Monkol Lek

43.4k total citations
76 papers, 2.0k citations indexed

About

Monkol Lek is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Monkol Lek has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 27 papers in Genetics and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Monkol Lek's work include Muscle Physiology and Disorders (29 papers), Genomics and Rare Diseases (11 papers) and Cardiomyopathy and Myosin Studies (10 papers). Monkol Lek is often cited by papers focused on Muscle Physiology and Disorders (29 papers), Genomics and Rare Diseases (11 papers) and Cardiomyopathy and Myosin Studies (10 papers). Monkol Lek collaborates with scholars based in United States, Australia and United Kingdom. Monkol Lek's co-authors include Daniel G. MacArthur, Kathryn N. North, Kate Quinlan, Sandra T. Cooper, Nan Yang, Jane T. Seto, Angela Lek, Peter J. Houweling, Nigel F. Clarke and Nigel G. Laing and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Monkol Lek

72 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monkol Lek United States 27 1.2k 827 412 379 267 76 2.0k
Sasha Bogdanovich United States 21 1.9k 1.6× 319 0.4× 295 0.7× 213 0.6× 37 0.1× 33 2.3k
Annalisa Botta Italy 28 1.7k 1.4× 313 0.4× 214 0.5× 923 2.4× 36 0.1× 98 2.4k
Claude A. Dechesne France 29 1.4k 1.2× 216 0.3× 415 1.0× 157 0.4× 48 0.2× 53 2.2k
C. Jimenez‐Mallebrera Spain 25 1.5k 1.2× 177 0.2× 273 0.7× 256 0.7× 15 0.1× 78 1.9k
Paul J. Yaworsky United States 16 1.5k 1.3× 362 0.4× 74 0.2× 87 0.2× 329 1.2× 26 1.9k
Bertrand Isidor France 26 1.3k 1.1× 908 1.1× 54 0.1× 144 0.4× 23 0.1× 112 2.1k
Sara T. Winokur United States 19 2.5k 2.2× 984 1.2× 449 1.1× 285 0.8× 17 0.1× 23 3.1k
Katja S. Grossmann Germany 12 706 0.6× 110 0.1× 779 1.9× 191 0.5× 347 1.3× 12 1.7k
Anna Vihola Finland 25 2.1k 1.8× 147 0.2× 1.3k 3.2× 654 1.7× 21 0.1× 51 2.5k
Valeria Parente Italy 16 1.0k 0.9× 133 0.2× 87 0.2× 85 0.2× 44 0.2× 25 1.4k

Countries citing papers authored by Monkol Lek

Since Specialization
Citations

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

Fields of papers citing papers by Monkol Lek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monkol Lek

This figure shows the co-authorship network connecting the top 25 collaborators of Monkol Lek. A scholar is included among the top collaborators of Monkol Lek 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 Monkol Lek. Monkol Lek 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.
Adams, Erwin, et al.. (2025). Precision multiplexed base editing in human cells using Cas12a-derived base editors. Nature Communications. 16(1). 5061–5061.
2.
Rehman, Michael, Xin Tian, Steven Lim Cho Pei, et al.. (2024). Glis2 is an early effector of polycystin signaling and a target for therapy in polycystic kidney disease. Nature Communications. 15(1). 3698–3698. 3 indexed citations
3.
Lake, Nicole J., Kaiyue Ma, Wei Liu, et al.. (2024). Quantifying constraint in the human mitochondrial genome. Nature. 635(8038). 390–397. 18 indexed citations
4.
Ma, Kaiyue, Shushu Huang, Kenneth Ng, et al.. (2024). Saturation mutagenesis-reinforced functional assays for disease-related genes. Cell. 187(23). 6707–6724.e22. 6 indexed citations
5.
Hong, Yun Soo, Sergiu Paşca, Daniela Puiu, et al.. (2024). Mitochondrial heteroplasmy improves risk prediction for myeloid neoplasms. Nature Communications. 15(1). 10133–10133. 3 indexed citations
6.
Lake, Nicole J., et al.. (2022). MitoVisualize: a resource for analysis of variants in human mitochondrial RNAs and DNA. Bioinformatics. 38(10). 2967–2969. 3 indexed citations
7.
Laricchia, Kristen M., Nicole J. Lake, Nicholas A. Watts, et al.. (2022). Mitochondrial DNA variation across 56,434 individuals in gnomAD. Genome Research. 32(3). 569–582. 53 indexed citations
8.
Lek, Angela, Kaiyue Ma, Keryn G. Woodman, & Monkol Lek. (2021). Nuclease-Deficient Clustered Regularly Interspaced Short Palindromic Repeat-Based Approaches for In Vitro and In Vivo Gene Activation. Human Gene Therapy. 32(5-6). 260–274.
9.
Lek, Angela, Tracy Zhang, Keryn G. Woodman, et al.. (2020). Applying genome-wide CRISPR-Cas9 screens for therapeutic discovery in facioscapulohumeral muscular dystrophy. Science Translational Medicine. 12(536). 45 indexed citations
10.
Cohen, Justin, Alec M. DeSimone, Monkol Lek, & Angela Lek. (2020). Therapeutic Approaches in Facioscapulohumeral Muscular Dystrophy. Trends in Molecular Medicine. 27(2). 123–137. 29 indexed citations
11.
Pajusalu, Sander, Nicole J. Lake, Geyu Zhou, et al.. (2019). Estimating prevalence for limb-girdle muscular dystrophy based on public sequencing databases. Genetics in Medicine. 21(11). 2512–2520. 57 indexed citations
12.
Jamshidi, Farzad, Emily Place, Sudeep Mehrotra, et al.. (2018). Contribution of noncoding pathogenic variants to RPGRIP1-mediated inherited retinal degeneration. Genetics in Medicine. 21(3). 694–704. 17 indexed citations
13.
Harris, Elizabeth, Ana Töpf, Rita Barresi, et al.. (2017). Exome sequences versus sequential gene testing in the UK highly specialised Service for Limb Girdle Muscular Dystrophy. Orphanet Journal of Rare Diseases. 12(1). 151–151. 36 indexed citations
14.
Lek, Monkol, et al.. (2012). The identification of LGMD2G (TCAP) in Australia. Neuromuscular Disorders. 22. 3 indexed citations
15.
MacArthur, Daniel G. & Monkol Lek. (2012). The uncertain road towards genomic medicine. Trends in Genetics. 28(7). 303–305. 8 indexed citations
16.
Burns, Joshua, Robert Ouvrier, Tim Estilow, et al.. (2012). Validation of the Charcot–Marie–Tooth disease pediatric scale as an outcome measure of disability. Annals of Neurology. 71(5). 642–652. 124 indexed citations
17.
Seto, Jane T., Monkol Lek, Kate Quinlan, et al.. (2011). Deficiency of α-actinin-3 is associated with increased susceptibility to contraction-induced damage and skeletal muscle remodeling. Human Molecular Genetics. 20(15). 2914–2927. 84 indexed citations
18.
Yang, Nan, Aaron Schindeler, Michelle M. McDonald, et al.. (2011). α-Actinin-3 deficiency is associated with reduced bone mass in human and mouse. Bone. 49(4). 790–798. 39 indexed citations
19.
Lek, Monkol, Kate Quinlan, & Kathryn N. North. (2009). The evolution of skeletal muscle performance: gene duplication and divergence of human sarcomeric α‐actinins. BioEssays. 32(1). 17–25. 37 indexed citations
20.
Lek, Monkol, et al.. (2001). Data Mining Prototype for Detecting eCommerce Fraud. Journal of the Association for Information Systems. 160–165. 6 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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