Li Su
Impact in
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- Cancer Genomics and Diagnostics
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- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Gene Regulatory Network Analysis
Papers in
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- Single-cell and spatial transcriptomics 5
- Epigenetics and DNA Methylation 4
- Gene expression and cancer classification 2
- RNA modifications and cancer 2
- Co-authors
- Yuhua Zhao (1 shared paper)Yasmeen Gul (1 shared paper)Weimin Wang (1 shared paper)Dong Xu (7 shared papers)Yuzhou Chang (3 shared papers)David C. Christiani (2 shared papers)Juexin Wang (4 shared papers)Qin Ma (4 shared papers)
- Journals
- Nature Communications (2 papers)Reproductive Sciences (2 papers)Frontiers in Plant Science (1 paper)Journal of Clinical Oncology (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Li Su
22 papers receiving 456 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 61
- Molecular Biology 273
- Aquatic Science 27
- Biophysics 20
- Immunology 46
Countries citing papers authored by Li Su
This map shows the geographic impact of Li Su'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 Li Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Su more than expected).
Fields of papers citing papers by Li Su
This network shows the impact of papers produced by Li Su. 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 Li Su. The network helps show where Li Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Su, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 103 | |
| 2 | 2009 | 101 | |
| 3 | 2011 | 62 | |
| 4 | 2022 | 36 | |
| 5 | 2012 | 27 | |
| 6 | 2009 | 23 | |
| 7 | 2023 | 18 | |
| 8 | 2018 | 18 | |
| 9 | 2016 | 16 | |
| 10 | 2011 | 15 | |
| 11 | 2021 | 11 | |
| 12 | 2022 | 5 | |
| 13 | [Comparison between early outbreak detection models and simulated outbreaks of measles in Beijing]. | 2009 | 5 |
| 14 | 2021 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2012 | 1 |
About Li Su
Li Su is a scholar working on Molecular Biology, Artificial Intelligence, Epidemiology, Infectious Diseases and Computer Networks and Communications, having authored 27 papers that have together received 459 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (4 papers), Gene expression and cancer classification (2 papers), Cell Image Analysis Techniques (2 papers), Network Security and Intrusion Detection (2 papers), Data-Driven Disease Surveillance (2 papers), Tuberculosis Research and Epidemiology (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (61 citations), Molecular Biology (273 citations), Aquatic Science (27 citations), Biophysics (20 citations) and Immunology (46 citations). Li Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuhua Zhao, Yasmeen Gul, Weimin Wang, Dong Xu, Yuzhou Chang, David C. Christiani, Juexin Wang, Qin Ma, Vidar Skaug and Michael C. Wu. Their work appears in journals such as Nature Communications, Reproductive Sciences, Frontiers in Plant Science, Journal of Clinical Oncology and Journal of Biomedical Informatics.
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.