Lee‐Anne Stanton

827 citations
15 papers · 705 · h-index 12

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 2
    • Metabolism, Diabetes, and Cancer 1
    • NF-κB Signaling Pathways 4
    • Cancer, Lipids, and Metabolism 2

Lee‐Anne Stanton

15 papers receiving 690 citations

Peers

Lee‐Anne Stanton
Comparison fields: 5 of 75
  • Rheumatology 283
  • Immunology and Allergy 73
  • Cancer Research 115
  • Urology 28
  • Molecular Biology 307
Replace Mariella F. Carlevaro with:
Mariella F. Carlevaro Italy
H.-J. Im United States
Masanao Tsuda United States
Darren A. Plumb United States
Lujian Tan United States
Teresa I. Morales United States
Claudine G. James Canada
Hermina Tulli United States
Andrew C. Bakker Netherlands
Harumi Kawaki Japan
Lee‐Anne Stanton relative to Mariella F. Carlevaro Italy Mariella F. Carlevaro's profile →
Citations per field
00.5×1.5×
Mariella F. Carlevaro · 1×
Citations per year

Countries citing papers authored by Lee‐Anne Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Anne Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee‐Anne Stanton. 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 Lee‐Anne Stanton. The network helps show where Lee‐Anne Stanton may publish in the future.

Co-authors

The 25 scholars most cited alongside Lee‐Anne Stanton, 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 Lee‐Anne Stanton Line = papers co-authored together Lee‐Anne Stanton links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2003143
2 2004135
3 2004116
4 200776
5 200442
6 201041
7 200339
8 201035
9 200630
10 200114
11 199713
12 200811
13 19985
14 19993
15 19942

About Lee‐Anne Stanton

Lee‐Anne Stanton is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Rheumatology, having authored 15 papers that have together received 705 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Fatty Acid Research and Health (2 papers), Cancer, Lipids, and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Metabolism, Diabetes, and Cancer (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Rheumatology (283 citations), Immunology and Allergy (73 citations), Cancer Research (115 citations), Urology (28 citations) and Molecular Biology (307 citations). Lee‐Anne Stanton has collaborated with scholars based in Canada, South Africa and United States. Frequent co-authors include Frank Beier, T. Michael Underhill, Arthur V. Sampaio, Guoyan Wang, Anita Woods, Claudine G. James, Dalia Halawani, J. R. Gillespie, Rosa Serra and Sameena Khan. Their work appears in journals such as Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, PLoS ONE, Developmental Biology, Journal of Cellular Biochemistry and Oncogene.

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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