Lakmal Jayasinghe

4.1k total citations · 1 hit paper
15 papers, 2.2k citations indexed

About

Lakmal Jayasinghe is a scholar working on Biomedical Engineering, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Lakmal Jayasinghe has authored 15 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 11 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Lakmal Jayasinghe's work include Nanopore and Nanochannel Transport Studies (13 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Bacteriophages and microbial interactions (4 papers). Lakmal Jayasinghe is often cited by papers focused on Nanopore and Nanochannel Transport Studies (13 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Bacteriophages and microbial interactions (4 papers). Lakmal Jayasinghe collaborates with scholars based in United Kingdom, United States and Slovenia. Lakmal Jayasinghe's co-authors include Hagan Bayley, Alpesh Patel, S. Reid, Hai‐Chen Wu, James Clarke, Dvir Rotem, Stefan Howorka, Adam Dorey, Yongzheng Xing and Michael R. Jordan and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lakmal Jayasinghe

15 papers receiving 2.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Continuous base identification for single-molecule nanopore DNA sequencing

2009 1.3k citations James Clarke, Hai‐Chen Wu et al. Nature Nanotechnology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lakmal Jayasinghe	1.4k	1.3k	367	224	183	15	2.2k
Mikhail Pavlenok	1.7k 1.2×	1.2k 0.9×	515 1.4×	330 1.5×	230 1.3×	22	2.4k
David S. McNabb	1.1k 0.8×	1.0k 0.8×	379 1.0×	324 1.4×	213 1.2×	27	2.2k
Kate R. Lieberman	874 0.6×	2.4k 1.8×	250 0.7×	155 0.7×	225 1.2×	20	2.9k
Misha Soskine	1.0k 0.7×	930 0.7×	228 0.6×	246 1.1×	146 0.8×	23	1.7k
Steven W. Graves	1.2k 0.9×	822 0.6×	339 0.9×	48 0.2×	64 0.3×	65	2.0k
Jean‐Michel Betton	1.0k 0.7×	2.0k 1.5×	283 0.8×	320 1.4×	489 2.7×	63	3.2k
Jingmin Jin	567 0.4×	623 0.5×	183 0.5×	122 0.5×	116 0.6×	15	1.1k
Michael R. Hobaugh	1.3k 0.9×	1.4k 1.1×	231 0.6×	151 0.7×	119 0.7×	7	2.3k
Scott M. Knudsen	851 0.6×	874 0.7×	576 1.6×	35 0.2×	122 0.7×	24	2.1k
Daniel Mark	2.6k 1.9×	856 0.6×	872 2.4×	76 0.3×	213 1.2×	48	3.4k

Countries citing papers authored by Lakmal Jayasinghe

Since Specialization

Citations

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

Fields of papers citing papers by Lakmal Jayasinghe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lakmal Jayasinghe

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

All Works

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15 of 15 papers shown

Xing, Yongzheng, Adam Dorey, Lakmal Jayasinghe, & Stefan Howorka. (2022). Highly shape- and size-tunable membrane nanopores made with DNA. Nature Nanotechnology. 17(7). 708–713. 86 indexed citations

Zhang, Long, Miranda L. Gardner, Lakmal Jayasinghe, et al.. (2021). Detection of single peptide with only one amino acid modification via electronic fingerprinting using reengineered durable channel of Phi29 DNA packaging motor. Biomaterials. 276. 121022–121022. 11 indexed citations

Zhang, Long, et al.. (2021). Macromolecule sensing and tumor biomarker detection by harnessing terminal size and hydrophobicity of viral DNA packaging motor channels into membranes and flow cells. Biomaterials Science. 10(1). 167–177. 4 indexed citations

Verren, Sander E. Van der, Nani Van Gerven, Wim Jonckheere, et al.. (2020). A dual-constriction biological nanopore resolves homonucleotide sequences with high fidelity. Nature Biotechnology. 38(12). 1415–1420. 93 indexed citations

Jordan, Michael R., et al.. (2020). Insertion of channel of phi29 DNA packaging motor into polymer membrane for high-throughput sensing. Nanomedicine Nanotechnology Biology and Medicine. 25. 102170–102170. 9 indexed citations

Podobnik, Marjetka, Peter Savory, Nejc Rojko, et al.. (2016). Crystal structure of an invertebrate cytolysin pore reveals unique properties and mechanism of assembly. Nature Communications. 7(1). 11598–11598. 72 indexed citations

Rotem, Dvir, et al.. (2012). Protein Detection by Nanopores Equipped with Aptamers. Journal of the American Chemical Society. 134(5). 2781–2787. 265 indexed citations

Jayasinghe, Lakmal, et al.. (2011). Subunit Dimers of α-Hemolysin Expand the Engineering Toolbox for Protein Nanopores. Journal of Biological Chemistry. 286(16). 14324–14334. 17 indexed citations

Clarke, James, Hai‐Chen Wu, Lakmal Jayasinghe, et al.. (2009). Continuous base identification for single-molecule nanopore DNA sequencing. Nature Nanotechnology. 4(4). 265–270. 1308 indexed citations breakdown →

10.

Holden, Matthew A., et al.. (2006). Direct transfer of membrane proteins from bacteria to planar bilayers for rapid screening by single-channel recording. Nature Chemical Biology. 2(6). 314–318. 41 indexed citations

11.

Jayasinghe, Lakmal & Hagan Bayley. (2005). The leukocidin pore: Evidence for an octamer with four LukF subunits and four LukS subunits alternating around a central axis. Protein Science. 14(10). 2550–2561. 63 indexed citations

12.

Jayasinghe, Lakmal, et al.. (2005). Role of the Amino Latch of Staphylococcal α-Hemolysin in Pore Formation. Journal of Biological Chemistry. 281(4). 2195–2204. 45 indexed citations

13.

Jayasinghe, Lakmal, et al.. (2005). Assembly of the Bi-component Leukocidin Pore Examined by Truncation Mutagenesis. Journal of Biological Chemistry. 281(4). 2205–2214. 12 indexed citations

14.

Bayley, Hagan, Lakmal Jayasinghe, & Mark I. Wallace. (2005). Prepore for a breakthrough. Nature Structural & Molecular Biology. 12(5). 385–386. 24 indexed citations

15.

Bayley, Hagan & Lakmal Jayasinghe. (2004). Functional engineered channels and pores (Review). Molecular Membrane Biology. 21(4). 209–220. 164 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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