Lawrence Mok

476 total citations
10 papers, 331 citations indexed

About

Lawrence Mok is a scholar working on Infectious Diseases, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Lawrence Mok has authored 10 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Animal Science and Zoology. Recurrent topics in Lawrence Mok's work include Viral Infections and Vectors (5 papers), Animal Virus Infections Studies (4 papers) and Viral Infections and Outbreaks Research (3 papers). Lawrence Mok is often cited by papers focused on Viral Infections and Vectors (5 papers), Animal Virus Infections Studies (4 papers) and Viral Infections and Outbreaks Research (3 papers). Lawrence Mok collaborates with scholars based in Australia, Singapore and United Kingdom. Lawrence Mok's co-authors include James W. Wynne, Michelle L. Baker, Victoria Boyd, Lin‐Fa Wang, Mary Tachedjian, Peng Zhou, Wojtek P. Michalski, Christopher Cowled, Justin H. J. Ng and Gilda Tachedjian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Lawrence Mok

10 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lawrence Mok Australia	7	225	77	76	76	71	10	331
Jonathan C. Guito United States	10	298 1.3×	76 1.0×	99 1.3×	146 1.9×	57 0.8×	18	463
Karen R. Buttigieg United Kingdom	6	249 1.1×	85 1.1×	102 1.3×	68 0.9×	37 0.5×	7	379
R. Wash United Kingdom	8	206 0.9×	162 2.1×	143 1.9×	97 1.3×	61 0.9×	12	397
Weiye Chen China	11	184 0.8×	96 1.2×	107 1.4×	71 0.9×	69 1.0×	32	401
Andreas Schoen Germany	8	229 1.0×	105 1.4×	48 0.6×	56 0.7×	58 0.8×	14	316
Isabel García-Dorival United Kingdom	11	249 1.1×	46 0.6×	55 0.7×	78 1.0×	70 1.0×	20	362
Claire Pardieu United Kingdom	5	72 0.3×	73 0.9×	35 0.5×	84 1.1×	64 0.9×	7	265
J. M. Emeny United Kingdom	3	210 0.9×	120 1.6×	24 0.3×	127 1.7×	75 1.1×	6	366
Ariel E. Leon United States	8	111 0.5×	44 0.6×	34 0.4×	29 0.4×	33 0.5×	17	287
Naazneen Moolla South Africa	9	150 0.7×	42 0.5×	34 0.4×	238 3.1×	143 2.0×	15	409

Countries citing papers authored by Lawrence Mok

Since Specialization

Citations

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

Fields of papers citing papers by Lawrence Mok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Mok

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

All Works

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10 of 10 papers shown

Mok, Lawrence, et al.. (2024). Non-canonical RNA substrates of Drosha lack many of the conserved features found in primary microRNA stem-loops. Scientific Reports. 14(1). 6713–6713. 1 indexed citations

Skinner, Jarrod P., et al.. (2022). MYL9 deficiency is neonatal lethal in mice due to abnormalities in the lung and the muscularis propria of the bladder and intestine. PLoS ONE. 17(7). e0270820–e0270820. 3 indexed citations

Mok, Lawrence, et al.. (2018). Regulating gene expression in animals through RNA endonucleolytic cleavage. Heliyon. 4(11). e00908–e00908. 16 indexed citations

Mok, Lawrence, James W. Wynne, Mary Tachedjian, et al.. (2017). Proteomics informed by transcriptomics for characterising differential cellular susceptibility to Nelson Bay orthoreovirus infection. BMC Genomics. 18(1). 615–615. 6 indexed citations

Zhou, Peng, Mary Tachedjian, James W. Wynne, et al.. (2016). Contraction of the type I IFN locus and unusual constitutive expression ofIFN-αin bats. Proceedings of the National Academy of Sciences. 113(10). 2696–2701. 221 indexed citations

Mok, Lawrence, et al.. (2015). Proteomic analysis of Pteropus alecto kidney cells in response to the viral mimic, Poly I:C. Proteome Science. 13(1). 25–25. 6 indexed citations

Mok, Lawrence, Brian J. Shiell, Paul Monaghan, et al.. (2015). Mouse fibroblast L929 cells are less permissive to infection by Nelson Bay orthoreovirus compared to other mammalian cell lines. Journal of General Virology. 96(7). 1787–1794. 9 indexed citations

Wynne, James W., Brian J. Shiell, Glenn A. Marsh, et al.. (2014). Proteomics informed by transcriptomics reveals Hendra virus sensitizes bat cells to TRAIL-mediated apoptosis. Genome biology. 15(11). 12 indexed citations

Wynne, James W., Brian J. Shiell, Glenn A. Marsh, et al.. (2014). Proteomics informed by transcriptomics reveals Hendra virus sensitizes bat cells to TRAIL mediated apoptosis. Genome Biology. 15(11). 532–532. 41 indexed citations

10.

Mok, Lawrence, et al.. (1996). Endothelin and PDGF enhance arachidonic acid release and DNA synthesis in vascular smooth muscle cells. American Journal of Physiology-Cell Physiology. 270(6). C1642–C1646. 16 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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