Rhianna C. Laker
- Molecular Biology top 10%
- Physiology top 2%
- Epidemiology top 5%
- Endocrine and Autonomic Systems top 2%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Zhen YanMei ZhangKyle L. HoehnVitor A. LiraMitsuharu OkutsuRebecca J. WilsonDavid BreenKaren A. Ryall
- Topics
- Adipose Tissue and Metabolism (19 papers)Birth, Development, and Health (10 papers)Mitochondrial Function and Pathology (7 papers)
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Rhianna C. Laker
35 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.2k
- Physiology 1.0k
- Epidemiology 697
- Endocrine and Autonomic Systems 264
- Pediatrics, Perinatology and Child Health 245
Countries citing papers authored by Rhianna C. Laker
This map shows the geographic impact of Rhianna C. Laker'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 Rhianna C. Laker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rhianna C. Laker more than expected).
Fields of papers citing papers by Rhianna C. Laker
This network shows the impact of papers produced by Rhianna C. Laker. 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 Rhianna C. Laker. The network helps show where Rhianna C. Laker may publish in the future.
Co-authorship network of co-authors of Rhianna C. Laker
This figure shows the co-authorship network connecting the top 25 collaborators of Rhianna C. Laker. A scholar is included among the top collaborators of Rhianna C. Laker 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 Rhianna C. Laker. Rhianna C. Laker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 74 | |
| 4 | 11 | |
| 5 | 36 | |
| 6 | 14 | |
| 7 | Resolution of NASH and hepatic fibrosis by the GLP-1R and GCGR dual-agonist cotadutide via modulating mitochondrial function and lipogenesisbreakdown → | 200 |
| 8 | 25 | |
| 9 | 192 | |
| 10 | 50 | |
| 11 | Ampk phosphorylation of Ulk1 is required for targeting of mitochondria to lysosomes in exercise-induced mitophagybreakdown → | 384 |
| 12 | 38 | |
| 13 | 52 | |
| 14 | 19 | |
| 15 | 195 | |
| 16 | 86 | |
| 17 | 58 | |
| 18 | 5 | |
| 19 | 15 | |
| 20 | 79 |
About Rhianna C. Laker
Rhianna C. Laker is a scholar working on Endocrine and Autonomic Systems, Physiology and Obstetrics and Gynecology, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (19 papers), Birth, Development, and Health (10 papers) and Mitochondrial Function and Pathology (7 papers). The work is most often cited by research in Aging (85 citations), Physiology (1.0k citations) and Endocrine and Autonomic Systems (264 citations). Rhianna C. Laker has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Zhen Yan, Mei Zhang, Kyle L. Hoehn, Vitor A. Lira, Mitsuharu Okutsu, Rebecca J. Wilson, David Breen, Karen A. Ryall, Jeffrey J. Saucerman and Nicholas P. Greene. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Physiological Reviews.
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.