Edwin G. Tse

773 total citations · 1 hit paper
7 papers, 449 citations indexed

About

Edwin G. Tse is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Edwin G. Tse has authored 7 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Edwin G. Tse's work include Computational Drug Discovery Methods (3 papers), HIV/AIDS drug development and treatment (2 papers) and Research on Leishmaniasis Studies (2 papers). Edwin G. Tse is often cited by papers focused on Computational Drug Discovery Methods (3 papers), HIV/AIDS drug development and treatment (2 papers) and Research on Leishmaniasis Studies (2 papers). Edwin G. Tse collaborates with scholars based in United Kingdom, Australia and United States. Edwin G. Tse's co-authors include Matthew H. Todd, Marat Korsik, Raman Sharma, Louis M. Rendina, Gregory S. Walker, Sevan D. Houston, Craig M. Williams, G. Paul Savage, Irene Hallyburton and Mark Anderson and has published in prestigious journals such as Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Frontiers in Pharmacology.

In The Last Decade

Edwin G. Tse

5 papers receiving 438 citations

Hit Papers

The past, present and future of anti-malarial medicines 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edwin G. Tse United Kingdom 4 182 145 141 112 50 7 449
Julie Clark United States 14 191 1.0× 199 1.4× 209 1.5× 159 1.4× 57 1.1× 18 554
Hardwin O’Dowd United States 13 167 0.9× 277 1.9× 151 1.1× 97 0.9× 65 1.3× 19 467
Liezl Gibhard South Africa 12 176 1.0× 87 0.6× 99 0.7× 81 0.7× 50 1.0× 25 353
Marat Korsik Australia 2 180 1.0× 66 0.5× 97 0.7× 86 0.8× 47 0.9× 2 306
Félix Calderón Spain 11 156 0.9× 112 0.8× 120 0.9× 79 0.7× 41 0.8× 21 323
W. Armand Guiguemde United States 14 252 1.4× 228 1.6× 167 1.2× 121 1.1× 64 1.3× 18 533
Elizabeth Hamelink Sweden 14 203 1.1× 180 1.2× 227 1.6× 195 1.7× 70 1.4× 16 508
Alison E. Shone United Kingdom 10 348 1.9× 208 1.4× 164 1.2× 149 1.3× 97 1.9× 11 579
Godwin Akpeko Dziwornu South Africa 13 90 0.5× 102 0.7× 129 0.9× 60 0.5× 60 1.2× 27 332
Michael P. Kozar United States 13 150 0.8× 131 0.9× 127 0.9× 42 0.4× 26 0.5× 26 463

Countries citing papers authored by Edwin G. Tse

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Edwin G. Tse

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin G. Tse. A scholar is included among the top collaborators of Edwin G. Tse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edwin G. Tse. Edwin G. Tse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Hossain, Mohammad Anwar, Edwin G. Tse, Daniel N. Streblow, et al.. (2025). N -Alkyl Sulfamates as a New Class of nsP2 Cysteine Protease Inhibitors with Broad-Spectrum Antialphaviral Activity. Journal of Medicinal Chemistry. 68(21). 22918–22937.
2.
Turón, Gemma, Edwin G. Tse, Xin Qiu, Matthew H. Todd, & Miquel Duran‐Frigola. (2024). Open Source Code Contributions to Global Health: The Case of Antimalarial Drug Discovery. ACS Medicinal Chemistry Letters. 15(9). 1645–1650.
3.
Dichiara, Maria, Hitesh B. Jalani, Edwin G. Tse, et al.. (2023). Structure–Property Optimization of a Series of Imidazopyridines for Visceral Leishmaniasis. ACS Infectious Diseases. 9(8). 1470–1487. 1 indexed citations
4.
Korsik, Marat, Edwin G. Tse, David G. Smith, et al.. (2020). tele -Substitution Reactions in the Synthesis of a Promising Class of 1,2,4-Triazolo[4,3- a ]pyrazine-Based Antimalarials. The Journal of Organic Chemistry. 85(21). 13438–13452. 6 indexed citations
5.
Tse, Edwin G., Sevan D. Houston, Craig M. Williams, et al.. (2020). Nonclassical Phenyl Bioisosteres as Effective Replacements in a Series of Novel Open-Source Antimalarials. Journal of Medicinal Chemistry. 63(20). 11585–11601. 105 indexed citations
6.
Tse, Edwin G., Marat Korsik, & Matthew H. Todd. (2019). The past, present and future of anti-malarial medicines. Malaria Journal. 18(1). 93–93. 300 indexed citations breakdown →
7.
Windley, Monique J., Edwin G. Tse, Matthew H. Todd, et al.. (2018). Experimentally Validated Pharmacoinformatics Approach to Predict hERG Inhibition Potential of New Chemical Entities. Frontiers in Pharmacology. 9. 1035–1035. 37 indexed citations

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.

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