Jonathan D. Macdonald
Impact in
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- Computational Drug Discovery Methods
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Click Chemistry and Applications 2
- Synthesis and biological activity 1
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- Protein Degradation and Inhibitors 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Shaun R. Stauffer (6 shared papers)Joseph Alvarado (2 shared papers)Stephen W. Fesik (2 shared papers)Jason Phan (2 shared papers)Feng Wang (2 shared papers)J. Grace Shaw (2 shared papers)Edward T. Olejniczak (2 shared papers)William P. Tansey (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)Medicinal Chemistry Research (1 paper)Organic & Biomolecular Chemistry (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jonathan D. Macdonald
6 papers receiving 209 citations
Peers
Comparison fields: 5 of 53
- Computational Theory and Mathematics 93
- Infectious Diseases 56
- Organic Chemistry 74
- Molecular Biology 112
- Oncology 26
Countries citing papers authored by Jonathan D. Macdonald
This map shows the geographic impact of Jonathan D. Macdonald'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 Jonathan D. Macdonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Macdonald more than expected).
Fields of papers citing papers by Jonathan D. Macdonald
This network shows the impact of papers produced by Jonathan D. Macdonald. 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 Jonathan D. Macdonald. The network helps show where Jonathan D. Macdonald may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan D. Macdonald, 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 | 2021 | 87 | |
| 2 | 2018 | 50 | |
| 3 | 2020 | 50 | |
| 4 | 2013 | 17 | |
| 5 | 2022 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 0 |
About Jonathan D. Macdonald
Jonathan D. Macdonald is a scholar working on Organic Chemistry, Molecular Biology, Infectious Diseases, Computational Theory and Mathematics and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 211 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Click Chemistry and Applications (2 papers), Protein Degradation and Inhibitors (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), RNA and protein synthesis mechanisms (1 paper), Neuropeptides and Animal Physiology (1 paper) and Synthesis and biological activity (1 paper). The work is most often cited by research in Computational Theory and Mathematics (93 citations), Infectious Diseases (56 citations), Organic Chemistry (74 citations), Molecular Biology (112 citations) and Oncology (26 citations). Jonathan D. Macdonald has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Shaun R. Stauffer, Joseph Alvarado, Stephen W. Fesik, Jason Phan, Feng Wang, J. Grace Shaw, Edward T. Olejniczak, William P. Tansey, Woo-Jin Shin and Gabriella Lakatos. Their work appears in journals such as Journal of Medicinal Chemistry, Medicinal Chemistry Research, Organic & Biomolecular Chemistry and SHILAP Revista de lepidopterología.
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.