Xichen Lian
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Single-cell and spatial transcriptomics 3
- Bioinformatics and Genomic Networks 2
- Metabolomics and Mass Spectrometry Studies 2
- Machine Learning in Bioinformatics 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Feng Zhu (12 shared papers)Yunqing Qiu (5 shared papers)Fengcheng Li (5 shared papers)Ying Zhou (6 shared papers)Yintao Zhang (6 shared papers)Yu Chen (1 shared paper)Chaoxin Wang (1 shared paper)Huaicheng Sun (4 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Briefings in Bioinformatics (3 papers)Advanced Science (2 papers)Engineering (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xichen Lian
14 papers receiving 858 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Computational Theory and Mathematics 269
- Pharmacology 100
- Health Informatics 13
- Cancer Research 114
- Molecular Biology 507
Countries citing papers authored by Xichen Lian
This map shows the geographic impact of Xichen Lian'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 Xichen Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xichen Lian more than expected).
Fields of papers citing papers by Xichen Lian
This network shows the impact of papers produced by Xichen Lian. 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 Xichen Lian. The network helps show where Xichen Lian may publish in the future.
Co-authors
The 25 scholars most cited alongside Xichen Lian, 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 | Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents Hit paper breakdown → | 2021 | 417 |
| 2 | 2021 | 114 | |
| 3 | 2023 | 72 | |
| 4 | 2021 | 63 | |
| 5 | 2021 | 56 | |
| 6 | 2023 | 38 | |
| 7 | 2023 | 34 | |
| 8 | 2021 | 31 | |
| 9 | 2023 | 22 | |
| 10 | 2022 | 12 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 |
About Xichen Lian
Xichen Lian is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Cancer Research and Organic Chemistry, having authored 14 papers that have together received 864 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Single-cell and spatial transcriptomics (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Cell Image Analysis Techniques (2 papers), Synthesis and biological activity (2 papers), Bioinformatics and Genomic Networks (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (269 citations), Pharmacology (100 citations), Health Informatics (13 citations), Cancer Research (114 citations) and Molecular Biology (507 citations). Xichen Lian has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Feng Zhu, Yunqing Qiu, Fengcheng Li, Ying Zhou, Yintao Zhang, Yu Chen, Chaoxin Wang, Huaicheng Sun, Ying Zhang and Jing Tang. Their work appears in journals such as Nucleic Acids Research, Briefings in Bioinformatics, Advanced Science, Engineering and Nature Communications.
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.