Chunli Xia
Impact in
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
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- Cancer-related molecular mechanisms research
Papers in
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- Cholinesterase and Neurodegenerative Diseases 7
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- Epigenetics and DNA Methylation 3
- Cell death mechanisms and regulation 2
- RNA modifications and cancer 2
- Co-authors
- Jichang Li (4 shared papers)Zhi‐Shu Huang (5 shared papers)Chunli Chen (3 shared papers)Muhammad Ishfaq (2 shared papers)Jian Wang (1 shared paper)Liang Xu (1 shared paper)Shi‐Liang Huang (4 shared papers)Tian‐Miao Ou (3 shared papers)
In The Last Decade
Chunli Xia
13 papers receiving 353 citations
Peers
Comparison fields: 5 of 68
- Pharmacology 86
- Cancer Research 47
- Computational Theory and Mathematics 55
- Molecular Biology 188
- Physiology 61
Countries citing papers authored by Chunli Xia
This map shows the geographic impact of Chunli Xia'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 Chunli Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunli Xia more than expected).
Fields of papers citing papers by Chunli Xia
This network shows the impact of papers produced by Chunli Xia. 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 Chunli Xia. The network helps show where Chunli Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunli Xia, 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 | 2019 | 116 | |
| 2 | 2014 | 54 | |
| 3 | 2018 | 49 | |
| 4 | 2018 | 30 | |
| 5 | 2017 | 23 | |
| 6 | 2016 | 18 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2015 | 11 | |
| 10 | [Induced expression of alpha-toxin gene of Clostridium perfringens in recombinant Lactobacillus casei and their immunoprotective in mice]. | 2009 | 7 |
| 11 | 2018 | 7 | |
| 12 | 2025 | 3 | |
| 13 | [The surface display of porcine parvovirus VP2 protein in Lactobacillus casei]. | 2007 | 2 |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Chunli Xia
Chunli Xia is a scholar working on Pharmacology, Molecular Biology, Epidemiology, Physiology and Computational Theory and Mathematics, having authored 15 papers that have together received 356 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (7 papers), Alzheimer's disease research and treatments (4 papers), Epigenetics and DNA Methylation (3 papers), Computational Drug Discovery Methods (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Cell death mechanisms and regulation (2 papers), Autophagy in Disease and Therapy (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Pharmacology (86 citations), Cancer Research (47 citations), Computational Theory and Mathematics (55 citations), Molecular Biology (188 citations) and Physiology (61 citations). Chunli Xia has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Jichang Li, Zhi‐Shu Huang, Chunli Chen, Muhammad Ishfaq, Jian Wang, Liang Xu, Shi‐Liang Huang, Tian‐Miao Ou, Jia‐Heng Tan and You‐Kai Xu. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Journal of Medical Internet Research, Toxicology and Current Alzheimer 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.