Weize Xu
Impact in
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- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- CRISPR and Genetic Engineering
Papers in
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- Cancer Genomics and Diagnostics 4
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- Single-cell and spatial transcriptomics 6
- Genomics and Phylogenetic Studies 3
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Da Lin (7 shared papers)Guoliang Li (5 shared papers)Gang Cao (7 shared papers)Zhen Fang Fu (6 shared papers)Jinxia Dai (8 shared papers)Yingying Lei (5 shared papers)Ping Hong (2 shared papers)Zhe Hu (2 shared papers)
- Journals
- Genome biology (3 papers)Nature Communications (3 papers)mSystems (2 papers)Journal of genetics and genomics (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weize Xu
25 papers receiving 574 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 324
- Biophysics 24
- Plant Science 119
- Immunology 59
- Cellular and Molecular Neuroscience 51
Countries citing papers authored by Weize Xu
This map shows the geographic impact of Weize 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 Weize Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weize Xu more than expected).
Fields of papers citing papers by Weize Xu
This network shows the impact of papers produced by Weize 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 Weize Xu. The network helps show where Weize Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weize 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 88 | |
| 2 | 2018 | 67 | |
| 3 | 2019 | 59 | |
| 4 | 2021 | 45 | |
| 5 | 2022 | 43 | |
| 6 | 2024 | 38 | |
| 7 | 2017 | 37 | |
| 8 | 2021 | 35 | |
| 9 | 2022 | 33 | |
| 10 | 2021 | 21 | |
| 11 | 2017 | 17 | |
| 12 | 2020 | 15 | |
| 13 | 2024 | 15 | |
| 14 | 2023 | 13 | |
| 15 | 2017 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2025 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2020 | 4 |
About Weize Xu
Weize Xu is a scholar working on Cancer Research, Molecular Biology, Infectious Diseases, Immunology and Biophysics, having authored 28 papers that have together received 580 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cancer Genomics and Diagnostics (4 papers), Tuberculosis Research and Epidemiology (4 papers), Genomics and Phylogenetic Studies (3 papers), Chromosomal and Genetic Variations (3 papers), Mycobacterium research and diagnosis (2 papers), Genomics and Chromatin Dynamics (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Molecular Biology (324 citations), Biophysics (24 citations), Plant Science (119 citations), Immunology (59 citations) and Cellular and Molecular Neuroscience (51 citations). Weize Xu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Da Lin, Guoliang Li, Gang Cao, Zhen Fang Fu, Jinxia Dai, Yingying Lei, Ping Hong, Zhe Hu, Linqian Han and Gang Cao. Their work appears in journals such as Genome biology, Nature Communications, mSystems, Journal of genetics and genomics and Nucleic Acids 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.