Gillian Moore

622 citations
16 papers · 414 indexed · h-index 9

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Cancer Cells and Metastasis
    • Peptidase Inhibition and Analysis

Papers in

Gillian Moore

16 papers receiving 410 citations

Peers

Gillian Moore
Comparison fields: 5 of 77
  • Cancer Research 90
  • Oncology 130
  • Immunology 68
  • Pathology and Forensic Medicine 56
  • Biochemistry 22
Replace Dianren Xia with:
Dianren Xia United States
Bushra Rahman United States
Ioannis Varakis Greece
Inês Cebola United Kingdom
Bryan M. Gillard United States
T Ishikawa Japan
Xuexian Yan Singapore
Lin‐wen Wu China
Twishi Gulati Australia
Sei‐ichiro Jimi Japan
Gillian Moore relative to Dianren Xia United States Dianren Xia's profile →
Citations per field
00.5×5.8×
Dianren Xia · 1×
Citations per year

Countries citing papers authored by Gillian Moore

Since Specialization
Citations

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

Fields of papers citing papers by Gillian Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20218
2 20211
3 202123
4 202066
5 202094
6 202061
7 201928
8 20191
9 201812
10 20181
11 201810
12 20181
13 20171
14 201788
15 201618
16 19731

About Gillian Moore

Gillian Moore is a scholar working on Pathology and Forensic Medicine, Immunology, Oncology, Organic Chemistry and Small Animals, having authored 16 papers that have together received 414 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (6 papers), Quinazolinone synthesis and applications (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Signaling Pathways in Disease (2 papers), Peptidase Inhibition and Analysis (2 papers), Synthesis and biological activity (1 paper), Cardiovascular Disease and Adiposity (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Cancer Research (90 citations), Oncology (130 citations), Immunology (68 citations), Pathology and Forensic Medicine (56 citations) and Biochemistry (22 citations). Gillian Moore has collaborated with scholars based in Ireland, Australia and United Kingdom. Frequent co-authors include Tracy Robson, Stephanie Annett, Graham P. Pidgeon, Lana McClements, Sinéad Cuffe, Susan Heavey, Stephen P. Finn, Kathy Gately, Frank Moriarty and Nathalie Simon. Their work appears in journals such as Cancers, Journal of Thoracic Oncology, International Journal of Molecular Sciences, Pharmacology & Therapeutics and Scientific Reports.

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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