Junlin Xu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Computational Drug Discovery Methods
Papers in
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- Machine Learning in Bioinformatics 11
- Single-cell and spatial transcriptomics 10
- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 4
- Circular RNAs in diseases 4
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- Computational Drug Discovery Methods 13
- Co-authors
- Yajie Meng (23 shared papers)Jialiang Yang (19 shared papers)Lijun Cai (7 shared papers)Xianfang Tang (12 shared papers)Wen Zhu (4 shared papers)Geng Tian (12 shared papers)Changcheng Lu (6 shared papers)Bo Liao (2 shared papers)
- Journals
- IEEE Access (5 papers)Journal of Chemical Information and Modeling (4 papers)Frontiers in Genetics (4 papers)Engineering Applications of Artificial Intelligence (2 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Junlin Xu
49 papers receiving 785 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 199
- Computational Theory and Mathematics 159
- Molecular Biology 476
- Biophysics 32
- Artificial Intelligence 78
Countries citing papers authored by Junlin Xu
This map shows the geographic impact of Junlin 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 Junlin Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlin Xu more than expected).
Fields of papers citing papers by Junlin Xu
This network shows the impact of papers produced by Junlin 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 Junlin Xu. The network helps show where Junlin Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlin 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2021 | 69 | |
| 3 | 2023 | 67 | |
| 4 | 2021 | 54 | |
| 5 | 2020 | 45 | |
| 6 | 2018 | 40 | |
| 7 | 2019 | 37 | |
| 8 | 2021 | 30 | |
| 9 | 2022 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2018 | 25 | |
| 12 | 2022 | 22 | |
| 13 | 2023 | 20 | |
| 14 | 2022 | 20 | |
| 15 | 2021 | 19 | |
| 16 | 2022 | 16 | |
| 17 | 2014 | 16 | |
| 18 | 2024 | 13 | |
| 19 | 2025 | 13 | |
| 20 | 2019 | 12 |
About Junlin Xu
Junlin Xu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Infectious Diseases and Artificial Intelligence, having authored 54 papers that have together received 791 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Cancer-related molecular mechanisms research (12 papers), Machine Learning in Bioinformatics (11 papers), Single-cell and spatial transcriptomics (10 papers), MicroRNA in disease regulation (9 papers), Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (199 citations), Computational Theory and Mathematics (159 citations), Molecular Biology (476 citations), Biophysics (32 citations) and Artificial Intelligence (78 citations). Junlin Xu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yajie Meng, Jialiang Yang, Lijun Cai, Xianfang Tang, Wen Zhu, Geng Tian, Changcheng Lu, Bo Liao, Min Jin and Lihong Peng. Their work appears in journals such as IEEE Access, Journal of Chemical Information and Modeling, Frontiers in Genetics, Engineering Applications of Artificial Intelligence and Frontiers in Microbiology.
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.