Tun Xu
Impact in
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- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
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- Genomics and Phylogenetic Studies
- Plant biochemistry and biosynthesis
- Photosynthetic Processes and Mechanisms
- CRISPR and Genetic Engineering
- Plant Gene Expression Analysis
Papers in
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- Genomics and Phylogenetic Studies 6
- Molecular Biology Techniques and Applications 2
- CRISPR and Genetic Engineering 1
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- Chromosomal and Genetic Variations 4
- Co-authors
- Xiaofei Yang (6 shared papers)Peng Jia (5 shared papers)Bo Wang (5 shared papers)Yanyan Jia (4 shared papers)Shenghan Gao (3 shared papers)Songbo Wang (2 shared papers)Quanbin Dong (1 shared paper)Ningxin Dang (1 shared paper)
- Journals
- Cell Genomics (2 papers)Quantitative Biology (1 paper)Nature Methods (1 paper)Fundamental Research (1 paper)Genomics Proteomics & Bioinformatics (1 paper)
- Partner nations
- ChinaNetherlandsMacao
In The Last Decade
Tun Xu
14 papers receiving 243 citations
Peers
Comparison fields: 5 of 66
- Plant Science 106
- Molecular Biology 153
- Pharmacology 28
- Pharmacology 9
- Genetics 28
Countries citing papers authored by Tun Xu
This map shows the geographic impact of Tun Xu'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 Tun Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tun Xu more than expected).
Fields of papers citing papers by Tun Xu
This network shows the impact of papers produced by Tun Xu. 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 Tun Xu. The network helps show where Tun Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tun Xu, 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 | 2021 | 116 | |
| 2 | 2021 | 67 | |
| 3 | 2024 | 11 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 8 | |
| 7 | 2020 | 6 | |
| 8 | Influence of morphine microinjected into head of caudate nucleus on electric activities of nociceptive neurons in parafascicular nucleus of rat thalamus. | 1990 | 6 |
| 9 | 2024 | 4 | |
| 10 | 2023 | 3 | |
| 11 | The simultaneous discharges of two neurons in N. Pf and RF and the influences on them by stimulating central gray matter. | 1984 | 3 |
| 12 | 2023 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2011 | 1 | |
| 15 | 2026 | 0 | |
| 16 | 2026 | 0 |
About Tun Xu
Tun Xu is a scholar working on Molecular Biology, Plant Science, Genetics, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 248 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (4 papers), Genetic diversity and population structure (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Molecular Biology Techniques and Applications (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Lung Cancer Research Studies (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Plant Science (106 citations), Molecular Biology (153 citations), Pharmacology (28 citations), Pharmacology (9 citations) and Genetics (28 citations). Tun Xu has collaborated with scholars based in China, Netherlands and Macao. Frequent co-authors include Xiaofei Yang, Peng Jia, Bo Wang, Yanyan Jia, Shenghan Gao, Songbo Wang, Quanbin Dong, Ningxin Dang, Kai Ye and Yu Xu. Their work appears in journals such as Cell Genomics, Quantitative Biology, Nature Methods, Fundamental Research and Genomics Proteomics & 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.