Keith S. Learn
Impact in
- Organic Chemistry top 10%
- Asymmetric Synthesis and Catalysis
- Synthetic Organic Chemistry Methods
- Chemical Synthesis and Reactions
- Organoboron and organosilicon chemistry
- Inorganic Chemistry top 10%
- Asymmetric Hydrogenation and Catalysis
Papers in
-
- Asymmetric Synthesis and Catalysis 5
- Catalytic C–H Functionalization Methods 2
- Synthesis and Biological Evaluation 2
- Coordination Chemistry and Organometallics 2
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- Asymmetric Hydrogenation and Catalysis 4
- Co-authors
- Robert O. HutchinsLeo A. PaquetteBehrooz NazerAndrew PelterJ. RomineMarie M. GleasonGlenda E. BilderCamilo Rojas
- Journals
- Journal of the American Chemical Society (2 papers)Tetrahedron Letters (2 papers)Journal of Medicinal Chemistry (2 papers)The Journal of Organic Chemistry (2 papers)Tetrahedron (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Keith S. Learn
18 papers receiving 383 citations
Peers
Comparison fields: 5 of 59
- Organic Chemistry 294
- Inorganic Chemistry 111
- Process Chemistry and Technology 13
- Toxicology 13
- Biotechnology 27
Countries citing papers authored by Keith S. Learn
This map shows the geographic impact of Keith S. Learn'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 S. Learn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith S. Learn more than expected).
Fields of papers citing papers by Keith S. Learn
This network shows the impact of papers produced by Keith S. Learn. 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 S. Learn. The network helps show where Keith S. Learn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keith S. Learn, 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 | 2012 | 4 | |
| 2 | 2002 | 4 | |
| 3 | 1995 | 35 | |
| 4 | 1991 | 16 | |
| 5 | 1990 | 18 | |
| 6 | 1988 | 26 | |
| 7 | 1988 | 6 | |
| 8 | 1987 | 4 | |
| 9 | 1987 | 1 | |
| 10 | 1987 | 2 | |
| 11 | 1986 | 12 | |
| 12 | 1986 | 9 | |
| 13 | 1986 | 18 | |
| 14 | 1985 | 6 | |
| 15 | 1984 | 37 | |
| 16 | 1984 | 75 | |
| 17 | 1982 | 70 | |
| 18 | 1980 | 57 |
About Keith S. Learn
Keith S. Learn is a scholar working on Organic Chemistry, Inorganic Chemistry, Toxicology, Spectroscopy and Biophysics, having authored 18 papers that have together received 400 indexed citations. Recurring topics across this work include Asymmetric Synthesis and Catalysis (5 papers), Asymmetric Hydrogenation and Catalysis (4 papers), Chemical Synthesis and Analysis (3 papers), Catalytic C–H Functionalization Methods (2 papers), Analytical Chemistry and Chromatography (2 papers), Synthesis of Organic Compounds (2 papers), Synthesis and Biological Evaluation (2 papers) and Coordination Chemistry and Organometallics (2 papers). The work is most often cited by research in Organic Chemistry (294 citations), Inorganic Chemistry (111 citations), Process Chemistry and Technology (13 citations), Toxicology (13 citations) and Biotechnology (27 citations). Keith S. Learn has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Robert O. Hutchins, Leo A. Paquette, Behrooz Nazer, Andrew Pelter, J. Romine, Marie M. Gleason, Glenda E. Bilder, Camilo Rojas, Mark H. Perrone and P. L. Fuchs. Their work appears in journals such as Journal of the American Chemical Society, Tetrahedron Letters, Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Tetrahedron.
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.