Peng Wei
- Genetics top 2%
- Genetic Associations and Epidemiology 30
- Genetic Mapping and Diversity in Plants and Animals 14
- Cancer Research top 5%
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 11
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 20
- RNA modifications and cancer 12
- Gene expression and cancer classification 12
- Hematology top 5%
- Genetics top 5%
- Genetic Associations and Epidemiology 30
- Genetic Mapping and Diversity in Plants and Animals 14
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- Liver Disease Diagnosis and Treatment 13
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Peng Wei
165 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Genetics 984
- Cancer Research 405
- Molecular Biology 1.5k
- Hematology 202
- Genetics 182
Countries citing papers authored by Peng Wei
This map shows the geographic impact of Peng Wei'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 Peng Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Wei more than expected).
Fields of papers citing papers by Peng Wei
This network shows the impact of papers produced by Peng Wei. 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 Peng Wei. The network helps show where Peng Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peng Wei, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 34 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 33 | |
| 17 | 2020 | 23 | |
| 18 | 2018 | 29 | |
| 19 | Genotyping for Kidd, Kell, Duffy, Scianna, and RHCE blood group antigens polymorphisms in Jiangsu Chinese Han. | 2012 | 21 |
| 20 | Identification of SSR markers linked to a genic multiple-allele male sterile gene in Chinese cabbage. | 2009 | 2 |
About Peng Wei
Peng Wei is a scholar working on Otorhinolaryngology, Cancer Research, Genetics, Molecular Biology and Statistics and Probability, having authored 178 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (30 papers), Bioinformatics and Genomic Networks (20 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers), Liver Disease Diagnosis and Treatment (13 papers), RNA modifications and cancer (12 papers), MicroRNA in disease regulation (12 papers), Gene expression and cancer classification (12 papers) and Cancer-related molecular mechanisms research (11 papers). The work is most often cited by research in Genetics (984 citations), Cancer Research (405 citations), Molecular Biology (1.5k citations), Hematology (202 citations) and Genetics (182 citations). Peng Wei has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Wei Pan, Eric Boerwinkle, Xiaoming Liu, Richard A. Gibbs, Kai Wang, Caixia Dong, Jian Xiao, Donghui Li, Yixun Liu and Junghi Kim. Their work appears in journals such as Genetic Epidemiology, Animals, Cancer Prevention Research, International Journal of Molecular Sciences and Bioinformatics.
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.