Andrew Leask

18.2k citations
231 papers · 14.9k · 3 hit papers · h-index 63

Impact in

Papers in

Andrew Leask

227 papers receiving 14.7k citations

Andrew Leask's Hit Papers

Potential Therapeutic Targets for Cardiac Fibrosis 2010 · 574 citations
5740+7+14Years since publication50010001.5k

Peers

Andrew Leask
Comparison fields: 5 of 139
  • Pathology and Forensic Medicine 2.6k
  • Dermatology 1.2k
  • Urology 794
  • Rehabilitation 802
  • Molecular Biology 8.0k
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Citations per field
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Citations per year

Countries citing papers authored by Andrew Leask

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Leask

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrew Leask, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Leask Line = papers co-authored together Andrew Leask links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 231 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TGF‐β signaling and the fibrotic response
Hit paper breakdown →
20041950
2
Potential Therapeutic Targets for Cardiac Fibrosis
Hit paper breakdown →
2010574
3
All in the CCN family: essential matricellular signaling modulators emerge from the bunker
Hit paper breakdown →
2006563
4 2001368
5 2008312
6 2002298
7 2004288
8 1998287
9 2015284
10 2003268
11 2011257
12 2003222
13 2006222
14 2000218
15 1991213
16 2009197
17 2002188
18 2002172
19 2001169
20 2010159

About Andrew Leask

Andrew Leask is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Dermatology, Genetics and Immunology, having authored 231 papers that have together received 14.9k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (149 papers), Systemic Sclerosis and Related Diseases (64 papers), Dermatologic Treatments and Research (29 papers), Connective tissue disorders research (18 papers), TGF-β signaling in diseases (17 papers), Wound Healing and Treatments (13 papers), Cell Adhesion Molecules Research (13 papers) and Wnt/β-catenin signaling in development and cancer (10 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.6k citations), Dermatology (1.2k citations), Urology (794 citations), Rehabilitation (802 citations) and Molecular Biology (8.0k citations). Andrew Leask has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include David Abraham, Shiwen Xu, Carol M. Black, Alan Holmes, Christopher P. Denton, Shangxi Liu, Roel Goldschmeding, Ingrid E. Blom, Susan Sa and Mark Eastwood. Their work appears in journals such as Journal of Cell Communication and Signaling, Matrix Biology, Journal of Biological Chemistry, PLoS ONE and Arthritis Research & Therapy.

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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