Simon Li
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Genetics, Bioinformatics, and Biomedical Research 2
- Single-cell and spatial transcriptomics 2
-
- Cell Image Analysis Techniques 6
- Advanced Fluorescence Microscopy Techniques 2
- Co-authors
- Josh Moore (4 shared papers)Jason R. Swedlow (4 shared papers)Gus Ferguson (3 shared papers)Aleksandra Tarkowska (3 shared papers)Anatole Chessel (1 shared paper)Simone Leo (1 shared paper)Alvis Brāzma (1 shared paper)Bálint Antal (1 shared paper)
- Journals
- Nature Methods (1 paper)Clinical Neuropharmacology (1 paper)PLoS ONE (1 paper)Journal of Molecular Biology (1 paper)Mammalian Genome (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Simon Li
15 papers receiving 429 citations
Peers
Comparison fields: 5 of 101
- Biophysics 150
- Structural Biology 11
- Health Informatics 7
- Information Systems and Management 31
- Media Technology 28
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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 160 | |
| 2 | 2005 | 72 | |
| 3 | 2014 | 47 | |
| 4 | 2012 | 35 | |
| 5 | 2015 | 28 | |
| 6 | 2019 | 27 | |
| 7 | 2005 | 23 | |
| 8 | 2015 | 20 | |
| 9 | 2014 | 12 | |
| 10 | 2011 | 7 | |
| 11 | 2005 | 4 | |
| 12 | 2008 | 3 | |
| 13 | 2010 | 1 | |
| 14 | 2024 | 1 | |
| 15 | Abstract 11306: Red Yeast Rice Extract Shows Equivalency to Statins | 2013 | 1 |
About Simon Li
Simon Li is a scholar working on Molecular Biology, Biophysics, Computer Vision and Pattern Recognition, Artificial Intelligence and Biotechnology, having authored 15 papers that have together received 441 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Microbial Metabolism and Applications (2 papers), AI in cancer detection (2 papers), COVID-19 diagnosis using AI (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (150 citations), Structural Biology (11 citations), Health Informatics (7 citations), Information Systems and Management (31 citations) and Media Technology (28 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, Anatole Chessel, Simone Leo, Alvis Brāzma, Bálint Antal, Gabriella Rustici and Eleanor Williams. Their work appears in journals such as Nature Methods, Clinical Neuropharmacology, PLoS ONE, Journal of Molecular Biology and Mammalian Genome.
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.