Xiaojun Xu
- Infectious Diseases top 2%
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 33
- RNA Research and Splicing 25
- RNA modifications and cancer 19
- DNA and Nucleic Acid Chemistry 11
- Protein Structure and Dynamics 10
- RNA Interference and Gene Delivery 7
- Oncology top 10%
- Neurology top 5%
- Immunology top 10%
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- Computational Drug Discovery Methods 14
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- Nanopore and Nanochannel Transport Studies 7
- Co-authors
- Shi‐Jie ChenZhe‐Sheng ChenKun ZhaoHan ZhangYehuda G. AssarafWen LiDong‐Hua YangJinbing Xie
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (2 papers)Nucleic Acids Research (4 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Xiaojun Xu
89 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Infectious Diseases 755
- Molecular Biology 1.5k
- Oncology 424
- Neurology 220
- Immunology 236
Countries citing papers authored by Xiaojun Xu
This map shows the geographic impact of Xiaojun 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 Xiaojun Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Xu more than expected).
Fields of papers citing papers by Xiaojun Xu
This network shows the impact of papers produced by Xiaojun 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 Xiaojun Xu. The network helps show where Xiaojun Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaojun 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 18 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 16 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 2 | |
| 18 | 2019 | 5 | |
| 19 | Can you fool AI with adversarial examples on a visual Turing test | 2017 | 13 |
| 20 | 2015 | 34 |
About Xiaojun Xu
Xiaojun Xu is a scholar working on Computational Theory and Mathematics, Molecular Biology and Virology, having authored 94 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (33 papers), RNA Research and Splicing (25 papers), RNA modifications and cancer (19 papers), Computational Drug Discovery Methods (14 papers), DNA and Nucleic Acid Chemistry (11 papers), Protein Structure and Dynamics (10 papers), RNA Interference and Gene Delivery (7 papers) and Nanopore and Nanochannel Transport Studies (7 papers). The work is most often cited by research in Infectious Diseases (755 citations), Molecular Biology (1.5k citations) and Oncology (424 citations). Xiaojun Xu has collaborated with scholars based in China, United States and India. Frequent co-authors include Shi‐Jie Chen, Zhe‐Sheng Chen, Kun Zhao, Han Zhang, Yehuda G. Assaraf, Wen Li, Dong‐Hua Yang, Jinbing Xie, Bjoern Peters and Alessandro Sette. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.