Simon Li
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 10%
Papers in
-
- Cell Image Analysis Techniques 8
- Advanced Fluorescence Microscopy Techniques 2
-
- Scientific Computing and Data Management 3
- Co-authors
- Josh Moore (4 shared papers)Jason R. Swedlow (4 shared papers)Gus Ferguson (3 shared papers)Aleksandra Tarkowska (3 shared papers)Eleanor M. Williams (1 shared paper)Rafael E. Carazo Salas (1 shared paper)Bálint Antal (1 shared paper)Uğis Sarkans (1 shared paper)
- Journals
- Critical Care (1 paper)Archives of Pediatrics and Adolescent Medicine (1 paper)Journal of clinical lipidology (1 paper)Mammalian Genome (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Simon Li
18 papers receiving 540 citations
Peers
Comparison fields: 5 of 106
- Biophysics 207
- Structural Biology 15
- Information Systems and Management 55
- Health Informatics 8
- Molecular Biology 255
Countries citing papers authored by Simon Li
This map shows the geographic impact of Simon Li'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 Simon Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Li more than expected).
Fields of papers citing papers by Simon Li
This network shows the impact of papers produced by Simon Li. 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 Simon Li. The network helps show where Simon Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Li, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 200 | |
| 2 | 2005 | 74 | |
| 3 | 2014 | 52 | |
| 4 | 2015 | 39 | |
| 5 | 2012 | 38 | |
| 6 | 2019 | 34 | |
| 7 | 2015 | 33 | |
| 8 | 2005 | 26 | |
| 9 | 2015 | 19 | |
| 10 | 2014 | 13 | |
| 11 | 2011 | 9 | |
| 12 | 2005 | 4 | |
| 13 | 2008 | 3 | |
| 14 | 2011 | 2 | |
| 15 | 2026 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2010 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2011 | 0 |
About Simon Li
Simon Li is a scholar working on Biophysics, Information Systems and Management, Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 21 papers that have together received 552 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (8 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Scientific Computing and Data Management (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), AI in cancer detection (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Biophysics (207 citations), Structural Biology (15 citations), Information Systems and Management (55 citations), Health Informatics (8 citations) and Molecular Biology (255 citations). Simon Li has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Josh Moore, Jason R. Swedlow, Gus Ferguson, Aleksandra Tarkowska, Eleanor M. Williams, Rafael E. Carazo Salas, Bálint Antal, Uğis Sarkans, Alvis Brāzma and Simone Leo. Their work appears in journals such as Critical Care, Archives of Pediatrics and Adolescent Medicine, Journal of clinical lipidology, Mammalian Genome and Journal of Molecular 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.