Keith P. Moore
Impact in
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- Catalytic C–H Functionalization Methods
- Catalytic Cross-Coupling Reactions
- Sulfur-Based Synthesis Techniques
- Radical Photochemical Reactions
- Click Chemistry and Applications
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- Fluorine in Organic Chemistry
Papers in
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- Chemical Synthesis and Analysis 5
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- Catalytic Cross-Coupling Reactions 2
- Catalytic C–H Functionalization Methods 2
- Synthetic Organic Chemistry Methods 1
- Co-authors
- Philippe G. Nantermet (5 shared papers)Zhengwei Peng (2 shared papers)Thomas J. Greshock (2 shared papers)Peter S. Kutchukian (2 shared papers)Sophia M. Manolikakes (2 shared papers)Ian W. Davies (2 shared papers)Cheol K. Chung (2 shared papers)Mario Ellwart (2 shared papers)
- Journals
- ACS Medicinal Chemistry Letters (1 paper)Organic Letters (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Therapeutic Drug Monitoring (1 paper)The Journal of Organic Chemistry (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Keith P. Moore
10 papers receiving 185 citations
Peers
Comparison fields: 5 of 47
- Organic Chemistry 125
- Pharmaceutical Science 23
- Developmental Neuroscience 12
- Process Chemistry and Technology 4
- Computational Theory and Mathematics 20
Countries citing papers authored by Keith P. Moore
This map shows the geographic impact of Keith P. Moore'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 Keith P. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith P. Moore more than expected).
Fields of papers citing papers by Keith P. Moore
This network shows the impact of papers produced by Keith P. Moore. 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 Keith P. Moore. The network helps show where Keith P. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith P. Moore, 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 | 2016 | 54 | |
| 2 | 2007 | 29 | |
| 3 | 2011 | 25 | |
| 4 | 2016 | 23 | |
| 5 | 2003 | 19 | |
| 6 | 2018 | 14 | |
| 7 | 2004 | 13 | |
| 8 | 1983 | 7 | |
| 9 | 2010 | 4 | |
| 10 | 2010 | 2 |
About Keith P. Moore
Keith P. Moore is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Cellular and Molecular Neuroscience and Virology, having authored 10 papers that have together received 190 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (5 papers), Catalytic Cross-Coupling Reactions (2 papers), Catalytic C–H Functionalization Methods (2 papers), Synthetic Organic Chemistry Methods (1 paper), HIV Research and Treatment (1 paper), Nerve injury and regeneration (1 paper), Analytical Methods in Pharmaceuticals (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Organic Chemistry (125 citations), Pharmaceutical Science (23 citations), Developmental Neuroscience (12 citations), Process Chemistry and Technology (4 citations) and Computational Theory and Mathematics (20 citations). Keith P. Moore has collaborated with scholars based in United States and Germany. Frequent co-authors include Philippe G. Nantermet, Zhengwei Peng, Thomas J. Greshock, Peter S. Kutchukian, Sophia M. Manolikakes, Ian W. Davies, Cheol K. Chung, Mario Ellwart, Paul Knochel and Ray T. McClain. Their work appears in journals such as ACS Medicinal Chemistry Letters, Organic Letters, Bioorganic & Medicinal Chemistry Letters, Therapeutic Drug Monitoring and The Journal of Organic Chemistry.
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.