Karen Murray

1.4k total citations
20 papers, 971 citations indexed

About

Karen Murray is a scholar working on Oncology, Molecular Biology and Geriatrics and Gerontology. According to data from OpenAlex, Karen Murray has authored 20 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Molecular Biology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Karen Murray's work include Cancer-related Molecular Pathways (6 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Click Chemistry and Applications (2 papers). Karen Murray is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Click Chemistry and Applications (2 papers). Karen Murray collaborates with scholars based in United Kingdom, United States and Czechia. Karen Murray's co-authors include Virginia Appleyard, Alastair M. Thompson, Julie A. Woods, David P. Lane, Nicholas J. Westwood, Sonia Laı́n, Oliver Staples, Lee D. Baker, Johanna Campbell and Maureen Higgins and has published in prestigious journals such as Cancer Cell, Cancer Research and Scientific Reports.

In The Last Decade

Karen Murray

20 papers receiving 951 citations

Peers

Karen Murray
Comparison fields: 5 of 90
  • Molecular Biology 427
  • Oncology 335
  • Geriatrics and Gerontology 230
  • Epidemiology 206
  • Cancer Research 115
Replace Virginia Appleyard with:
Virginia Appleyard United Kingdom
R. Löser Germany
Wuli Zhao China
Achilleas Mitrakas Greece
Mei Shan Ong Singapore
Allen W. Tsang United States
Jiayue Cui China
Mohamed Kodiha Canada
Zhi Jie Li Hong Kong
Chaohua Zhang China
Virginia Appleyard United Kingdom View profile →
Citations per field, relative to Karen Murray
Karen Murray · 1×
Citations per year, relative to Karen Murray
Karen Murray · 1×

Countries citing papers authored by Karen Murray

Since Specialization
Citations

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

Fields of papers citing papers by Karen Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Murray

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 15
3 5
4 20
5 29
6 4
7 73
8 89
9 17
10 25
11 19
12 12
13 43
14 419
15
Discovery, in vivo activity, and mechanism of action of a small-molecule p53 activator
3
16 70
17
Determination of the phospholipid and sphingolipid content in the feces of uninfected BALB/c mice and those infected with Echinostoma caproni by high performance silica gel thin layer chromatography with densitometry
5
18 11
19 104
20 7

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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