Xiaoli Lin
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 12
- Machine Learning in Bioinformatics 8
- Bioinformatics and Genomic Networks 6
- RNA and protein synthesis mechanisms 4
- Chemical Synthesis and Analysis 3
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- Computational Drug Discovery Methods 16
- Co-authors
- Xiaolong Zhang (20 shared papers)Xin Xu (3 shared papers)Desmond Lam (1 shared paper)Qing Ye (2 shared papers)Qianqian Huang (1 shared paper)Shuo Zhang (1 shared paper)Nan Mu (1 shared paper)Wen Siang Lew (1 shared paper)
In The Last Decade
Xiaoli Lin
47 papers receiving 305 citations
Peers
Comparison fields: 5 of 102
- Computational Theory and Mathematics 100
- Molecular Biology 160
- Obstetrics and Gynecology 10
- Plant Science 33
- Artificial Intelligence 28
Countries citing papers authored by Xiaoli Lin
This map shows the geographic impact of Xiaoli Lin'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 Xiaoli Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Lin more than expected).
Fields of papers citing papers by Xiaoli Lin
This network shows the impact of papers produced by Xiaoli Lin. 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 Xiaoli Lin. The network helps show where Xiaoli Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Lin, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 30 | |
| 2 | 2020 | 17 | |
| 3 | 2018 | 17 | |
| 4 | 2014 | 16 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 12 | |
| 7 | 2018 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2025 | 10 | |
| 12 | Guanxi and word-of-mouth | 2003 | 10 |
| 13 | 2009 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2020 | 6 |
About Xiaoli Lin
Xiaoli Lin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Immunology, Plant Science and Obstetrics and Gynecology, having authored 51 papers that have together received 308 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Protein Structure and Dynamics (12 papers), Machine Learning in Bioinformatics (8 papers), Bioinformatics and Genomic Networks (6 papers), RNA and protein synthesis mechanisms (4 papers), Chemical Synthesis and Analysis (3 papers), Machine Learning in Materials Science (3 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (100 citations), Molecular Biology (160 citations), Obstetrics and Gynecology (10 citations), Plant Science (33 citations) and Artificial Intelligence (28 citations). Xiaoli Lin has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Xiaolong Zhang, Xin Xu, Desmond Lam, Qing Ye, Qianqian Huang, Shuo Zhang, Nan Mu, Wen Siang Lew, Huidong Zheng and Hao‐Hong Li. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Frontiers in Immunology, Frontiers in Plant Science, BMC Bioinformatics and BMC Plant Biology.
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.