Frances Moore
Impact in
-
- Metabolism, Diabetes, and Cancer
- Muscle Physiology and Disorders
- Protein Kinase Regulation and GTPase Signaling
- Peroxisome Proliferator-Activated Receptors
- Mitochondrial Function and Pathology
-
- Adipose Tissue and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Protein Kinase Regulation and GTPase Signaling 2
- Muscle Physiology and Disorders 2
- Genetics 4
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 3
- Mesenchymal stem cell research 1
- Co-authors
- D. Grahame Hardie (2 shared papers)John Weekes (1 shared paper)Carola U. Niesler (2 shared papers)Andrés López Bernal (4 shared papers)Kathryn H. Myburgh (1 shared paper)James Riordan (1 shared paper)Ben Loos (1 shared paper)Philip Cohen (1 shared paper)
- Journals
- Prostaglandins & Other Lipid Mediators (2 papers)European Journal of Biochemistry (2 papers)Biochemical Society Transactions (2 papers)Experimental Cell Research (1 paper)Biochemistry (1 paper)
- Partner nations
- United KingdomSouth AfricaUnited States
In The Last Decade
Frances Moore
11 papers receiving 453 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 369
- Physiology 24
- Cell Biology 45
- Physiology 69
- Cancer Research 35
Countries citing papers authored by Frances Moore
This map shows the geographic impact of Frances 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 Frances Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frances Moore more than expected).
Fields of papers citing papers by Frances Moore
This network shows the impact of papers produced by Frances 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 Frances Moore. The network helps show where Frances Moore may publish in the future.
Co-authors
The 16 scholars most cited alongside Frances Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 193 | |
| 2 | 2008 | 66 | |
| 3 | 1990 | 50 | |
| 4 | 2000 | 49 | |
| 5 | 2006 | 48 | |
| 6 | 1990 | 28 | |
| 7 | 2002 | 11 | |
| 8 | 2001 | 9 | |
| 9 | 1994 | 6 | |
| 10 | 2003 | 4 | |
| 11 | 1997 | 1 |
About Frances Moore
Frances Moore is a scholar working on Molecular Biology, Genetics, Physiology, Surgery and Epidemiology, having authored 11 papers that have together received 465 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Adipose Tissue and Metabolism (2 papers), Muscle Physiology and Disorders (2 papers), Pancreatic function and diabetes (1 paper), Mesenchymal stem cell research (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Molecular Biology (369 citations), Physiology (24 citations), Cell Biology (45 citations), Physiology (69 citations) and Cancer Research (35 citations). Frances Moore has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include D. Grahame Hardie, John Weekes, Carola U. Niesler, Andrés López Bernal, Kathryn H. Myburgh, James Riordan, Ben Loos, Philip Cohen, Timothy Haystead and Elske J. Schabort. Their work appears in journals such as Prostaglandins & Other Lipid Mediators, European Journal of Biochemistry, Biochemical Society Transactions, Experimental Cell Research and Biochemistry.
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.