William Cantley

6.1k total citations · 1 hit paper
7 papers, 964 citations indexed

About

William Cantley is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, William Cantley has authored 7 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in William Cantley's work include Dermatological and Skeletal Disorders (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and RNA Interference and Gene Delivery (2 papers). William Cantley is often cited by papers focused on Dermatological and Skeletal Disorders (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and RNA Interference and Gene Delivery (2 papers). William Cantley collaborates with scholars based in United States, United Kingdom and Canada. William Cantley's co-authors include Kevin Fitzgerald, Akin Akinc, Christopher G. Levins, Kerry P. Mahon, Kathryn A. Whitehead, Antonin de Fougerolles, Dinah W.Y. Sah, Liu Liang Qin, Kevin T. Love and Maria Frank-Kamenetsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Neurology.

In The Last Decade

William Cantley

7 papers receiving 950 citations

Hit Papers

Lipid-like materials for low-dose, in vivo gene silencing 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Cantley United States 5 830 165 135 112 97 7 964
Amer F. Saleh United Kingdom 18 1.4k 1.7× 196 1.2× 187 1.4× 88 0.8× 59 0.6× 30 1.5k
Ryan L. Setten United States 8 1.1k 1.3× 284 1.7× 105 0.8× 68 0.6× 106 1.1× 10 1.3k
Katrin Tiemann United States 11 702 0.8× 183 1.1× 108 0.8× 52 0.5× 79 0.8× 15 845
Liu Liang Qin China 5 772 0.9× 154 0.9× 111 0.8× 106 0.9× 102 1.1× 6 893
Kristi D. Viles United States 8 970 1.2× 168 1.0× 101 0.7× 61 0.5× 72 0.7× 12 1.1k
Jason G. Fewell United States 18 704 0.8× 94 0.6× 200 1.5× 56 0.5× 178 1.8× 30 1.1k
Weidan Peng United States 15 625 0.8× 92 0.6× 229 1.7× 127 1.1× 169 1.7× 28 938
Min‐Yuan Chou Taiwan 14 878 1.1× 97 0.6× 58 0.4× 63 0.6× 54 0.6× 20 1.0k
Louis J. Born United States 10 463 0.6× 162 1.0× 65 0.5× 56 0.5× 53 0.5× 24 642
Timothy Racie United States 3 844 1.0× 164 1.0× 123 0.9× 110 1.0× 105 1.1× 5 987

Countries citing papers authored by William Cantley

Since Specialization
Citations

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

Fields of papers citing papers by William Cantley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Cantley

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

All Works

7 of 7 papers shown
1.
Lomoio, Selene, Ravi S. Pandey, Nicolas Rouleau, et al.. (2023). 3D bioengineered neural tissue generated from patient-derived iPSCs mimics time-dependent phenotypes and transcriptional features of Alzheimer’s disease. Molecular Psychiatry. 28(12). 5390–5401. 7 indexed citations
2.
Ticau, Simina, Gautham Sridharan, William Cantley, et al.. (2020). Neurofilament Light Chain as a Biomarker of Hereditary Transthyretin-Mediated Amyloidosis. Neurology. 96(3). e412–e422. 72 indexed citations
3.
Ticau, Simina, Gautham Sridharan, William Cantley, et al.. (2020). Neurofilament Light Chain may Serve As a Biomarker of Neuropathy in Hattr Amyloidosis with Cardiomyopathy. Journal of Cardiac Failure. 26(10). S96–S96. 2 indexed citations
4.
Nioi, Paul, Simina Ticau, Gautham Sridharan, et al.. (2020). Neurofilament Light Chain (NfL) as a Potential Biomarker in Hereditary Transthyretin-Mediated (hATTR) Amyloidosis (771). Neurology. 94(15_supplement). 1 indexed citations
5.
Foster, Donald J., Scott Barros, Sarfraz Shaikh, et al.. (2012). Comprehensive evaluation of canonical versus Dicer-substrate siRNA in vitro and in vivo. RNA. 18(3). 557–568. 38 indexed citations
6.
Love, Kevin T., Kerry P. Mahon, Christopher G. Levins, et al.. (2010). Lipid-like materials for low-dose, in vivo gene silencing. Proceedings of the National Academy of Sciences. 107(5). 1864–1869. 792 indexed citations breakdown →
7.
Karihaloo, Anil, S. Ananth Karumanchi, William Cantley, et al.. (2005). Vascular Endothelial Growth Factor Induces Branching Morphogenesis/Tubulogenesis in Renal Epithelial Cells in a Neuropilin-Dependent Fashion. Molecular and Cellular Biology. 25(17). 7441–7448. 52 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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