Craig Lapsley

1.2k total citations
21 papers, 815 citations indexed

About

Craig Lapsley is a scholar working on Epidemiology, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Craig Lapsley has authored 21 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Molecular Biology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Craig Lapsley's work include Trypanosoma species research and implications (11 papers), Plant and animal studies (6 papers) and Research on Leishmaniasis Studies (5 papers). Craig Lapsley is often cited by papers focused on Trypanosoma species research and implications (11 papers), Plant and animal studies (6 papers) and Research on Leishmaniasis Studies (5 papers). Craig Lapsley collaborates with scholars based in United Kingdom, Brazil and United States. Craig Lapsley's co-authors include Tim G. Benton, Andrew P. Beckerman, Stewart J. Plaistow, Richard McCulloch, Nils Koesters, Kathryn Crouch, Emma M. Briggs, Leandro Lemgruber, Graham Hamilton and Catarina A. Marques and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Craig Lapsley

20 papers receiving 782 citations

Peers

Craig Lapsley
Craig Lapsley
Citations per year, relative to Craig Lapsley Craig Lapsley (= 1×) peers Jonathan Stuart Ready

Countries citing papers authored by Craig Lapsley

Since Specialization
Citations

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

Fields of papers citing papers by Craig Lapsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Lapsley

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Lapsley. A scholar is included among the top collaborators of Craig Lapsley 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 Craig Lapsley. Craig Lapsley 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.
Marques, Catarina A., et al.. (2025). Leishmania major chromosomes are replicated from a single high-efficiency locus supplemented by thousands of lower efficiency initiation events. Cell Reports. 44(8). 116094–116094. 1 indexed citations
2.
Marques, Catarina A., Emma M. Briggs, Craig Lapsley, et al.. (2025). Nanopore sequencing reveals that DNA replication compartmentalisation dictates genome stability and instability in Trypanosoma brucei. Nature Communications. 16(1). 751–751. 2 indexed citations
3.
Damasceno, Jeziel D., et al.. (2025). R-loops acted on by RNase H1 influence DNA replication timing and genome stability in Leishmania. Nature Communications. 16(1). 1470–1470. 3 indexed citations
4.
Marques, Catarina A., Jeziel D. Damasceno, Craig Lapsley, et al.. (2023). RAD51-mediated R-loop formation acts to repair transcription-associated DNA breaks driving antigenic variation in Trypanosoma brucei. Proceedings of the National Academy of Sciences. 120(48). e2309306120–e2309306120. 7 indexed citations
5.
Damasceno, Jeziel D., João Luís Reis-Cunha, Kathryn Crouch, et al.. (2020). Conditional knockout of RAD51-related genes in Leishmania major reveals a critical role for homologous recombination during genome replication. PLoS Genetics. 16(7). e1008828–e1008828. 23 indexed citations
6.
Damasceno, Jeziel D., Catarina A. Marques, Dario Beraldi, et al.. (2020). Genome duplication in Leishmania major relies on persistent subtelomeric DNA replication. eLife. 9. 17 indexed citations
7.
Black, Jennifer Ann, Kathryn Crouch, Leandro Lemgruber, et al.. (2020). Trypanosoma brucei ATR Links DNA Damage Signaling during Antigenic Variation with Regulation of RNA Polymerase I-Transcribed Surface Antigens. Cell Reports. 30(3). 836–851.e5. 15 indexed citations
8.
Briggs, Emma M., Kathryn Crouch, Leandro Lemgruber, et al.. (2019). Trypanosoma brucei ribonuclease H2A is an essential R-loop processing enzyme whose loss causes DNA damage during transcription initiation and antigenic variation. Nucleic Acids Research. 47(17). 9180–9197. 25 indexed citations
9.
Briggs, Emma M., Kathryn Crouch, Leandro Lemgruber, Craig Lapsley, & Richard McCulloch. (2018). Ribonuclease H1-targeted R-loops in surface antigen gene expression sites can direct trypanosome immune evasion. PLoS Genetics. 14(12). e1007729–e1007729. 34 indexed citations
10.
Briggs, Emma M., Graham Hamilton, Kathryn Crouch, Craig Lapsley, & Richard McCulloch. (2018). Genome-wide mapping reveals conserved and diverged R-loop activities in the unusual genetic landscape of the African trypanosome genome. Nucleic Acids Research. 46(22). 11789–11805. 25 indexed citations
11.
Devlin, Rebecca, Catarina A. Marques, Daniel Paape, et al.. (2016). Mapping replication dynamics in Trypanosoma brucei reveals a link with telomere transcription and antigenic variation. eLife. 5. 42 indexed citations
12.
Lapsley, Craig, et al.. (2011). Interactions among Trypanosoma brucei RAD51 paralogues in DNA repair and antigenic variation. Molecular Microbiology. 81(2). 434–456. 21 indexed citations
13.
Lapsley, Craig. (2011). Opinion: Fire Services Commissioner for Victoria. Australian Journal of Emergency Management. 26(2). 15. 1 indexed citations
14.
Plaistow, Stewart J., Craig Lapsley, & Tim G. Benton. (2006). Context‐Dependent Intergenerational Effects: The Interaction between Past and Present Environments and Its Effect on Population Dynamics. The American Naturalist. 167(2). 206–215. 130 indexed citations
15.
Benton, Tim G., et al.. (2005). Changes in maternal investment in eggs can affect population dynamics. Proceedings of the Royal Society B Biological Sciences. 272(1570). 1351–1356. 116 indexed citations
16.
Beckerman, Andrew P., Tim G. Benton, Craig Lapsley, & Nils Koesters. (2005). How effective are maternal effects at having effects?. Proceedings of the Royal Society B Biological Sciences. 273(1585). 485–493. 50 indexed citations
17.
Plaistow, Stewart J., Craig Lapsley, Andrew P. Beckerman, & Tim G. Benton. (2004). Age and size at maturity: sex, environmental variability and developmental thresholds. Proceedings of the Royal Society B Biological Sciences. 271(1542). 919–924. 80 indexed citations
18.
Beckerman, Andrew P., Tim G. Benton, Craig Lapsley, & Nils Koesters. (2003). Talkin’ 'bout My Generation: Environmental Variability and Cohort Effects. The American Naturalist. 162(6). 754–767. 77 indexed citations
19.
Benton, Tim G., Craig Lapsley, & Andrew P. Beckerman. (2002). The population response to environmental noise: population size, variance and correlation in an experimental system. Journal of Animal Ecology. 71(2). 320–332. 46 indexed citations
20.
Benton, Tim G., Craig Lapsley, & Andrew P. Beckerman. (2001). Population synchrony and environmental variation: an experimental demonstration. Ecology Letters. 4(3). 236–243. 64 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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