Mona E. Fewster

20 papers receiving 792 citations

Mona E. Fewster's Hit Papers

Quantitative densitometric thin-layer chromatography of lipids using copper acetate reagent 1969 · 376 citations
3760+19+38Years since publication100200300

Peers

Mona E. Fewster
Comparison fields: 5 of 100
  • Aquatic Science 100
  • Biochemistry 92
  • Developmental Neuroscience 47
  • Clinical Biochemistry 66
  • Nutrition and Dietetics 130
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F.N. LeBaron United States
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Citations per year

Countries citing papers authored by Mona E. Fewster

Since Specialization
Citations

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

Fields of papers citing papers by Mona E. Fewster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona E. Fewster. 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 Mona E. Fewster. The network helps show where Mona E. Fewster may publish in the future.

Co-authors

The 21 scholars most cited alongside Mona E. Fewster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mona E. Fewster Line = papers co-authored together Mona E. Fewster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantitative densitometric thin-layer chromatography of lipids using copper acetate reagent
Hit paper breakdown →
1969376
2 195364
3 195159
4 196751
5 195249
6 196845
7 196732
8 196828
9 197327
10 197623
11 197622
12 197521
13 197714
14 196712
15 197011
16 197511
17 197910
18 19669
19 19725
20 19844

About Mona E. Fewster

Mona E. Fewster is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Clinical Biochemistry, Cellular and Molecular Neuroscience and Epidemiology, having authored 21 papers that have together received 873 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Systemic Sclerosis and Related Diseases (3 papers), Virology and Viral Diseases (3 papers), Multiple Sclerosis Research Studies (3 papers), Analytical Chemistry and Chromatography (2 papers), S100 Proteins and Annexins (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Aquatic Science (100 citations), Biochemistry (92 citations), Developmental Neuroscience (47 citations), Clinical Biochemistry (66 citations) and Nutrition and Dietetics (130 citations). Mona E. Fewster has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include James F. Mead, S. Dagley, F. C. Happold, David Hall, David A. Turner, George W. Ellison, Lawrence W. Myers, Arnold B. Scheibel, Michael O. Hall and Roy L. Walford. Their work appears in journals such as Journal of Neurochemistry, Journal of the Neurological Sciences, Brain Research, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

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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