Liping Wei
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Endocrinology top 0.5%
Papers in
- Genetics 33
- Genetics and Neurodevelopmental Disorders 15
- Genomics and Rare Diseases 10
- Genomic variations and chromosomal abnormalities 10
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- RNA and protein synthesis mechanisms 13
- Genomics and Phylogenetic Studies 13
- Bioinformatics and Genomic Networks 10
- RNA Research and Splicing 9
- Journals
- Nucleic Acids Research (12 papers)PLoS Computational Biology (5 papers)Genome Research (4 papers)Scientific Reports (3 papers)Cell Research (3 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Liping Wei
92 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Cancer Research 3.0k
- Endocrinology 640
- Molecular Biology 7.1k
- Plant Science 3.5k
- Genetics 1.9k
Countries citing papers authored by Liping Wei
This map shows the geographic impact of Liping 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 Liping Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liping Wei more than expected).
Fields of papers citing papers by Liping Wei
This network shows the impact of papers produced by Liping 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 Liping Wei. The network helps show where Liping Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liping 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 | 0 | |
| 2 | 2020 | 8 | |
| 3 | Autism prevalence in China is comparable to Western prevalence Hit paper breakdown → | 2019 | 188 |
| 4 | 2019 | 47 | |
| 5 | 2017 | 8 | |
| 6 | 2017 | 28 | |
| 7 | 2014 | 66 | |
| 8 | 2012 | 55 | |
| 9 | 2012 | 116 | |
| 10 | 2012 | 36 | |
| 11 | 2011 | 143 | |
| 12 | 2011 | 155 | |
| 13 | 2008 | 45 | |
| 14 | 2007 | 67 | |
| 15 | CPC: assess the protein-coding potential of transcripts using sequence features and support vector machine Hit paper breakdown → | 2007 | 2132 |
| 16 | 2006 | 97 | |
| 17 | 2004 | 29 | |
| 18 | 2002 | 8 | |
| 19 | Comparative genomics approaches to study organism similarities and differences | 2002 | 32 |
| 20 | 1999 | 28 |
About Liping Wei
Liping Wei is a scholar working on Genetics, Molecular Biology, Cancer Research, Plant Science and Cognitive Neuroscience, having authored 96 papers that have together received 11.7k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (15 papers), RNA and protein synthesis mechanisms (13 papers), Genomics and Phylogenetic Studies (13 papers), Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (10 papers), Chromosomal and Genetic Variations (10 papers), Bioinformatics and Genomic Networks (10 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Cancer Research (3.0k citations), Endocrinology (640 citations), Molecular Biology (7.1k citations), Plant Science (3.5k citations) and Genetics (1.9k citations). Liping Wei has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Ge Gao, Lei Kong, Jianmin Wu, Xizeng Mao, Chuan‐Yun Li, Chen Xie, Jiaju Huang, Shan Dong, Yang Ding and Zhiqiang Ye. Their work appears in journals such as Nucleic Acids Research, PLoS Computational Biology, Genome Research, Scientific Reports 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.