David K. Chalmers
Impact in
- Pharmaceutical Science top 1%
- Drug Solubulity and Delivery Systems
- Organic Chemistry top 2%
- Surfactants and Colloidal Systems
Papers in
- Virology 8
-
- Drug Solubulity and Delivery Systems 9
- Co-authors
- Elizabeth YurievColin W. PoutonDallas B. WarrenGarland R. MarshallDavid T. ManallackRichard J. PrankerdBilly J. Williams‐NoonanTudor I. Oprea
- Journals
- Journal of Medicinal Chemistry (9 papers)Molecular Pharmaceutics (8 papers)Journal of Chemical Information and Modeling (5 papers)ChemMedChem (5 papers)Journal of Pharmaceutical Sciences (4 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
David K. Chalmers
107 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 130
- Pharmaceutical Science 267
- Organic Chemistry 816
- Virology 134
- Computational Theory and Mathematics 345
- Molecular Biology 1.3k
Countries citing papers authored by David K. Chalmers
This map shows the geographic impact of David K. Chalmers'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 David K. Chalmers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Chalmers more than expected).
Fields of papers citing papers by David K. Chalmers
This network shows the impact of papers produced by David K. Chalmers. 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 David K. Chalmers. The network helps show where David K. Chalmers may publish in the future.
Co-authors
The 25 scholars most cited alongside David K. Chalmers, 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 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 7 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 60 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 35 | |
| 12 | 2020 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2018 | 5 | |
| 15 | 2018 | 15 | |
| 16 | 2018 | 3 | |
| 17 | 2018 | 52 | |
| 18 | 2017 | 132 | |
| 19 | 2017 | 25 | |
| 20 | 2016 | 28 |
About David K. Chalmers
David K. Chalmers is a scholar working on Virology, Pharmaceutical Science, Organic Chemistry, Molecular Biology and Computational Theory and Mathematics, having authored 109 papers that have together received 2.6k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (20 papers), Receptor Mechanisms and Signaling (15 papers), Computational Drug Discovery Methods (14 papers), Surfactants and Colloidal Systems (11 papers), Analytical Chemistry and Chromatography (9 papers), Drug Solubulity and Delivery Systems (9 papers), HIV/AIDS drug development and treatment (9 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Pharmaceutical Science (267 citations), Organic Chemistry (816 citations), Virology (134 citations), Computational Theory and Mathematics (345 citations) and Molecular Biology (1.3k citations). David K. Chalmers has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Elizabeth Yuriev, Colin W. Pouton, Dallas B. Warren, Garland R. Marshall, David T. Manallack, Richard J. Prankerd, Billy J. Williams‐Noonan, Tudor I. Oprea, M.J. Scanlon and Philip E. Thompson. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Pharmaceutics, Journal of Chemical Information and Modeling, ChemMedChem and Journal of Pharmaceutical Sciences.
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.