Elizabeth A. Coker

1.6k total citations
13 papers, 385 citations indexed

About

Elizabeth A. Coker is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Elizabeth A. Coker has authored 13 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Oncology. Recurrent topics in Elizabeth A. Coker's work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Natural Products and Biosynthesis (2 papers). Elizabeth A. Coker is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Natural Products and Biosynthesis (2 papers). Elizabeth A. Coker collaborates with scholars based in United Kingdom, Singapore and United States. Elizabeth A. Coker's co-authors include Bissan Al‐Lazikani, Joseph E Tym, Costas Mitsopoulos, Albert A. Antolín, Amanda C. Schierz, Paul Workman, Patrizio Di Micco, Buğra Özer, Christos Kannas and Krishna C. Bulusu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and British Journal of Cancer.

In The Last Decade

Elizabeth A. Coker

13 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth A. Coker United Kingdom 7 286 108 101 76 38 13 385
Joseph E Tym United Kingdom 6 293 1.0× 141 1.3× 58 0.6× 70 0.9× 25 0.7× 8 379
Ann Palladino United States 4 352 1.2× 75 0.7× 109 1.1× 55 0.7× 46 1.2× 5 524
Luwei Liu United States 5 312 1.1× 71 0.7× 114 1.1× 42 0.6× 43 1.1× 11 509
Toufike Kanouni United States 11 406 1.4× 44 0.4× 82 0.8× 52 0.7× 31 0.8× 17 618
Serene Josiah United States 13 340 1.2× 74 0.7× 80 0.8× 44 0.6× 25 0.7× 25 485
Akito Nakamura Japan 8 326 1.1× 60 0.6× 119 1.2× 56 0.7× 31 0.8× 13 424
Jocelyn Chan United States 8 455 1.6× 98 0.9× 212 2.1× 47 0.6× 55 1.4× 11 555
Sebastian Halbach Germany 12 360 1.3× 44 0.4× 140 1.4× 63 0.8× 17 0.4× 16 453
Henrik Moebitz Switzerland 5 325 1.1× 58 0.5× 119 1.2× 28 0.4× 30 0.8× 8 441
Attilla Ting United Kingdom 13 267 0.9× 58 0.5× 164 1.6× 92 1.2× 19 0.5× 17 467

Countries citing papers authored by Elizabeth A. Coker

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth A. Coker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth A. Coker. 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 Elizabeth A. Coker. The network helps show where Elizabeth A. Coker may publish in the future.

Co-authorship network of co-authors of Elizabeth A. Coker

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

All Works

13 of 13 papers shown
1.
Vis, Daniël J., Patricia Jaaks, Nanne Aben, et al.. (2024). A pan-cancer screen identifies drug combination benefit in cancer cell lines at the individual and population level. Cell Reports Medicine. 5(8). 101687–101687. 4 indexed citations
2.
Coker, Elizabeth A., Adam Stewart, Buğra Özer, et al.. (2022). Individualized Prediction of Drug Response and Rational Combination Therapy in NSCLC Using Artificial Intelligence–Enabled Studies of Acute Phosphoproteomic Changes. Molecular Cancer Therapeutics. 21(6). 1020–1029. 8 indexed citations
3.
Mitsopoulos, Costas, Patrizio Di Micco, Daniela Dolciami, et al.. (2020). canSAR: update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Research. 49(D1). D1074–D1082. 64 indexed citations
4.
Winkler, C, Joshua Armenia, Gemma N. Jones, et al.. (2020). SLFN11 informs on standard of care and novel treatments in a wide range of cancer models. British Journal of Cancer. 124(5). 951–962. 51 indexed citations
5.
Stewart, Adam, Elizabeth A. Coker, Sebastian Pölsterl, et al.. (2019). Differences in Signaling Patterns on PI3K Inhibition Reveal Context Specificity in KRAS -Mutant Cancers. Molecular Cancer Therapeutics. 18(8). 1396–1404. 14 indexed citations
6.
Kinnersley, Ben, Amit Sud, Elizabeth A. Coker, et al.. (2018). Leveraging Human Genetics to Guide Cancer Drug Development. JCO Clinical Cancer Informatics. 2(2). 1–11. 4 indexed citations
7.
Taylor‐King, Jake P., Andrew Dhawan, Elizabeth A. Coker, et al.. (2018). Simulated ablation for detection of cells impacting paracrine signalling in histology analysis. Mathematical Medicine and Biology A Journal of the IMA. 36(1). 93–112. 2 indexed citations
8.
Stewart, Andrew N., P. Thavasu, Elizabeth A. Coker, et al.. (2018). KRAS mutant and RAS/BRAF wild type colorectal cancer cells exhibit differences in the rewiring of signal transduction that can impact on future therapeutic strategies. Annals of Oncology. 29. viii1–viii1. 1 indexed citations
9.
Coker, Elizabeth A., et al.. (2018). Abstract B096: canSAR, a cancer research and drug discovery knowledgebase. Molecular Cancer Therapeutics. 17(1_Supplement). B096–B096. 1 indexed citations
10.
Coker, Elizabeth A., Costas Mitsopoulos, Christos Kannas, et al.. (2018). canSAR: update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Research. 47(D1). D917–D922. 82 indexed citations
11.
Coker, Elizabeth A., Costas Mitsopoulos, Paul Workman, & Bissan Al‐Lazikani. (2017). SiGNet: A signaling network data simulator to enable signaling network inference. PLoS ONE. 12(5). e0177701–e0177701. 5 indexed citations
12.
Tym, Joseph E, Costas Mitsopoulos, Elizabeth A. Coker, et al.. (2015). canSAR: an updated cancer research and drug discovery knowledgebase. Nucleic Acids Research. 44(D1). D938–D943. 98 indexed citations
13.
Bulusu, Krishna C., Joseph E Tym, Elizabeth A. Coker, Amanda C. Schierz, & Bissan Al‐Lazikani. (2013). canSAR: updated cancer research and drug discovery knowledgebase. Nucleic Acids Research. 42(D1). D1040–D1047. 51 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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