David Lawrence

1.5k total citations
26 papers, 761 citations indexed

About

David Lawrence is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Lawrence has authored 26 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Lawrence's work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (3 papers). David Lawrence is often cited by papers focused on MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (3 papers). David Lawrence collaborates with scholars based in Australia, United States and Malaysia. David Lawrence's co-authors include Katherine A. Pillman, Gregory J. Goodall, Cameron P. Bracken, Hamish S. Scott, David F. Callen, David P. Franklin, James R. Elmore, Robert S. Singh, David J. Carey and Genevieve A. Secker and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

David Lawrence

23 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Lawrence Australia 14 450 264 165 86 79 26 761
Katia Sampieri Italy 11 619 1.4× 248 0.9× 325 2.0× 102 1.2× 47 0.6× 14 1.0k
Erikjan Rijkers Netherlands 13 674 1.5× 93 0.4× 61 0.4× 58 0.7× 77 1.0× 17 894
Irina Neganova Russia 16 898 2.0× 139 0.5× 192 1.2× 48 0.6× 84 1.1× 41 1.1k
Francesca Ferrante Germany 11 647 1.4× 109 0.4× 64 0.4× 49 0.6× 52 0.7× 26 843
Cynthia Rothblum‐Oviatt United States 9 613 1.4× 143 0.5× 181 1.1× 77 0.9× 34 0.4× 12 847
Joy Lin United States 9 1.3k 3.0× 171 0.6× 137 0.8× 60 0.7× 44 0.6× 11 1.5k
Peter J. Cook United States 7 605 1.3× 133 0.5× 147 0.9× 41 0.5× 24 0.3× 9 804
Nalle Pentinmikko Finland 9 509 1.1× 123 0.5× 129 0.8× 40 0.5× 70 0.9× 12 740
William S. Einhorn United States 5 912 2.0× 548 2.1× 67 0.4× 38 0.4× 82 1.0× 6 1.3k
Ruopeng Feng United States 15 543 1.2× 97 0.4× 59 0.4× 45 0.5× 50 0.6× 33 738

Countries citing papers authored by David Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by David Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of David Lawrence. A scholar is included among the top collaborators of David Lawrence 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 David Lawrence. David Lawrence 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.
Lawrence, David, Deborah A. Kerr, Jane M. Fry, et al.. (2025). A policy perspective on household food security measures (extent, severity, and correlates): A population-based survey in Western Australia. Public Health. 247. 105895–105895.
2.
Homan, Claire C., Parvathy Venugopal, Peer Arts, et al.. (2021). GATA2 deficiency syndrome: A decade of discovery. Human Mutation. 42(11). 1399–1421. 29 indexed citations
3.
Pillman, Katherine A., John Toubia, David Lawrence, et al.. (2017). Naturally existing isoforms of miR-222 have distinct functions. Nucleic Acids Research. 45(19). 11371–11385. 54 indexed citations
4.
Buckberry, Sam, et al.. (2017). Transcriptome profiling reveals expression signatures of cranial neural crest cells arising from different axial levels. BMC Developmental Biology. 17(1). 5–5. 19 indexed citations
5.
Hewett, D., Kate Vandyke, David Lawrence, et al.. (2017). DNA Barcoding Reveals Habitual Clonal Dominance of Myeloma Plasma Cells in the Bone Marrow Microenvironment. Neoplasia. 19(12). 972–981. 16 indexed citations
6.
Kazenwadel, Jan, Kelly L. Betterman, Chan‐Eng Chong, et al.. (2015). GATA2 is required for lymphatic vessel valve development and maintenance. Journal of Clinical Investigation. 125(8). 2979–2994. 159 indexed citations
7.
Lim, Shu Ly, Zhipeng Qu, R. Daniel Kortschak, et al.. (2015). HENMT1 and piRNA Stability Are Required for Adult Male Germ Cell Transposon Repression and to Define the Spermatogenic Program in the Mouse. PLoS Genetics. 11(10). e1005620–e1005620. 99 indexed citations
8.
Bracken, Cameron P., Katherine A. Pillman, David Lawrence, et al.. (2015). p53 Represses the Oncogenic Sno-MiR-28 Derived from a SnoRNA. PLoS ONE. 10(6). e0129190–e0129190. 56 indexed citations
9.
Thomson, Daniel, Katherine A. Pillman, Matthew L. Anderson, et al.. (2014). Assessing the gene regulatory properties of Argonaute-bound small RNAs of diverse genomic origin. Nucleic Acids Research. 43(1). 470–481. 34 indexed citations
10.
Bracken, Cameron P., Josephine A. Wright, David Lawrence, et al.. (2014). Genome‐wide identification of miR‐200 targets reveals a regulatory network controlling cell invasion. The EMBO Journal. 33(18). 2040–2056. 115 indexed citations
11.
Pishas, Kathleen I., Susan J. Neuhaus, Mark Clayer, et al.. (2013). Nutlin-3a Efficacy in Sarcoma Predicted by Transcriptomic and Epigenetic Profiling. Cancer Research. 74(3). 921–931. 22 indexed citations
12.
Attema, Joanne L., Andrew G. Bert, Natasha Kolesnikoff, et al.. (2013). Identification of an Enhancer That Increases miR-200b~200a~429 Gene Expression in Breast Cancer Cells. PLoS ONE. 8(9). e75517–e75517. 22 indexed citations
13.
Lawrence, David, et al.. (2013). A logo for London : the London Transport bar and circle. 2 indexed citations
14.
Zubrick, Stephen R., Catherine Taylor, David Lawrence, et al.. (2009). Round Table : Lifecourse Epidemiology : The development of human capability across the lifecourse: Perspectives from childhood. eSpace (Curtin University). 16(3). 6–10. 2 indexed citations
15.
Lawrence, David. (2009). Gene studies shed light on rhinovirus diversity. The Lancet Infectious Diseases. 9(5). 278–278.
16.
Lawrence, David, Robert S. Singh, David P. Franklin, David J. Carey, & James R. Elmore. (2004). Rapamycin suppresses experimental aortic aneurysm growth. Journal of Vascular Surgery. 40(2). 334–338. 72 indexed citations
17.
Lawrence, David. (2002). Intranasal delivery could be used to administer drugs directly to the brain. The Lancet. 359(9318). 1674–1674. 21 indexed citations
18.
Lawrence, David. (2002). Mechanism of macular degeneration starts to appear. The Lancet. 360(9342). 1307–1307. 2 indexed citations
19.
Lawrence, David. (2002). Retrospective data strengthen Alzheimer's link with aspirin and NSAIDs. The Lancet. 360(9338). 1003–1003. 9 indexed citations
20.
Lawrence, David. (1983). Cutaneous Lesions in Hairy-Cell Leukemia. Archives of Dermatology. 119(4). 322–322. 17 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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