David S. Wishart
- Molecular Biology top 0.01%
- Spectroscopy top 0.02%
- Computational Theory and Mathematics top 0.01%
- Physiology top 0.1%
- Plant Science top 0.2%
- Co-authors
- Jianguo XiaBrian D. SykesF.M. RichardsJasmine ChongDavid ArndtBeom-Soo HanCraig KnoxYongjie Liang
- Topics
- Metabolomics and Mass Spectrometry Studies (188 papers)Protein Structure and Dynamics (69 papers)Enzyme Structure and Function (50 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
David S. Wishart
535 papers receiving 74.7k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Molecular Biology 48.3k
- Spectroscopy 7.4k
- Computational Theory and Mathematics 6.7k
- Physiology 6.1k
- Plant Science 5.3k
Countries citing papers authored by David S. Wishart
This map shows the geographic impact of David S. Wishart'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 David S. Wishart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Wishart more than expected).
Fields of papers citing papers by David S. Wishart
This network shows the impact of papers produced by David S. Wishart. 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 David S. Wishart. The network helps show where David S. Wishart may publish in the future.
Co-authorship network of co-authors of David S. Wishart
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Wishart. A scholar is included among the top collaborators of David S. Wishart 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 David S. Wishart. David S. Wishart 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 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 55 | |
| 13 | 3 | |
| 14 | 45 | |
| 15 | 4 | |
| 16 | NMR Spectroscopy for Metabolomics Researchbreakdown → | 721 |
| 17 | 194 | |
| 18 | Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Communitybreakdown → | 409 |
| 19 | 6 | |
| 20 | 1 |
About David S. Wishart
David S. Wishart is a scholar working on Transplantation, Molecular Biology and Agronomy and Crop Science, having authored 553 papers that have together received 75.7k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (188 papers), Protein Structure and Dynamics (69 papers) and Enzyme Structure and Function (50 papers). The work is most often cited by research in Molecular Biology (48.3k citations), Spectroscopy (7.4k citations) and Computational Theory and Mathematics (6.7k citations). David S. Wishart has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jianguo Xia, Brian D. Sykes, F.M. Richards, Jasmine Chong, David Arndt, Beom-Soo Han, Craig Knox, Yongjie Liang, An Chi Guo and Jason R. Grant. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.