Michael Maser
Impact in
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- Computational Drug Discovery Methods
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- Catalytic C–H Functionalization Methods
- Catalytic Cross-Coupling Reactions
- Catalytic Alkyne Reactions
Papers in
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- Catalytic C–H Functionalization Methods 3
- Catalytic Alkyne Reactions 2
- Synthesis of Indole Derivatives 2
- Organoboron and organosilicon chemistry 2
- Catalytic Cross-Coupling Reactions 2
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- Machine Learning in Materials Science 3
- Co-authors
- Klavs F. Jensen (1 shared paper)Spencer D. Dreher (1 shared paper)Steven Kearnes (1 shared paper)Joel M. Hawkins (1 shared paper)Connor W. Coley (1 shared paper)Michael Wleklinski (1 shared paper)Abigail G. Doyle (1 shared paper)Sarah E. Reisman (3 shared papers)
- Journals
- Journal of the American Chemical Society (3 papers)ChemCatChem (1 paper)Journal of Chemical Information and Modeling (1 paper)Organic Letters (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Michael Maser
9 papers receiving 410 citations
Peers
Comparison fields: 5 of 61
- Computational Theory and Mathematics 147
- Organic Chemistry 134
- Materials Chemistry 199
- Information Systems and Management 29
- Inorganic Chemistry 39
Countries citing papers authored by Michael Maser
This map shows the geographic impact of Michael Maser'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 Michael Maser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Maser more than expected).
Fields of papers citing papers by Michael Maser
This network shows the impact of papers produced by Michael Maser. 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 Michael Maser. The network helps show where Michael Maser may publish in the future.
Co-authors
The 23 scholars most cited alongside Michael Maser, 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 | 199 | |
| 2 | 2021 | 61 | |
| 3 | 2016 | 42 | |
| 4 | 2022 | 32 | |
| 5 | 2021 | 26 | |
| 6 | 2018 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2016 | 13 | |
| 9 | 2019 | 9 |
About Michael Maser
Michael Maser is a scholar working on Organic Chemistry, Materials Chemistry, Molecular Biology, Computational Theory and Mathematics and Information Systems and Management, having authored 9 papers that have together received 420 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (3 papers), Machine Learning in Materials Science (3 papers), Catalytic Alkyne Reactions (2 papers), Synthesis of Indole Derivatives (2 papers), Computational Drug Discovery Methods (2 papers), Organoboron and organosilicon chemistry (2 papers), Catalytic Cross-Coupling Reactions (2 papers) and Traditional and Medicinal Uses of Annonaceae (1 paper). The work is most often cited by research in Computational Theory and Mathematics (147 citations), Organic Chemistry (134 citations), Materials Chemistry (199 citations), Information Systems and Management (29 citations) and Inorganic Chemistry (39 citations). Michael Maser has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Klavs F. Jensen, Spencer D. Dreher, Steven Kearnes, Joel M. Hawkins, Connor W. Coley, Michael Wleklinski, Abigail G. Doyle, Sarah E. Reisman, Bruce H. Lipshutz and Roscoe T. H. Linstadt. Their work appears in journals such as Journal of the American Chemical Society, ChemCatChem, Journal of Chemical Information and Modeling, Organic Letters and Angewandte Chemie International Edition.
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.