Jonathan E. Schneeweis
Impact in
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- Computational Drug Discovery Methods
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography
Papers in
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- Peroxisome Proliferator-Activated Receptors 1
- Mitochondrial Function and Pathology 1
- Oncology 3
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Petr Váchal (1 shared paper)Erik L. Regalado (1 shared paper)Tony Pereira (1 shared paper)Ian W. Davies (1 shared paper)Spencer D. Dreher (1 shared paper)Christopher J. Welch (1 shared paper)Roy Helmy (1 shared paper)Louis‐Charles Campeau (1 shared paper)
- Journals
- SLAS DISCOVERY (3 papers)Assay and Drug Development Technologies (3 papers)SLAS TECHNOLOGY (1 paper)Science (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Jonathan E. Schneeweis
9 papers receiving 635 citations
Jonathan E. Schneeweis's Hit Papers
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 103
- Spectroscopy 103
- Organic Chemistry 169
- Biomedical Engineering 245
- Inorganic Chemistry 53
Countries citing papers authored by Jonathan E. Schneeweis
This map shows the geographic impact of Jonathan E. Schneeweis'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 Jonathan E. Schneeweis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan E. Schneeweis more than expected).
Fields of papers citing papers by Jonathan E. Schneeweis
This network shows the impact of papers produced by Jonathan E. Schneeweis. 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 Jonathan E. Schneeweis. The network helps show where Jonathan E. Schneeweis may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan E. Schneeweis, 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 | Nanomole-scale high-throughput chemistry for the synthesis of complex molecules Hit paper breakdown → | 2014 | 480 |
| 2 | 2006 | 41 | |
| 3 | 2008 | 38 | |
| 4 | 2004 | 26 | |
| 5 | 2003 | 26 | |
| 6 | 2006 | 19 | |
| 7 | 2015 | 12 | |
| 8 | 2020 | 6 | |
| 9 | 2005 | 4 |
About Jonathan E. Schneeweis
Jonathan E. Schneeweis is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Genetics and Biomedical Engineering, having authored 9 papers that have together received 652 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (3 papers), Estrogen and related hormone effects (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Diabetes Management and Research (1 paper), Metabolism and Genetic Disorders (1 paper), Mitochondrial Function and Pathology (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (103 citations), Spectroscopy (103 citations), Organic Chemistry (169 citations), Biomedical Engineering (245 citations) and Inorganic Chemistry (53 citations). Jonathan E. Schneeweis has collaborated with scholars based in United States and Japan. Frequent co-authors include Petr Váchal, Erik L. Regalado, Tony Pereira, Ian W. Davies, Spencer D. Dreher, Christopher J. Welch, Roy Helmy, Louis‐Charles Campeau, Zhicai Shi and Simon Berritt. Their work appears in journals such as SLAS DISCOVERY, Assay and Drug Development Technologies, SLAS TECHNOLOGY, Science and Journal of Lipid Research.
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.