Jeff Yon
Impact in
- Molecular Biology top 10%
- Genomics, phytochemicals, and oxidative stress
- Protein Structure and Dynamics
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
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- Computational Drug Discovery Methods
Papers in ⓘ
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- Alzheimer's disease research and treatments 2
- Co-authors
- Mike Fried (2 shared papers)Anne Cleasby (5 shared papers)Ian J. Tickle (5 shared papers)Christopher W. Murray (2 shared papers)Philip J. Day (2 shared papers)Sahil Patel (1 shared paper)Laurent Vuillard (1 shared paper)Harren Jhoti (4 shared papers)
- Journals
- European Journal of Biochemistry (2 papers)ChemMedChem (1 paper)Microbiology (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Jeff Yon
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 858
- Computational Theory and Mathematics 146
- Cell Biology 137
- Oncology 163
- Pharmacology 86
Countries citing papers authored by Jeff Yon
This map shows the geographic impact of Jeff Yon'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 Jeff Yon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Yon more than expected).
Fields of papers citing papers by Jeff Yon
This network shows the impact of papers produced by Jeff Yon. 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 Jeff Yon. The network helps show where Jeff Yon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Yon, 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 | 1989 | 264 | |
| 2 | 2014 | 202 | |
| 3 | 2009 | 176 | |
| 4 | 2004 | 145 | |
| 5 | 1998 | 92 | |
| 6 | 2007 | 75 | |
| 7 | 2004 | 49 | |
| 8 | 1999 | 41 | |
| 9 | 2014 | 31 | |
| 10 | 1991 | 27 | |
| 11 | 2002 | 19 | |
| 12 | 2002 | 19 | |
| 13 | 1989 | 18 | |
| 14 | 1983 | 3 | |
| 15 | 2005 | 0 |
About Jeff Yon
Jeff Yon is a scholar working on Developmental Neuroscience, Physiology, Molecular Medicine, Microbiology and Molecular Biology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (3 papers), Alzheimer's disease research and treatments (2 papers), Computational Drug Discovery Methods (2 papers), Bacterial Genetics and Biotechnology (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (858 citations), Computational Theory and Mathematics (146 citations), Cell Biology (137 citations), Oncology (163 citations) and Pharmacology (86 citations). Jeff Yon has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Mike Fried, Anne Cleasby, Ian J. Tickle, Christopher W. Murray, Philip J. Day, Sahil Patel, Laurent Vuillard, Harren Jhoti, Peter Verhasselt and Andrew Sharff. Their work appears in journals such as European Journal of Biochemistry, ChemMedChem, Microbiology, The International Journal of Biochemistry & Cell Biology and Journal of Biological 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.