Wayne Boucher
- Molecular Biology top 2%
- Protein Structure and Dynamics 7
- Metabolomics and Mass Spectrometry Studies 4
- Genomics and Chromatin Dynamics 3
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- Black Holes and Theoretical Physics 6
- NMR spectroscopy and applications 5
- Spectroscopy top 2%
- Advanced NMR Techniques and Applications 4
- Geometry and Topology top 5%
- Cell Biology top 5%
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- Cosmology and Gravitation Theories 4
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- Scientific Computing and Data Management 4
- Co-authors
- Ernest D. LaueRasmus H. FoghTim J. StevensWim VrankenJohn IonidesJohn L. MarkleyEldon L. UlrichAnne Pajon
- Journals
- Journal of Biomolecular NMR (6 papers)Journal of Mathematical Biology (4 papers)Nuclear Physics B (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Wayne Boucher
33 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 2.8k
- Nuclear and High Energy Physics 492
- Spectroscopy 538
- Geometry and Topology 213
- Cell Biology 336
Countries citing papers authored by Wayne Boucher
This map shows the geographic impact of Wayne Boucher'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 Wayne Boucher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Boucher more than expected).
Fields of papers citing papers by Wayne Boucher
This network shows the impact of papers produced by Wayne Boucher. 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 Wayne Boucher. The network helps show where Wayne Boucher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wayne Boucher, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2019 | 16 | |
| 4 | 2018 | 10 | |
| 5 | 2018 | 29 | |
| 6 | CcpNmr AnalysisAssign: a flexible platform for integrated NMR analysisbreakdown → | 2016 | 274 |
| 7 | 2014 | 58 | |
| 8 | 2011 | 127 | |
| 9 | 2010 | 1 | |
| 10 | 2006 | 15 | |
| 11 | The CCPN data model for NMR spectroscopy: Development of a software pipelinebreakdown → | 2005 | 2633 |
| 12 | 2004 | 44 | |
| 13 | 2002 | 108 | |
| 14 | 1995 | 32 | |
| 15 | 1993 | 12 | |
| 16 | 1993 | 56 | |
| 17 | 1990 | 10 | |
| 18 | 1988 | 10 | |
| 19 | 1988 | 5 | |
| 20 | 1980 | 0 |
About Wayne Boucher
Wayne Boucher is a scholar working on Nuclear and High Energy Physics, Structural Biology and Information Systems and Management, having authored 35 papers that have together received 4.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Black Holes and Theoretical Physics (6 papers), NMR spectroscopy and applications (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Cosmology and Gravitation Theories (4 papers), Advanced NMR Techniques and Applications (4 papers), Scientific Computing and Data Management (4 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Nuclear and High Energy Physics (492 citations) and Spectroscopy (538 citations). Wayne Boucher has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Ernest D. Laue, Rasmus H. Fogh, Tim J. Stevens, Wim Vranken, John Ionides, John L. Markley, Eldon L. Ulrich, Anne Pajon, Miguel Llinás and Adrian Kent. Their work appears in journals such as Journal of Biomolecular NMR, Journal of Mathematical Biology, Nuclear Physics B, Journal of the American Chemical Society and Physics Letters B.
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.