Felix Wong

2.8k citations
29 papers · 1.4k indexed · 4 hit papers · h-index 21
Topics
Bacterial Genetics and Biotechnology (6 papers)Gene Regulatory Network Analysis (5 papers)Bacterial biofilms and quorum sensing (5 papers)

In The Last Decade

Felix Wong

27 papers receiving 1.3k citations

Hit Papers

Benchmarking AlphaFold ‐enabled molecular docking predict...202220262023202420222023202420244080120

Peers

Felix Wong
Comparison fields: 5 of 147
  • Molecular Biology 812
  • Genetics 247
  • Microbiology 126
  • Ecology 120
  • Computational Theory and Mathematics 108
Replace Marcelo C. R. Melo with:
Marcelo C. R. Melo United States
Wei Zheng China
Bernhard Y. Renard Germany
Bree B. Aldridge United States
Eric W. Bell United States
Zhongge Zhang United States
Sheng‐ce Tao China
Kevin B. Wood United States
Benjamin Kaufmann-Malaga United States
João Rodrigues Netherlands
Felix Wong relative to Marcelo C. R. Melo United States Marcelo C. R. Melo's profile →
Citations per field
00.5×4.0×
Marcelo C. R. Melo · 1×
Citations per year

Countries citing papers authored by Felix Wong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Felix Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Wong. A scholar is included among the top collaborators of Felix Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Felix Wong. Felix Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Accurate RNA 3D structure prediction using a language model-based deep learning approachbreakdown →
61
3 10
4 20
5
Machine learning for antimicrobial peptide identification and designbreakdown →
102
6 0
7 19
8 24
9 40
10 34
11
Benchmarking AlphaFold ‐enabled molecular docking predictions for antibiotic discoverybreakdown →
148
12 26
13 25
14 81
15 19
16 36
17 28
18 44
19 110
20 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) and Bacterial biofilms and quorum sensing (5 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.

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