Elizabeth A. Smethurst

1.3k citations
5 papers · 152 indexed · h-index 5
Topics
Cancer, Hypoxia, and Metabolism (2 papers)Cancer, Lipids, and Metabolism (1 paper)Receptor Mechanisms and Signaling (1 paper)

In The Last Decade

Elizabeth A. Smethurst

5 papers receiving 152 citations

Peers

Elizabeth A. Smethurst
Comparison fields: 5 of 40
  • Molecular Biology 90
  • Cell Biology 67
  • Biomedical Engineering 42
  • Oncology 36
  • Cancer Research 22
Replace Donna J. Page with:
Donna J. Page United Kingdom
Ana Krotenberg García Netherlands
Stefano Marchesi Italy
Maalavika Pillai India
Martin E. Baumdick Germany
Jiazheng Ji United States
Theresa Simon-Vermot United States
Anushya Hariharan Singapore
Samantha M. Hill United States
Patricia A. Clow United States
Elizabeth A. Smethurst relative to Donna J. Page United Kingdom Donna J. Page's profile →
Citations per field
00.5×10×15×18×
Donna J. Page · 1×
Citations per year

Countries citing papers authored by Elizabeth A. Smethurst

Since Specialization
Citations

This map shows the geographic impact of Elizabeth A. Smethurst'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. Smethurst 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. Smethurst more than expected).

Fields of papers citing papers by Elizabeth A. Smethurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 22
2 20
3 5
4 97
5 8

About Elizabeth A. Smethurst

Elizabeth A. Smethurst is a scholar working on Developmental Neuroscience, Cancer Research and Cell Biology, having authored 5 papers that have together received 152 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (2 papers), Cancer, Lipids, and Metabolism (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Cell Biology (67 citations), Modeling and Simulation (13 citations) and Cancer Research (22 citations). Elizabeth A. Smethurst has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Michael J.O. Wakelam, Zuo‐Feng Zhang, Colin R. Lindsay, Robert H. Insall, David A. Knecht, R. M. Herd, Olivia Susanto, Douwe M. Veltman, Owen J. Sansom and Andrew Muinonen‐Martin. Their work appears in journals such as Molecular Cell, PLoS ONE and PLoS Biology.

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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