Andy Jennings
Impact in
- Oncology top 5%
- Peptidase Inhibition and Analysis
- HER2/EGFR in Cancer Research
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- Diabetes Treatment and Management
Papers in
-
- Biochemical and Molecular Research 4
- Epigenetics and DNA Methylation 3
- Protein Degradation and Inhibitors 2
- Metabolism, Diabetes, and Cancer 2
- Oncology 7
- Peptidase Inhibition and Analysis 5
- Co-authors
- Kathleen Aertgeerts (5 shared papers)R.J. Skene (5 shared papers)G. Snell (3 shared papers)Jason K. Yano (2 shared papers)Mike Tennant (3 shared papers)Yiqin Wu (5 shared papers)Marc Navre (3 shared papers)Lihong Shi (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Journal of Medicinal Chemistry (3 papers)Journal of Biological Chemistry (3 papers)Journal of Chemical Information and Modeling (1 paper)Nature (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Andy Jennings
18 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 90
- Oncology 526
- Endocrinology, Diabetes and Metabolism 275
- Cellular and Molecular Neuroscience 273
- Molecular Biology 867
- Computational Theory and Mathematics 199
Countries citing papers authored by Andy Jennings
This map shows the geographic impact of Andy Jennings'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 Andy Jennings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Jennings more than expected).
Fields of papers citing papers by Andy Jennings
This network shows the impact of papers produced by Andy Jennings. 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 Andy Jennings. The network helps show where Andy Jennings may publish in the future.
Co-authors
The 25 scholars most cited alongside Andy Jennings, 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 | 2011 | 321 | |
| 2 | 2014 | 290 | |
| 3 | 2005 | 236 | |
| 4 | 2010 | 217 | |
| 5 | 2010 | 107 | |
| 6 | 2004 | 93 | |
| 7 | 2010 | 47 | |
| 8 | 2007 | 46 | |
| 9 | 2016 | 44 | |
| 10 | 2019 | 41 | |
| 11 | 2013 | 30 | |
| 12 | 2013 | 27 | |
| 13 | 2017 | 15 | |
| 14 | 2017 | 13 | |
| 15 | 2014 | 10 | |
| 16 | 2006 | 6 | |
| 17 | 2011 | 2 | |
| 18 | Use of high-throughput crystallography and in silico methods for structure-based drug design. | 2005 | 2 |
About Andy Jennings
Andy Jennings is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Peptidase Inhibition and Analysis (5 papers), Biochemical and Molecular Research (4 papers), Neuropeptides and Animal Physiology (4 papers), Diabetes Treatment and Management (3 papers), Epigenetics and DNA Methylation (3 papers), Protein Degradation and Inhibitors (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Oncology (526 citations), Endocrinology, Diabetes and Metabolism (275 citations), Cellular and Molecular Neuroscience (273 citations), Molecular Biology (867 citations) and Computational Theory and Mathematics (199 citations). Andy Jennings has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Kathleen Aertgeerts, R.J. Skene, G. Snell, Jason K. Yano, Mike Tennant, Yiqin Wu, Marc Navre, Lihong Shi, Charles E. Grimshaw and Shawn M. O’Connell. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Biological Chemistry, Journal of Chemical Information and Modeling and Nature.
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.