Sachel Mok

4.9k total citations
35 papers, 2.4k citations indexed

About

Sachel Mok is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Oncology. According to data from OpenAlex, Sachel Mok has authored 35 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Public Health, Environmental and Occupational Health, 8 papers in Infectious Diseases and 7 papers in Oncology. Recurrent topics in Sachel Mok's work include Malaria Research and Control (34 papers), Mosquito-borne diseases and control (12 papers) and HIV/AIDS drug development and treatment (8 papers). Sachel Mok is often cited by papers focused on Malaria Research and Control (34 papers), Mosquito-borne diseases and control (12 papers) and HIV/AIDS drug development and treatment (8 papers). Sachel Mok collaborates with scholars based in Singapore, United States and United Kingdom. Sachel Mok's co-authors include Zbynek Bozdech, David A. Fidock, Peter R. Preiser, Kathryn J. Wicht, Archna P. Gupta, Lei Zhu, Arjen M. Dondorp, Guangan Hu, François Nosten and Bruce Russell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.

In The Last Decade

Sachel Mok

33 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sachel Mok Singapore 23 2.0k 582 527 475 324 35 2.4k
Souvik Bhattacharjee United States 17 1.6k 0.8× 628 1.1× 356 0.7× 330 0.7× 326 1.0× 36 2.4k
Jun Miao United States 29 1.5k 0.8× 870 1.5× 530 1.0× 275 0.6× 287 0.9× 73 2.3k
José-Juan Lopez-Rubio France 20 1.7k 0.8× 1.1k 1.9× 617 1.2× 236 0.5× 285 0.9× 35 2.4k
Puran Singh Sijwali India 24 1.6k 0.8× 652 1.1× 315 0.6× 430 0.9× 293 0.9× 52 2.4k
Matthew T. O’Neill Australia 22 1.7k 0.8× 546 0.9× 609 1.2× 211 0.4× 453 1.4× 34 2.2k
David Plouffe United States 19 1.5k 0.7× 895 1.5× 359 0.7× 396 0.8× 199 0.6× 24 2.4k
Paul Horrocks United Kingdom 30 1.9k 0.9× 955 1.6× 781 1.5× 178 0.4× 268 0.8× 68 2.8k
Justin A. Boddey Australia 24 1.5k 0.8× 529 0.9× 492 0.9× 209 0.4× 520 1.6× 47 2.3k
Chrislaine Withers‐Martinez United Kingdom 29 2.1k 1.0× 900 1.5× 849 1.6× 244 0.5× 633 2.0× 53 3.0k
Nelly Camargo United States 22 2.0k 1.0× 578 1.0× 717 1.4× 167 0.4× 525 1.6× 35 2.4k

Countries citing papers authored by Sachel Mok

Since Specialization
Citations

This map shows the geographic impact of Sachel Mok'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 Sachel Mok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachel Mok more than expected).

Fields of papers citing papers by Sachel Mok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sachel Mok. 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 Sachel Mok. The network helps show where Sachel Mok may publish in the future.

Co-authorship network of co-authors of Sachel Mok

This figure shows the co-authorship network connecting the top 25 collaborators of Sachel Mok. A scholar is included among the top collaborators of Sachel Mok 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 Sachel Mok. Sachel Mok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nguyen, Tran Dang, Daniel B. Weissman, Sachel Mok, et al.. (2025). Effects of recombination on multi-drug resistance evolution in Plasmodium falciparum malaria. PLoS Computational Biology. 21(8). e1013401–e1013401.
2.
Summers, Robert L., Gabriel W. Rangel, Sachel Mok, et al.. (2025). The plasmepsin-piperaquine paradox persists in Plasmodium falciparum. PLoS Pathogens. 21(7). e1012779–e1012779.
3.
Yeo, Tomas, et al.. (2024). Plasmodium falciparum African PfCRT Mutant Isoforms Conducive to Piperaquine Resistance Are Infrequent and Impart a Major Fitness Cost. The Journal of Infectious Diseases. 231(5). e976–e985. 2 indexed citations
4.
Okombo, John, Sachel Mok, Tomas Yeo, et al.. (2022). Piperaquine-resistant PfCRT mutations differentially impact drug transport, hemoglobin catabolism and parasite physiology in Plasmodium falciparum asexual blood stages. PLoS Pathogens. 18(10). e1010926–e1010926. 12 indexed citations
5.
Mok, Sachel, Barbara H. Stokes, Nina F. Gnädig, et al.. (2021). Artemisinin-resistant K13 mutations rewire Plasmodium falciparum’s intra-erythrocytic metabolic program to enhance survival. Nature Communications. 12(1). 530–530. 89 indexed citations
6.
Cox, Horace, Angela M. Early, Sachel Mok, et al.. (2020). Local emergence in Amazonia of Plasmodium falciparum k13 C580Y mutants associated with in vitro artemisinin resistance. eLife. 9. 100 indexed citations
7.
Gnädig, Nina F., Barbara H. Stokes, Rachel L. Edwards, et al.. (2020). Insights into the intracellular localization, protein associations and artemisinin resistance properties of Plasmodium falciparum K13. PLoS Pathogens. 16(4). e1008482–e1008482. 49 indexed citations
8.
Rono, Martin, Joyce Ngoi, Mary Nyonda, et al.. (2018). Gene copy number variation in natural populations of Plasmodium falciparum in Eastern Africa. BMC Genomics. 19(1). 372–372. 14 indexed citations
9.
Rono, Martin, Mary Nyonda, Joyce Ngoi, et al.. (2017). Adaptation of Plasmodium falciparum to its transmission environment. Nature Ecology & Evolution. 2(2). 377–387. 43 indexed citations
10.
Dhingra, Satish K., Jill M. Combrinck, Tomas Yeo, et al.. (2017). A Variant PfCRT Isoform Can Contribute to Plasmodium falciparum Resistance to the First-Line Partner Drug Piperaquine. mBio. 8(3). 96 indexed citations
11.
Zhu, Lei, Sachel Mok, Mallika Imwong, et al.. (2016). New insights into the Plasmodium vivax transcriptome using RNA-Seq. Scientific Reports. 6(1). 20498–20498. 59 indexed citations
12.
Bozdech, Zbynek, Pedro Eduardo Ferreira, & Sachel Mok. (2015). A crucial piece in the puzzle of the artemisinin resistance mechanism in Plasmodium falciparum. Trends in Parasitology. 31(8). 345–346. 8 indexed citations
13.
Gupta, Archna P., et al.. (2013). Dynamic Epigenetic Regulation of Gene Expression during the Life Cycle of Malaria Parasite Plasmodium falciparum. PLoS Pathogens. 9(2). e1003170–e1003170. 76 indexed citations
14.
Ch’ng, Jun-Hong, Sachel Mok, Zbynek Bozdech, et al.. (2013). A Whole Cell Pathway Screen Reveals Seven Novel Chemosensitizers to Combat Chloroquine Resistant Malaria. Scientific Reports. 3(1). 1734–1734. 22 indexed citations
15.
Bozdech, Zbynek, Sachel Mok, & Archna P. Gupta. (2012). DNA Microarray-Based Genome-Wide Analyses of Plasmodium Parasites. Methods in molecular biology. 923. 189–211. 15 indexed citations
17.
Mok, Sachel, Mallika Imwong, Margaret J. Mackinnon, et al.. (2011). Artemisinin resistance in Plasmodium falciparum is associated with an altered temporal pattern of transcription. BMC Genomics. 12(1). 391–391. 123 indexed citations
18.
Mackinnon, Margaret J., Sachel Mok, Moses Kortok, et al.. (2009). Comparative Transcriptional and Genomic Analysis of Plasmodium falciparum Field Isolates. PLoS Pathogens. 5(10). e1000644–e1000644. 64 indexed citations
19.
Bozdech, Zbynek, Sachel Mok, Guangan Hu, et al.. (2008). The transcriptome of Plasmodium vivax reveals divergence and diversity of transcriptional regulation in malaria parasites. Proceedings of the National Academy of Sciences. 105(42). 16290–16295. 203 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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