Laura Harrington

2.4k total citations · 1 hit paper
17 papers, 1.9k citations indexed

About

Laura Harrington is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Laura Harrington has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 6 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in Laura Harrington's work include Botulinum Toxin and Related Neurological Disorders (8 papers), Pain Mechanisms and Treatments (4 papers) and Facial Rejuvenation and Surgery Techniques (4 papers). Laura Harrington is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (8 papers), Pain Mechanisms and Treatments (4 papers) and Facial Rejuvenation and Surgery Techniques (4 papers). Laura Harrington collaborates with scholars based in United Kingdom, Germany and United States. Laura Harrington's co-authors include Greg M. Findlay, Richard F. Lamb, Ivan Gout, Peter R. Shepherd, C. Peter Downes, Alexander Gray, Т. А. Толкачева, Heike Rebholz, Simon Wigfield and Nicholas R. Leslie and has published in prestigious journals such as The Journal of Cell Biology, Cancer Research and Trends in Biochemical Sciences.

In The Last Decade

Laura Harrington

16 papers receiving 1.9k citations

Hit Papers

The TSC1-2 tumor suppressor controls insulin–PI3K signali... 2004 2026 2011 2018 2004 250 500 750
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.

  1. The TSC1-2 tumor suppressor controls insulin–PI3K signaling via regulation of IRS proteins
    2004 916 citations Laura Harrington, Greg M. Findlay et al. The Journal of Cell Biology profile →

Peers

Laura Harrington
Bendi Gong United States
Cheng‐Han Lee Canada
Yuh‐Jin Liang Taiwan
Hiroki Sawa Japan
Irina Mikolaenko United States
Rachel M. Squillace United States
Gabriela D’Amico United Kingdom
Polina Iakova United States
David M. Flavell United Kingdom
Daniel Tondera United States
Bendi Gong United States
Laura Harrington
Citations per year, relative to Laura Harrington Laura Harrington (= 1×) peers Bendi Gong

Countries citing papers authored by Laura Harrington

Since Specialization
Citations

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

Fields of papers citing papers by Laura Harrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Harrington

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

All Works

17 of 17 papers shown
1.
Bemt, Bart J. F. van den, Ennio Lubrano, Inderjit Singh, et al.. (2024). Elevating the Standard of Care for Patients with Axial Spondyloarthritis: ‘Calls to Action’ from Rheumacensus, a Multistakeholder Pan-European Initiative. Rheumatology and Therapy. 11(3). 773–794.
2.
Harrington, Laura, Caroline Ovadia, Michael A. Heneghan, & Catherine Williamson. (2024). A new diagnosis of primary biliary cholangitis in pregnancy treated with a combination of ursodeoxycholic acid and bezafibrate. Obstetric Medicine. 18(4). 276–280. 3 indexed citations
3.
Trévidic, Patrick, Barbara Ellers‐Lenz, Laura Harrington, et al.. (2017). IncobotulinumtoxinA Is an Effective and Well-Tolerated Treatment for Upper Facial Lines: Results From an Open-Label Extension Period of a Phase III Study. Dermatologic Surgery. 43(3). S285–S292. 6 indexed citations
4.
Luebberding, Stefanie, et al.. (2014). Patient-Reported Outcomes After IncobotulinumtoxinA Treatment for Upper Facial Wrinkles. Dermatologic Surgery. 41(Supplement 1). S29–S38. 13 indexed citations
5.
Harrington, Laura, et al.. (2014). A Prospective Rater- and Subject-Blinded Study Comparing the Efficacy of IncobotulinumtoxinA and OnabotulinumtoxinA to Treat Crow's Feet. Dermatologic Surgery. 41(Supplement 1). S39–S46. 12 indexed citations
6.
7.
Carruthers, Alastair, Jean Carruthers, William P. Coleman, et al.. (2013). Multicenter, Randomized, Phase III Study of a Single Dose of IncobotulinumtoxinA, Free from Complexing Proteins, in the Treatment of Glabellar Frown Lines. Dermatologic Surgery. 39(4). 551–558. 52 indexed citations
8.
9.
Geister, Thorin L., et al.. (2013). Validated Assessment Scale for Platysmal Bands. Dermatologic Surgery. 39(8). 1217–1225. 26 indexed citations
10.
Rzany, Berthold, et al.. (2012). Long-Term Results for IncobotulinumtoxinA in the Treatment of Glabellar Frown Lines. Dermatologic Surgery. 39(1). 95–103. 23 indexed citations
11.
Li, Jiliang, Richard C.A. Sainson, Wen Shi, et al.. (2007). Delta-like 4 Notch Ligand Regulates Tumor Angiogenesis, Improves Tumor Vascular Function, and Promotes Tumor Growth In vivo. Cancer Research. 67(23). 11244–11253. 242 indexed citations
12.
Harrington, Laura, Richard C.A. Sainson, Cassin Kimmel Williams, et al.. (2007). Regulation of multiple angiogenic pathways by Dll4 and Notch in human umbilical vein endothelial cells. Microvascular Research. 75(2). 144–154. 172 indexed citations
13.
Findlay, Greg M., Laura Harrington, & Richard F. Lamb. (2004). TSC1-2 tumour suppressor and regulation of mTOR signalling: linking cell growth and proliferation?. Current Opinion in Genetics & Development. 15(1). 69–76. 35 indexed citations
14.
Harrington, Laura, Greg M. Findlay, & Richard F. Lamb. (2004). Restraining PI3K: mTOR signalling goes back to the membrane. Trends in Biochemical Sciences. 30(1). 35–42. 313 indexed citations
15.
Harrington, Laura, Greg M. Findlay, Alexander Gray, et al.. (2004). The TSC1-2 tumor suppressor controls insulin–PI3K signaling via regulation of IRS proteins. The Journal of Cell Biology. 166(2). 213–223. 916 indexed citations breakdown →
16.
Yanovski, Jack A., Susan Z. Yanovski, Laura Harrington, Philip W. Gold, & George P. Chrousos. (1995). Differences in the Hypothalamic-Pituitary-Adrenal Axis of Black and White Men. Hormone Research. 44(5). 208–212. 17 indexed citations
17.
Harrington, Laura, et al.. (1993). Temporal covariation of soluble interleukin‐2 receptor levels, daily stress, and disease activity in rheumatoid arthritis. Arthritis & Rheumatism. 36(2). 199–203. 50 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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