Robert Powers
Impact in
- Molecular Biology top 0.5%
- Metabolomics and Mass Spectrometry Studies
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Spectroscopy top 0.5%
Papers in ⓘ
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- Computational Drug Discovery Methods 20
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- Metabolomics and Mass Spectrometry Studies 60
- Protein Structure and Dynamics 37
- RNA and protein synthesis mechanisms 20
- Co-authors
- Bradley Worley (14 shared papers)G. Marius Clore (11 shared papers)Angela M. Gronenborn (11 shared papers)Daniel S. Garrett (9 shared papers)Steven Halouska (16 shared papers)G.T. Montelione (11 shared papers)Darrell D. Marshall (13 shared papers)Yuanpeng J. Huang (5 shared papers)
- Journals
- Biochemistry (17 papers)Journal of Proteome Research (13 papers)Discrete Applied Mathematics (11 papers)Journal of the American Chemical Society (8 papers)Proteins Structure Function and Bioinformatics (7 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Robert Powers
255 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Molecular Biology 7.1k
- Spectroscopy 1.2k
- Cancer Research 762
- Analytical Chemistry 490
- Biological Psychiatry 100
Countries citing papers authored by Robert Powers
This map shows the geographic impact of Robert Powers'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 Robert Powers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Powers more than expected).
Fields of papers citing papers by Robert Powers
This network shows the impact of papers produced by Robert Powers. 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 Robert Powers. The network helps show where Robert Powers may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Powers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 263 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multivariate Analysis in Metabolomics Hit paper breakdown → | 2012 | 941 |
| 2 | The future of NMR-based metabolomics Hit paper breakdown → | 2016 | 615 |
| 3 | A common sense approach to peak picking in two-, three-, and four-dimensional spectra using automatic computer analysis of contour diagrams Hit paper breakdown → | 1991 | 611 |
| 4 | 2012 | 446 | |
| 5 | PCA as a Practical Indicator of OPLS-DA Model Reliability Hit paper breakdown → | 2016 | 346 |
| 6 | 1997 | 244 | |
| 7 | 2005 | 209 | |
| 8 | 2014 | 188 | |
| 9 | 2012 | 188 | |
| 10 | 2017 | 179 | |
| 11 | 1993 | 170 | |
| 12 | 2012 | 162 | |
| 13 | 2017 | 148 | |
| 14 | 2019 | 146 | |
| 15 | 1992 | 133 | |
| 16 | 1991 | 129 | |
| 17 | 2017 | 118 | |
| 18 | 2017 | 118 | |
| 19 | 2020 | 111 | |
| 20 | 2012 | 107 |
About Robert Powers
Robert Powers is a scholar working on Computational Theory and Mathematics, Molecular Biology, Theoretical Computer Science, Spectroscopy and Analytical Chemistry, having authored 263 papers that have together received 10.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (60 papers), Protein Structure and Dynamics (37 papers), Enzyme Structure and Function (30 papers), Game Theory and Voting Systems (21 papers), RNA and protein synthesis mechanisms (20 papers), Computational Drug Discovery Methods (20 papers), Advanced Chemical Sensor Technologies (16 papers) and Antimicrobial Resistance in Staphylococcus (13 papers). The work is most often cited by research in Molecular Biology (7.1k citations), Spectroscopy (1.2k citations), Cancer Research (762 citations), Analytical Chemistry (490 citations) and Biological Psychiatry (100 citations). Robert Powers has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Bradley Worley, G. Marius Clore, Angela M. Gronenborn, Daniel S. Garrett, Steven Halouska, G.T. Montelione, Darrell D. Marshall, Yuanpeng J. Huang, Franklin J. Moy and Bo Zhang. Their work appears in journals such as Biochemistry, Journal of Proteome Research, Discrete Applied Mathematics, Journal of the American Chemical Society and Proteins Structure Function and Bioinformatics.
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.