Sleight R. Smith
Impact in
- Inorganic Chemistry top 10%
- Asymmetric Hydrogenation and Catalysis
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
- Catalytic Cross-Coupling Reactions
- Organoboron and organosilicon chemistry
- Radical Photochemical Reactions
Papers in
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- Asymmetric Hydrogenation and Catalysis 2
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- Machine Learning in Materials Science 2
- Co-authors
- Matthew S. Sigman (3 shared papers)Tobias Gensch (2 shared papers)Ellyn Peters (1 shared paper)Julia E. Borowski (1 shared paper)Samuel H. Newman-Stonebraker (1 shared paper)Heather C. Johnson (1 shared paper)Abigail G. Doyle (1 shared paper)Cian Kingston (1 shared paper)
- Journals
- Journal of the American Chemical Society (1 paper)The Journal of Organic Chemistry (1 paper)ACS Catalysis (1 paper)Science (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Sleight R. Smith
4 papers receiving 273 citations
Peers
Comparison fields: 5 of 30
- Inorganic Chemistry 101
- Organic Chemistry 171
- Process Chemistry and Technology 11
- Computational Theory and Mathematics 47
- Catalysis 16
Countries citing papers authored by Sleight R. Smith
This map shows the geographic impact of Sleight R. Smith'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 Sleight R. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sleight R. Smith more than expected).
Fields of papers citing papers by Sleight R. Smith
This network shows the impact of papers produced by Sleight R. Smith. 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 Sleight R. Smith. The network helps show where Sleight R. Smith may publish in the future.
Co-authors
The 17 scholars most cited alongside Sleight R. Smith, 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 | 2021 | 173 | |
| 2 | 2021 | 64 | |
| 3 | 2022 | 40 | |
| 4 | 2022 | 3 |
About Sleight R. Smith
Sleight R. Smith is a scholar working on Inorganic Chemistry, Materials Chemistry, Organic Chemistry, Molecular Biology and Plant Science, having authored 4 papers that have together received 280 indexed citations. Recurring topics across this work include Asymmetric Hydrogenation and Catalysis (2 papers), Machine Learning in Materials Science (2 papers), Catalytic Cross-Coupling Reactions (1 paper), Surface Chemistry and Catalysis (1 paper), Phytochemistry and biological activities of Ficus species (1 paper), Chemical Synthesis and Analysis (1 paper), Catalytic C–H Functionalization Methods (1 paper) and Chemical synthesis and alkaloids (1 paper). The work is most often cited by research in Inorganic Chemistry (101 citations), Organic Chemistry (171 citations), Process Chemistry and Technology (11 citations), Computational Theory and Mathematics (47 citations) and Catalysis (16 citations). Sleight R. Smith has collaborated with scholars based in United States and Germany. Frequent co-authors include Matthew S. Sigman, Tobias Gensch, Ellyn Peters, Julia E. Borowski, Samuel H. Newman-Stonebraker, Heather C. Johnson, Abigail G. Doyle, Cian Kingston, Haiming Zhang and Guolin Xu. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry, ACS Catalysis and Science.
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.