| 14 | 2019 | 57 | |
| 15 | 2005 | 55 | |
| 16 | 2018 | 55 | |
| 17 | 2020 | 55 | |
| 18 | 2011 | 54 | |
| 19 | 2018 | 53 | |
| 20 | 2016 | 52 |
About Pei Chen
Pei Chen is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Nephrology, Artificial Intelligence and Signal Processing, having authored 169 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Toxic Organic Pollutants Impact (11 papers), Renal Diseases and Glomerulopathies (8 papers), Gene Regulatory Network Analysis (8 papers), Ecosystem dynamics and resilience (8 papers), Time Series Analysis and Forecasting (5 papers), Machine Learning in Healthcare (5 papers) and Sleep and related disorders (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (263 citations), Water Science and Technology (221 citations), Environmental Chemistry (106 citations), Molecular Biology (721 citations) and Health Informatics (25 citations). Pei Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Rui Liu, Jiayuan Zhong, Luonan Chen, Kazuyuki Aihara, Ping’an Peng, Wei Zheng, Xiaoli Song, Chaojie Zhang, Zhuyu Sun and Michael Robert Hoffmann. Their work appears in journals such as PLoS ONE, PeerJ, Briefings in Bioinformatics, Scientific Reports and Journal of Hazardous Materials.
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.