Anne Cheasty

414 total citations
8 papers, 131 citations indexed

About

Anne Cheasty is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Anne Cheasty has authored 8 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Anne Cheasty's work include Sphingolipid Metabolism and Signaling (3 papers), Multiple Myeloma Research and Treatments (2 papers) and Microtubule and mitosis dynamics (2 papers). Anne Cheasty is often cited by papers focused on Sphingolipid Metabolism and Signaling (3 papers), Multiple Myeloma Research and Treatments (2 papers) and Microtubule and mitosis dynamics (2 papers). Anne Cheasty collaborates with scholars based in United Kingdom, United States and Italy. Anne Cheasty's co-authors include Catherine Rogers, Elliott D. Bayle, P. Savitsky, Stefan Knapp, Susanne Müller, C. Tallant, Oleg Fedorov, Paul V. Fish, David Andrews and Paul E. Brennan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Journal of Hepatology.

In The Last Decade

Anne Cheasty

8 papers receiving 129 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Cheasty United Kingdom 6 86 27 25 21 16 8 131
Marc N. Offman United Kingdom 7 190 2.2× 19 0.7× 24 1.0× 11 0.5× 27 1.7× 8 298
Sara N. Journey United States 5 95 1.1× 23 0.9× 24 1.0× 4 0.2× 27 1.7× 5 147
Nichole O’Connell United States 7 179 2.1× 16 0.6× 29 1.2× 4 0.2× 23 1.4× 11 219
Natalie H. Theodoulou United Kingdom 6 132 1.5× 45 1.7× 30 1.2× 69 3.3× 4 0.3× 7 178
Huarui Cui United States 7 183 2.1× 35 1.3× 36 1.4× 107 5.1× 4 0.3× 10 250
Anup Aggarwal United States 6 130 1.5× 23 0.9× 28 1.1× 16 0.8× 8 0.5× 9 160
Chia-Chi Flora Huang United States 7 103 1.2× 12 0.4× 22 0.9× 9 0.4× 20 1.3× 9 174
Almut Brand Germany 3 182 2.1× 13 0.5× 39 1.6× 6 0.3× 6 0.4× 4 243
Christoph Grohmann Australia 5 248 2.9× 15 0.6× 27 1.1× 6 0.3× 2 0.1× 6 278

Countries citing papers authored by Anne Cheasty

Since Specialization
Citations

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

Fields of papers citing papers by Anne Cheasty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Cheasty

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

All Works

8 of 8 papers shown
1.
Peyruchaud, Olivier, Pritom Shah, Anne Cheasty, et al.. (2023). Characterization and translational development of IOA-289, a novel autotaxin inhibitor for the treatment of solid tumors. Immuno-Oncology Technology. 18. 100384–100384. 16 indexed citations
2.
Bennett, C. Richard, Jennifer L. Baker, Ewan R. Clark, et al.. (2022). Establishing the selective phospholipid membrane coordination, permeation and lysis properties for a series of ‘druggable’ supramolecular self-associating antimicrobial amphiphiles. Chemical Science. 13(33). 9761–9773. 13 indexed citations
3.
Milleri, Stefano, Marion M. Deken, Alan Carruthers, et al.. (2021). 131P Translating a novel autotaxin inhibitor from preclinical proof of concept in pancreatic cancer to a biomarker response in human subjects. Annals of Oncology. 32. S1434–S1434. 1 indexed citations
4.
Matas-Rico, Elisa, Alan Carruthers, Anne Cheasty, et al.. (2021). 922 A novel autotaxin inhibitor, IOA-289, modulates tumor, immune and stromal cell function and has monotherapy activity in fibrotic cancer models. SHILAP Revista de lepidopterología. A967–A967. 2 indexed citations
5.
Bayle, Elliott D., C. Tallant, Oleg Fedorov, et al.. (2017). Design of a Chemical Probe for the Bromodomain and Plant Homeodomain Finger-Containing (BRPF) Family of Proteins. Journal of Medicinal Chemistry. 60(16). 6998–7011. 28 indexed citations
6.
Bayle, Elliott D., Oleg Fedorov, C. Tallant, et al.. (2017). Design of a Biased Potent Small Molecule Inhibitor of the Bromodomain and PHD Finger-Containing (BRPF) Proteins Suitable for Cellular and in Vivo Studies. Journal of Medicinal Chemistry. 60(2). 668–680. 38 indexed citations
7.
Charles, Mark, Tennyson Ekwuru, Martin L. Stockley, et al.. (2015). Discovery, Development, and SAR of Aminothiazoles as LIMK Inhibitors with Cellular Anti-Invasive Properties. Journal of Medicinal Chemistry. 58(20). 8309–8313. 15 indexed citations
8.
Amphlett, Elizabeth M., Helen Bright, Leslie A. Chambers, et al.. (2007). [594] GSK625433; A NOVEL AND HIGHLY POTENT INHIBITOR OF THE HCV NS5B POLYMERASE. Journal of Hepatology. 46. S225–S225. 18 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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