Andrew D. Cansfield

425 total citations
7 papers, 194 citations indexed

About

Andrew D. Cansfield is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Andrew D. Cansfield has authored 7 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Andrew D. Cansfield's work include Chronic Lymphocytic Leukemia Research (2 papers), Biochemical and Molecular Research (2 papers) and Cancer-related Molecular Pathways (2 papers). Andrew D. Cansfield is often cited by papers focused on Chronic Lymphocytic Leukemia Research (2 papers), Biochemical and Molecular Research (2 papers) and Cancer-related Molecular Pathways (2 papers). Andrew D. Cansfield collaborates with scholars based in United Kingdom, India and Croatia. Andrew D. Cansfield's co-authors include D.S. Williamson, Jonathan D. Moore, Christine M. Richardson, P. Dokurno, Martin J. Parratt, Rob Howes, James B. Murray, Geraint L. Francis, Alan Robertson and A.E. Surgenor and has published in prestigious journals such as Journal of Medicinal Chemistry, Cell Cycle and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Andrew D. Cansfield

7 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew D. Cansfield United Kingdom	6	88	88	46	24	23	7	194
Andrew P. Osnowski United Kingdom	4	121 1.4×	82 0.9×	59 1.3×	22 0.9×	12 0.5×	4	212
Ayah Abdeldayem Canada	1	105 1.2×	158 1.8×	52 1.1×	40 1.7×	19 0.8×	2	214
Leslie Leith United States	5	66 0.8×	70 0.8×	51 1.1×	12 0.5×	9 0.4×	8	168
Joy Drobnick United Kingdom	4	40 0.5×	122 1.4×	47 1.0×	15 0.6×	30 1.3×	4	176
Christopher M. Browne United States	7	78 0.9×	164 1.9×	54 1.2×	23 1.0×	10 0.4×	9	210
Brian G. Hartl New Zealand	6	115 1.3×	167 1.9×	58 1.3×	33 1.4×	30 1.3×	6	295
Janet D. Culshaw United Kingdom	4	171 1.9×	103 1.2×	64 1.4×	38 1.6×	8 0.3×	6	280
Alastair Donald United Kingdom	6	117 1.3×	202 2.3×	45 1.0×	35 1.5×	7 0.3×	8	274
David Koditek United States	7	96 1.1×	167 1.9×	29 0.6×	8 0.3×	59 2.6×	8	254
Aneesa M. Amar New Zealand	4	104 1.2×	116 1.3×	47 1.0×	20 0.8×	29 1.3×	4	230

Countries citing papers authored by Andrew D. Cansfield

Since Specialization

Citations

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

Fields of papers citing papers by Andrew D. Cansfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew D. Cansfield

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

All Works

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7 of 7 papers shown

Southall, Stacey M., Joydeep Banerjee, Jason Brown, et al.. (2022). Novel Macrocyclic Antagonists of the CGRP Receptor Part 2: Stereochemical Inversion Induces an Unprecedented Binding Mode. ACS Medicinal Chemistry Letters. 13(11). 1776–1782. 1 indexed citations

Ator, Mark A., Alastair Brown, Jason Brown, et al.. (2020). Structure-Based Drug Discovery of N -(( R )-3-(7-Methyl-1 H -indazol-5-yl)-1-oxo-1-((( S )-1-oxo-3-(piperidin-4-yl)-1-(4-(pyridin-4-yl)piperazin-1-yl)propan-2-yl)amino)propan-2-yl)-2′-oxo-1′,2′-dihydrospiro[piperidine-4,4′-pyrido[2,3- d ][1,3]oxazine]-1-carboxamide (HTL22562): A Calcitonin Gene-Related Peptide Receptor Antagonist for Acute Treatment of Migraine. Journal of Medicinal Chemistry. 63(14). 7906–7920. 13 indexed citations

Cansfield, Andrew D., T. Ladduwahetty, Katie Ellard, et al.. (2016). CZ415, a Highly Selective mTOR Inhibitor Showing in Vivo Efficacy in a Collagen Induced Arthritis Model. ACS Medicinal Chemistry Letters. 7(8). 768–773. 14 indexed citations

Bell, Kathryn M., Katie Ellard, Andrew D. Cansfield, et al.. (2012). SAR studies around a series of triazolopyridines as potent and selective PI3Kγ inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(16). 5257–5263. 35 indexed citations

Scrace, Simon, Jenifer Borgognoni, Lan-Zhen Wang, et al.. (2008). Transient treatment with CDK inhibitors eliminates proliferative potential even when their abilities to evoke apoptosis and DNA damage are blocked. Cell Cycle. 7(24). 3898–3907. 15 indexed citations

Richardson, Christine M., D.S. Williamson, Martin J. Parratt, et al.. (2005). Triazolo[1,5-a]pyrimidines as novel CDK2 inhibitors: Protein structure-guided design and SAR. Bioorganic & Medicinal Chemistry Letters. 16(5). 1353–1357. 56 indexed citations

Williamson, D.S., Martin J. Parratt, Justin Bower, et al.. (2005). Structure-guided design of pyrazolo[1,5-a]pyrimidines as inhibitors of human cyclin-dependent kinase 2. Bioorganic & Medicinal Chemistry Letters. 15(4). 863–867. 60 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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