Felix Wong
- Microbiology top 5%
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 4
- Health Informatics top 10%
- Modeling and Simulation top 5%
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- Bacterial Genetics and Biotechnology 6
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- Gene Regulatory Network Analysis 5
- Bacterial biofilms and quorum sensing 5
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 3
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- Bacteriophages and microbial interactions 3
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- Computational Drug Discovery Methods 3
- Co-authors
- James J. CollinsJeremy GunawardenaCésar de la Fuente‐NúñezAriel AmirLars D. RennerAngela H. DePaceErica J. ZhengJavier Estrada
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Felix Wong
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Microbiology 126
- Molecular Medicine 100
- Health Informatics 20
- Modeling and Simulation 63
- Applied Microbiology and Biotechnology 26
Countries citing papers authored by Felix Wong
This map shows the geographic impact of Felix Wong'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 Felix Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Wong more than expected).
Fields of papers citing papers by Felix Wong
This network shows the impact of papers produced by Felix Wong. 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 Felix Wong. The network helps show where Felix Wong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Felix Wong, 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 | 2024 | 0 | |
| 2 | Accurate RNA 3D structure prediction using a language model-based deep learning approachbreakdown → | 2024 | 61 |
| 3 | 2024 | 10 | |
| 4 | 2024 | 20 | |
| 5 | Machine learning for antimicrobial peptide identification and designbreakdown → | 2024 | 102 |
| 6 | 2024 | 0 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 24 | |
| 9 | 2023 | 40 | |
| 10 | 2022 | 34 | |
| 11 | Benchmarking | 2022 | 148 |
| 12 | 2022 | 26 | |
| 13 | 2021 | 25 | |
| 14 | 2021 | 81 | |
| 15 | 2021 | 19 | |
| 16 | 2019 | 36 | |
| 17 | 2018 | 28 | |
| 18 | 2017 | 44 | |
| 19 | 2016 | 110 | |
| 20 | 2014 | 3 |
About Felix Wong
Felix Wong is a scholar working on Molecular Medicine, Biophysics and Endocrinology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Gene Regulatory Network Analysis (5 papers), Bacterial biofilms and quorum sensing (5 papers), Antibiotic Resistance in Bacteria (4 papers), Protein Structure and Dynamics (3 papers), Bacteriophages and microbial interactions (3 papers), Machine Learning in Bioinformatics (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Microbiology (126 citations), Molecular Medicine (100 citations) and Health Informatics (20 citations). Felix Wong has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include James J. Collins, Jeremy Gunawardena, César de la Fuente‐Núñez, Ariel Amir, Lars D. Renner, Angela H. DePace, Erica J. Zheng, Javier Estrada, Fangping Wan and Aarti Krishnan. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.