Elizabeth Matthew

42 total papers · 894 total citations
29 papers, 676 citations indexed

About

Elizabeth Matthew is a scholar working on Oncology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Elizabeth Matthew has authored 29 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Elizabeth Matthew's work include Cancer Diagnosis and Treatment (4 papers), Cancer-related Molecular Pathways (4 papers) and Cancer Genomics and Diagnostics (4 papers). Elizabeth Matthew is often cited by papers focused on Cancer Diagnosis and Treatment (4 papers), Cancer-related Molecular Pathways (4 papers) and Cancer Genomics and Diagnostics (4 papers). Elizabeth Matthew collaborates with scholars based in United States, Canada and France. Elizabeth Matthew's co-authors include Wafik S. El‐Deiry, David T. Dicker, Arunasalam Navaraj, E. A. Zimmerman, Allan L. Sherwin, Dean Engelhardt, Wensheng Yang, Robert M. Cohen, Jeffrey D. Laskin and I B Weinstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Elizabeth Matthew

28 papers receiving 638 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Elizabeth Matthew 260 182 157 82 81 29 676
R.H. Perry 187 0.7× 117 0.6× 120 0.8× 222 2.7× 38 0.5× 23 740
Horst P. Schmitt 209 0.8× 57 0.3× 96 0.6× 147 1.8× 95 1.2× 37 708
Keqing Zhu 221 0.8× 50 0.3× 110 0.7× 53 0.6× 55 0.7× 33 640
Ailsa L. McGregor 312 1.2× 69 0.4× 197 1.3× 64 0.8× 57 0.7× 34 794
Yaroslav Teper 345 1.3× 205 1.1× 123 0.8× 41 0.5× 71 0.9× 16 758
Lydia Tam 184 0.7× 74 0.4× 130 0.8× 77 0.9× 28 0.3× 18 771
Éva Gömöri 215 0.8× 71 0.4× 94 0.6× 45 0.5× 47 0.6× 33 658
Benjamin J. Harrison 343 1.3× 69 0.4× 93 0.6× 46 0.6× 116 1.4× 27 724
Dimitrios Kanakis 228 0.9× 112 0.6× 93 0.6× 35 0.4× 39 0.5× 28 579
Lars Forsberg 195 0.8× 143 0.8× 35 0.2× 91 1.1× 148 1.8× 29 773

Countries citing papers authored by Elizabeth Matthew

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Matthew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Matthew

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

All Works

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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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