Natalie D. Luscombe‐Marsh
- Physiology top 0.5%
- Public Health, Environmental and Occupational Health top 0.5%
- Cell Biology top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Nutrition and Dietetics top 1%
- Co-authors
- Manny NoakesPeter CliftonGary WittertMargriet S. Westerterp‐PlantengaGrant D. BrinkworthMichael HorowitzStijn SoenenChristine Feinle‐Bisset
- Topics
- Diet and metabolism studies (45 papers)Muscle metabolism and nutrition (25 papers)Nutritional Studies and Diet (17 papers)
- Journals
- PLoS ONEAmerican Journal of Clinical NutritionThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- AustraliaNetherlandsSingapore
In The Last Decade
Natalie D. Luscombe‐Marsh
80 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 127
- Physiology 3.6k
- Public Health, Environmental and Occupational Health 1.8k
- Cell Biology 1.3k
- Endocrinology, Diabetes and Metabolism 1.1k
- Nutrition and Dietetics 770
Countries citing papers authored by Natalie D. Luscombe‐Marsh
This map shows the geographic impact of Natalie D. Luscombe‐Marsh'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 Natalie D. Luscombe‐Marsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie D. Luscombe‐Marsh more than expected).
Fields of papers citing papers by Natalie D. Luscombe‐Marsh
This network shows the impact of papers produced by Natalie D. Luscombe‐Marsh. 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 Natalie D. Luscombe‐Marsh. The network helps show where Natalie D. Luscombe‐Marsh may publish in the future.
Co-authorship network of co-authors of Natalie D. Luscombe‐Marsh
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie D. Luscombe‐Marsh. A scholar is included among the top collaborators of Natalie D. Luscombe‐Marsh 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 Natalie D. Luscombe‐Marsh. Natalie D. Luscombe‐Marsh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 10 | |
| 5 | 26 | |
| 6 | 250 | |
| 7 | 56 | |
| 8 | 10 | |
| 9 | 25 | |
| 10 | 38 | |
| 11 | 61 | |
| 12 | 314 | |
| 13 | 41 | |
| 14 | 35 | |
| 15 | 9 | |
| 16 | 107 | |
| 17 | 44 | |
| 18 | 267 | |
| 19 | 103 | |
| 20 | 350 |
About Natalie D. Luscombe‐Marsh
Natalie D. Luscombe‐Marsh is a scholar working on Physiology, Endocrine and Autonomic Systems and Geriatrics and Gerontology, having authored 80 papers that have together received 5.1k indexed citations. Recurring topics across this work include Diet and metabolism studies (45 papers), Muscle metabolism and nutrition (25 papers) and Nutritional Studies and Diet (17 papers). The work is most often cited by research in Physiology (3.6k citations), Endocrine and Autonomic Systems (737 citations) and Cell Biology (1.3k citations). Natalie D. Luscombe‐Marsh has collaborated with scholars based in Australia, Netherlands and Singapore. Frequent co-authors include Manny Noakes, Peter Clifton, Gary Wittert, Margriet S. Westerterp‐Plantenga, Grant D. Brinkworth, Michael Horowitz, Stijn Soenen, Christine Feinle‐Bisset, M P G M Lejeune and Campbell Thompson. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.
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.