Heather Simmonite
Impact in
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- Computational Drug Discovery Methods
Papers in ⓘ
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- Biochemical and Molecular Research 3
- Protein Structure and Dynamics 2
- Protein Tyrosine Phosphatases 1
- Cancer therapeutics and mechanisms 1
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- Click Chemistry and Applications 1
- Co-authors
- Roderick E. Hubbard (4 shared papers)Ben Davis (3 shared papers)Harry Finch (2 shared papers)Martin J. Drysdale (2 shared papers)Christine M. Richardson (2 shared papers)Christophe Fromont (1 shared paper)Nicolas Baurin (1 shared paper)Xavier Barril (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Analytical Chemistry (1 paper)Bioorganic & Medicinal Chemistry (1 paper)ACS Omega (1 paper)Journal of the Chemical Society Perkin Transactions 2 (1 paper)
- Partner nations
- United KingdomSwedenSingapore
In The Last Decade
Heather Simmonite
7 papers receiving 206 citations
Peers
Comparison fields: 5 of 48
- Computational Theory and Mathematics 98
- Physiology 10
- Organic Chemistry 62
- Molecular Biology 147
- Radiology, Nuclear Medicine and Imaging 35
Countries citing papers authored by Heather Simmonite
This map shows the geographic impact of Heather Simmonite'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 Heather Simmonite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Simmonite more than expected).
Fields of papers citing papers by Heather Simmonite
This network shows the impact of papers produced by Heather Simmonite. 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 Heather Simmonite. The network helps show where Heather Simmonite may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather Simmonite, 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 | 2004 | 91 | |
| 2 | 2013 | 40 | |
| 3 | 2007 | 38 | |
| 4 | 2009 | 27 | |
| 5 | The design, synthesis and properties of highly potent and selective inhibitors of herpes simplex virus types 1 and 2 thymidine kinase. | 1998 | 14 |
| 6 | 2001 | 11 | |
| 7 | 1993 | 3 | |
| 8 | 2026 | 0 |
About Heather Simmonite
Heather Simmonite is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Infectious Diseases and Oncology, having authored 8 papers that have together received 224 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (3 papers), Computational Drug Discovery Methods (2 papers), Protein Structure and Dynamics (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Protein Tyrosine Phosphatases (1 paper), Cancer-related Molecular Pathways (1 paper), Cancer therapeutics and mechanisms (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (98 citations), Physiology (10 citations), Organic Chemistry (62 citations), Molecular Biology (147 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Heather Simmonite has collaborated with scholars based in United Kingdom, Sweden and Singapore. Frequent co-authors include Roderick E. Hubbard, Ben Davis, Harry Finch, Martin J. Drysdale, Christine M. Richardson, Christophe Fromont, Nicolas Baurin, Xavier Barril, Brian Dymock and Fareed Aboul‐ela. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Analytical Chemistry, Bioorganic & Medicinal Chemistry, ACS Omega and Journal of the Chemical Society Perkin Transactions 2.
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.