Craig Knox
- Molecular Biology top 0.5%
- Computational Theory and Mathematics top 0.05%
- Pharmacology top 0.2%
- Spectroscopy top 1%
- Pharmacology top 1%
- Co-authors
- David S. WishartAn Chi GuoYannick Djoumbou-FeunangVanessa NeveuSavita ShrivastavaRoman EisnerMichael WilsonVivian Law
- Topics
- Metabolomics and Mass Spectrometry Studies (11 papers)Bioinformatics and Genomic Networks (7 papers)Computational Drug Discovery Methods (6 papers)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Craig Knox
20 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Molecular Biology 6.3k
- Computational Theory and Mathematics 3.3k
- Pharmacology 863
- Spectroscopy 755
- Pharmacology 734
Countries citing papers authored by Craig Knox
This map shows the geographic impact of Craig Knox'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 Craig Knox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Knox more than expected).
Fields of papers citing papers by Craig Knox
This network shows the impact of papers produced by Craig Knox. 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 Craig Knox. The network helps show where Craig Knox may publish in the future.
Co-authorship network of co-authors of Craig Knox
This figure shows the co-authorship network connecting the top 25 collaborators of Craig Knox. A scholar is included among the top collaborators of Craig Knox 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 Craig Knox. Craig Knox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 103 | |
| 3 | ClassyFire: automated chemical classification with a comprehensive, computable taxonomybreakdown → | 1002 |
| 4 | 2 | |
| 5 | 109 | |
| 6 | 19 | |
| 7 | 217 | |
| 8 | DrugBank 4.0: shedding new light on drug metabolismbreakdown → | 1546 |
| 9 | 309 | |
| 10 | The Human Urine Metabolomebreakdown → | 1100 |
| 11 | 128 | |
| 12 | 147 | |
| 13 | Phenol-Explorer: an online comprehensive database on polyphenol contents in foodsbreakdown → | 1043 |
| 14 | DrugBank 3.0: a comprehensive resource for 'Omics' research on drugsbreakdown → | 1475 |
| 15 | 264 | |
| 16 | 112 | |
| 17 | 188 | |
| 18 | DrugBank: a knowledgebase for drugs, drug actions and drug targetsbreakdown → | 2156 |
| 19 | 18 | |
| 20 | 5 |
About Craig Knox
Craig Knox is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology, having authored 20 papers that have together received 9.9k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), Bioinformatics and Genomic Networks (7 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Computational Theory and Mathematics (3.3k citations), Pharmacology (863 citations) and Biochemistry (578 citations). Craig Knox has collaborated with scholars based in Canada, France and United States. Frequent co-authors include David S. Wishart, An Chi Guo, Yannick Djoumbou-Feunang, Vanessa Neveu, Savita Shrivastava, Roman Eisner, Michael Wilson, Vivian Law, Allison Pon and Timothy Jewison. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.
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.