Monkol Lek

43.4k citations
76 papers · 2.0k indexed · h-index 27
Topics
Muscle Physiology and Disorders (29 papers)Genomics and Rare Diseases (11 papers)Cardiomyopathy and Myosin Studies (10 papers)

In The Last Decade

Monkol Lek

72 papers receiving 1.9k citations

Peers

Monkol Lek
Comparison fields: 5 of 105
  • Molecular Biology 1.2k
  • Genetics 827
  • Cardiology and Cardiovascular Medicine 412
  • Cellular and Molecular Neuroscience 379
  • Orthopedics and Sports Medicine 267
Replace Sasha Bogdanovich with:
Sasha Bogdanovich United States
Paul J. Yaworsky United States
Bertrand Isidor France
Annalisa Botta Italy
C. Jimenez‐Mallebrera Spain
Yoshio Makita Japan
Claude A. Dechesne France
Sara T. Winokur United States
Valeria Parente Italy
Patrizia Ciscato Italy
Monkol Lek relative to Sasha Bogdanovich United States Sasha Bogdanovich's profile →
Citations per field
00.5×7.2×
Sasha Bogdanovich · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 3
3 18
4 6
5 3
6 3
7 53
8 0
9 45
10 29
11 57
12 17
13 36
14
The identification of LGMD2G (TCAP) in Australia
3
15 8
16 124
17 84
18 39
19 37
20
Data Mining Prototype for Detecting eCommerce Fraud
6

About Monkol Lek

Monkol Lek is a scholar working on Genetics, Genetics and Orthopedics and Sports Medicine, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (29 papers), Genomics and Rare Diseases (11 papers) and Cardiomyopathy and Myosin Studies (10 papers). The work is most often cited by research in Orthopedics and Sports Medicine (267 citations), Genetics (827 citations) and Genetics (263 citations). Monkol Lek has collaborated with scholars based in United States, Australia and United Kingdom. Frequent 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. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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