Edwin G. Tse
Impact in
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- Computational Drug Discovery Methods
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- Malaria Research and Control
- Mosquito-borne diseases and control
- Research on Leishmaniasis Studies
Papers in
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- Pharmacological Receptor Mechanisms and Effects 1
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Matthew H. Todd (6 shared papers)Marat Korsik (2 shared papers)Louis M. Rendina (1 shared paper)Irene Hallyburton (1 shared paper)R. Scott Obach (1 shared paper)Gregory S. Walker (1 shared paper)Craig M. Williams (1 shared paper)Raman Sharma (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)ACS Medicinal Chemistry Letters (1 paper)The Journal of Organic Chemistry (1 paper)ACS Infectious Diseases (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Edwin G. Tse
5 papers receiving 438 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computational Theory and Mathematics 112
- Public Health, Environmental and Occupational Health 182
- Organic Chemistry 145
- Pharmaceutical Science 24
- Pharmacology 28
Countries citing papers authored by Edwin G. Tse
This map shows the geographic impact of Edwin G. Tse'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 Edwin G. Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin G. Tse more than expected).
Fields of papers citing papers by Edwin G. Tse
This network shows the impact of papers produced by Edwin G. Tse. 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 Edwin G. Tse. The network helps show where Edwin G. Tse may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin G. Tse, 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 | The past, present and future of anti-malarial medicines Hit paper breakdown → | 2019 | 300 |
| 2 | 2020 | 105 | |
| 3 | 2018 | 37 | |
| 4 | 2020 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 0 |
About Edwin G. Tse
Edwin G. Tse is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 7 papers that have together received 449 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Research on Leishmaniasis Studies (2 papers), HIV/AIDS drug development and treatment (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Pharmacological Receptor Mechanisms and Effects (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Malaria Research and Control (1 paper). The work is most often cited by research in Computational Theory and Mathematics (112 citations), Public Health, Environmental and Occupational Health (182 citations), Organic Chemistry (145 citations), Pharmaceutical Science (24 citations) and Pharmacology (28 citations). Edwin G. Tse has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Matthew H. Todd, Marat Korsik, Louis M. Rendina, Irene Hallyburton, R. Scott Obach, Gregory S. Walker, Craig M. Williams, Raman Sharma, G. Paul Savage and Mark Anderson. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, The Journal of Organic Chemistry, ACS Infectious Diseases and Frontiers in Pharmacology.
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.