Margaret Flowers

1.3k citations
9 papers · 216 indexed · h-index 7
Topics
Sphingolipid Metabolism and Signaling (3 papers)Fatty Acid Research and Health (2 papers)Cholesterol and Lipid Metabolism (1 paper)
Partner nations
United StatesSpainCanada

In The Last Decade

Margaret Flowers

9 papers receiving 214 citations

Peers

Margaret Flowers
Comparison fields: 5 of 58
  • Molecular Biology 171
  • Oncology 39
  • Cell Biology 39
  • Epidemiology 25
  • Cancer Research 24
Replace Benjamin Newcomb with:
Benjamin Newcomb United States
Anna‐Lena Scherr Germany
Miranda Machacek United States
Sunmi Lee South Korea
María Teresa Borrello United Kingdom
Debra G. Goodwin United States
Nathaniel W. Oswald United States
Tatsuya Yano Japan
Lola Martínez Spain
Wenke Jin China
Margaret Flowers relative to Benjamin Newcomb United States Benjamin Newcomb's profile →
Citations per field
00.5×1.5×1.8×
Benjamin Newcomb · 1×
Citations per year

Countries citing papers authored by Margaret Flowers

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Flowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Flowers

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 5
2 7
3 1
4 67
5 41
6 12
7 45
8 29
9
ras transformation of simian virus 40-immortalized rat hepatocytes: an in vitro model of hepatocarcinogenesis.
9

About Margaret Flowers

Margaret Flowers is a scholar working on Biochemistry, Nutrition and Dietetics and Hepatology, having authored 9 papers that have together received 216 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (3 papers), Fatty Acid Research and Health (2 papers) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Molecular Biology (171 citations), Cell Biology (39 citations) and Physiology (9 citations). Margaret Flowers has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Myles C. Cabot, Gemma Fabriàs, Josefina Casas, Antonio Delgado, Patricia A. Thompson, José Luı́s Abad, Valérie Gouazé‐Andersson, Maria C. Messner, Armando E. Giuliano and Mark Kester. Their work appears in journals such as PLoS ONE, Cancer Research and Frontiers in Immunology.

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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