Paul Coote
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
Papers in
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- Advanced NMR Techniques and Applications 8
- Molecular spectroscopy and chirality 2
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- NMR spectroscopy and applications 7
- Co-authors
- Haribabu Arthanari (10 shared papers)Gerhard Wagner (8 shared papers)Andras Boeszoermenyi (3 shared papers)Konstantin Fackeldey (1 shared paper)Christoph Gorgulla (1 shared paper)Dmytro S. Radchenko (1 shared paper)Yehor S. Malets (1 shared paper)Krishna Mohan Das (1 shared paper)
- Journals
- Nature Communications (3 papers)Journal of Magnetic Resonance (2 papers)Journal of Biomolecular NMR (2 papers)Journal of Medicinal Chemistry (2 papers)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Paul Coote
14 papers receiving 564 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 260
- Molecular Biology 399
- Biophysics 26
- Spectroscopy 71
- Nuclear and High Energy Physics 36
Countries citing papers authored by Paul Coote
This map shows the geographic impact of Paul Coote'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 Paul Coote with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Coote more than expected).
Fields of papers citing papers by Paul Coote
This network shows the impact of papers produced by Paul Coote. 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 Paul Coote. The network helps show where Paul Coote may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Coote, 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 | An open-source drug discovery platform enables ultra-large virtual screens Hit paper breakdown → | 2020 | 395 |
| 2 | 2017 | 34 | |
| 3 | 2018 | 27 | |
| 4 | 2021 | 27 | |
| 5 | 2019 | 18 | |
| 6 | 2018 | 15 | |
| 7 | 2017 | 12 | |
| 8 | 2013 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2016 | 4 | |
| 14 | 2025 | 3 |
About Paul Coote
Paul Coote is a scholar working on Spectroscopy, Nuclear and High Energy Physics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 14 papers that have together received 571 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (8 papers), NMR spectroscopy and applications (7 papers), Advanced MRI Techniques and Applications (4 papers), Computational Drug Discovery Methods (3 papers), Molecular spectroscopy and chirality (2 papers), Solid-state spectroscopy and crystallography (2 papers), Protein Structure and Dynamics (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (260 citations), Molecular Biology (399 citations), Biophysics (26 citations), Spectroscopy (71 citations) and Nuclear and High Energy Physics (36 citations). Paul Coote has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Haribabu Arthanari, Gerhard Wagner, Andras Boeszoermenyi, Konstantin Fackeldey, Christoph Gorgulla, Dmytro S. Radchenko, Yehor S. Malets, Krishna Mohan Das, Patrick D. Fischer and Zifu Wang. Their work appears in journals such as Nature Communications, Journal of Magnetic Resonance, Journal of Biomolecular NMR, Journal of Medicinal Chemistry and Nature Structural & Molecular Biology.
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.