Jon Winter
Impact in
- Organic Chemistry top 10%
- Synthetic Organic Chemistry Methods
- Asymmetric Synthesis and Catalysis
- Carbohydrate Chemistry and Synthesis
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- Cancer, Hypoxia, and Metabolism
Papers in
-
- Biomedical Text Mining and Ontologies 2
- Protein Kinase Regulation and GTPase Signaling 2
- ATP Synthase and ATPases Research 1
- PI3K/AKT/mTOR signaling in cancer 1
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- Computational Drug Discovery Methods 3
- Co-authors
- Kevin Blades (2 shared papers)Michael J. Waring (2 shared papers)Madeleine Helliwell (1 shared paper)Nicholas J. Newcombe (1 shared paper)Peter R. Moore (1 shared paper)Geoffrey Stemp (1 shared paper)Timothy J. Donohoe (1 shared paper)Julie A. Tucker (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)Drug Discovery Today (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Chemical Information and Modeling (2 papers)The Journal of Organic Chemistry (1 paper)
- Partner nations
- United KingdomSwedenBrazil
In The Last Decade
Jon Winter
11 papers receiving 435 citations
Peers
Comparison fields: 5 of 62
- Organic Chemistry 158
- Cancer Research 70
- Computational Theory and Mathematics 67
- Molecular Biology 278
- Physiology 15
Countries citing papers authored by Jon Winter
This map shows the geographic impact of Jon Winter'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 Jon Winter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Winter more than expected).
Fields of papers citing papers by Jon Winter
This network shows the impact of papers produced by Jon Winter. 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 Jon Winter. The network helps show where Jon Winter may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Winter, 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 | 129 | |
| 2 | 2002 | 114 | |
| 3 | 2015 | 95 | |
| 4 | 2013 | 30 | |
| 5 | 2005 | 21 | |
| 6 | 2012 | 16 | |
| 7 | 2012 | 14 | |
| 8 | 2012 | 9 | |
| 9 | 2012 | 6 | |
| 10 | 2011 | 3 | |
| 11 | 2015 | 3 |
About Jon Winter
Jon Winter is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Spectroscopy and Materials Chemistry, having authored 11 papers that have together received 440 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Chemokine receptors and signaling (2 papers), Analytical Chemistry and Chromatography (2 papers), Biomedical Text Mining and Ontologies (2 papers), Machine Learning in Materials Science (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), ATP Synthase and ATPases Research (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Organic Chemistry (158 citations), Cancer Research (70 citations), Computational Theory and Mathematics (67 citations), Molecular Biology (278 citations) and Physiology (15 citations). Jon Winter has collaborated with scholars based in United Kingdom, Sweden and Brazil. Frequent co-authors include Kevin Blades, Michael J. Waring, Madeleine Helliwell, Nicholas J. Newcombe, Peter R. Moore, Geoffrey Stemp, Timothy J. Donohoe, Julie A. Tucker, Jonathan Tart and Alexander L. Breeze. Their work appears in journals such as Journal of Medicinal Chemistry, Drug Discovery Today, Bioorganic & Medicinal Chemistry Letters, Journal of Chemical Information and Modeling 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.