Natalie D. Luscombe‐Marsh

7.0k total citations
80 papers, 5.1k citations indexed

About

Natalie D. Luscombe‐Marsh is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Natalie D. Luscombe‐Marsh has authored 80 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Physiology, 29 papers in Public Health, Environmental and Occupational Health and 25 papers in Cell Biology. Recurrent topics in Natalie D. Luscombe‐Marsh's work include Diet and metabolism studies (45 papers), Muscle metabolism and nutrition (25 papers) and Nutritional Studies and Diet (17 papers). Natalie D. Luscombe‐Marsh is often cited by papers focused on Diet and metabolism studies (45 papers), Muscle metabolism and nutrition (25 papers) and Nutritional Studies and Diet (17 papers). Natalie D. Luscombe‐Marsh collaborates with scholars based in Australia, Netherlands and Singapore. Natalie D. Luscombe‐Marsh's 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 and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Natalie D. Luscombe‐Marsh

80 papers receiving 4.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Natalie D. Luscombe‐Marsh Australia	36	3.6k	1.8k	1.3k	1.1k	770	80	5.1k
S Toubro Denmark	37	3.0k 0.8×	1.6k 0.9×	899 0.7×	854 0.8×	695 0.9×	56	5.3k
Stephen D. Phinney United States	41	4.4k 1.2×	1.3k 0.7×	1.6k 1.2×	1.9k 1.7×	1.0k 1.4×	112	6.8k
Grant D. Brinkworth Australia	41	3.4k 1.0×	2.1k 1.1×	899 0.7×	1.7k 1.5×	410 0.5×	103	5.8k
Éric Doucet Canada	46	3.3k 0.9×	2.0k 1.1×	504 0.4×	559 0.5×	630 0.8×	157	5.7k
Sally D. Poppitt New Zealand	35	2.1k 0.6×	1.2k 0.6×	531 0.4×	731 0.6×	978 1.3×	147	4.6k
Heather J. Leidy United States	33	2.3k 0.6×	1.7k 0.9×	917 0.7×	286 0.3×	439 0.6×	104	3.6k
Eric C. Westman United States	43	4.6k 1.3×	1.6k 0.9×	659 0.5×	2.0k 1.7×	358 0.5×	83	6.4k
Linda Morgan United Kingdom	43	2.2k 0.6×	1.1k 0.6×	614 0.5×	2.0k 1.8×	1.4k 1.9×	114	6.8k
Daniel H. Bessesen United States	35	2.2k 0.6×	843 0.5×	270 0.2×	1.0k 0.9×	436 0.6×	117	4.3k
Nancy L. Keim United States	37	3.6k 1.0×	1.5k 0.8×	414 0.3×	2.6k 2.3×	1.2k 1.6×	141	6.6k

Countries citing papers authored by Natalie D. Luscombe‐Marsh

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Mellow, Maddison L., Natalie D. Luscombe‐Marsh, Pennie Taylor, Peter Kenny, & Kurt Lushington. (2023). Food, nutrition and the dining experience in aged care settings: Findings of a nationwide survey. Australasian Journal on Ageing. 43(1). 100–111. 3 indexed citations

Sergi, Domenico, Natalie D. Luscombe‐Marsh, Nenad Naumovski, Mahinda Y. Abeywardena, & Nathan J. O’Callaghan. (2023). Long-chain saturated fatty acids at the interface between mitochondrial dysfunction and OxInflammation: implications for metabolic health. Free Radical Biology and Medicine. 198. S3–S3. 1 indexed citations

Matwiejczyk, Louisa, et al.. (2023). Determining Dietary Patterns to Recommend for Type 2 Diabetes: An Umbrella Review. Nutrients. 15(4). 861–861. 13 indexed citations

Jadczak, Agathe Daria, Renuka Visvanathan, Robert Barnard, & Natalie D. Luscombe‐Marsh. (2021). A Randomized Controlled Pilot Exercise and Protein Effectiveness Supplementation Study (EXPRESS) on Reducing Frailty Risk in Community-Dwelling Older People. Journal of Nutrition in Gerontology and Geriatrics. 40(1). 26–45. 8 indexed citations

Brinkworth, Grant D., et al.. (2020). Very Low and Higher Carbohydrate Diets Promote Differential Appetite Responses in Adults with Type 2 Diabetes: A Randomized Trial. Journal of Nutrition. 150(4). 800–805. 10 indexed citations

Hajishafiee, Maryam, Robert E. Steinert, Sally D. Poppitt, et al.. (2020). Effects of intragastric tryptophan on acute changes in the plasma tryptophan/large neutral amino acids ratio and relationship with subsequent energy intake in lean and obese men. Food & Function. 11(8). 7095–7103. 5 indexed citations

Choo, Jocelyn M., Cuong D. Tran, Natalie D. Luscombe‐Marsh, et al.. (2020). Almond consumption affects fecal microbiota composition, stool pH, and stool moisture in overweight and obese adults with elevated fasting blood glucose: A randomized controlled trial. Nutrition Research. 85. 47–59. 26 indexed citations

Jadczak, Agathe Daria, et al.. (2018). Effectiveness of exercise interventions on physical function in community-dwelling frail older people: an umbrella review of systematic reviews. The JBI Database of Systematic Reviews and Implementation Reports. 16(3). 752–775. 181 indexed citations

Jadczak, Agathe Daria, et al.. (2017). The EXPRESS Study: Exercise and Protein Effectiveness Supplementation Study supporting autonomy in community dwelling frail older people‐study protocol for a randomized controlled pilot and feasibility study. Pilot and Feasibility Studies. 4(1). 8–8. 6 indexed citations

10.

Schober, Gudrun, Kylie Lange, Robert E. Steinert, et al.. (2016). Contributions of upper gut hormones and motility to the energy intake-suppressant effects of intraduodenal nutrients in healthy, lean men - a pooled-data analysis. Physiological Reports. 4(17). e12943–e12943. 10 indexed citations

11.

Luscombe‐Marsh, Natalie D., Amy T. Hutchison, Stijn Soenen, et al.. (2016). Plasma Free Amino Acid Responses to Intraduodenal Whey Protein, and Relationships with Insulin, Glucagon-Like Peptide-1 and Energy Intake in Lean Healthy Men. Nutrients. 8(1). 4–4. 25 indexed citations

12.

Hutchison, Amy T., Michael Horowitz, Karen L. Jones, et al.. (2015). Acute load-dependent effects of oral whey protein on gastric emptying, gut hormone release, glycemia, appetite, and energy intake in healthy men. American Journal of Clinical Nutrition. 102(6). 1574–1584. 61 indexed citations

13.

Leidy, Heather J., Peter Clifton, Arne Astrup, et al.. (2015). The role of protein in weight loss and maintenance. American Journal of Clinical Nutrition. 101(6). 1320S–1329S. 314 indexed citations

14.

Smeets, A., Stijn Soenen, Natalie D. Luscombe‐Marsh, Øydis Ueland, & Margriet S. Westerterp‐Plantenga. (2008). Energy Expenditure, Satiety, and Plasma Ghrelin, Glucagon-Like Peptide 1, and Peptide Tyrosine-Tyrosine Concentrations following a Single High-Protein Lunch. Journal of Nutrition. 138(4). 698–702. 107 indexed citations

15.

Lejeune, M P G M, Klaas R. Westerterp, Tanja C. Adam, Natalie D. Luscombe‐Marsh, & Margriet S. Westerterp‐Plantenga. (2006). Ghrelin and glucagon-like peptide 1 concentrations, 24-h satiety, and energy and substrate metabolism during a high-protein diet and measured in a respiration chamber. American Journal of Clinical Nutrition. 83(1). 89–94. 267 indexed citations

16.

Luscombe‐Marsh, Natalie D., et al.. (2006). Use of [14C]-sodium bicarbonate/urea to measure total energy expenditure in overweight men and women before and after low calorie diet induced weight loss.. PubMed. 15(3). 307–16. 7 indexed citations

17.

Moran, Lisa, Natalie D. Luscombe‐Marsh, Manny Noakes, et al.. (2005). The Satiating Effect of Dietary Protein Is Unrelated to Postprandial Ghrelin Secretion. The Journal of Clinical Endocrinology & Metabolism. 90(9). 5205–5211. 63 indexed citations

18.

Luscombe‐Marsh, Natalie D., Manny Noakes, Gary Wittert, et al.. (2005). Carbohydrate-restricted diets high in either monounsaturated fat or protein are equally effective at promoting fat loss and improving blood lipids. American Journal of Clinical Nutrition. 81(4). 762–772. 103 indexed citations

19.

Moran, Lisa, M. Noakes, Peter Clifton, et al.. (2004). Ghrelin and Measures of Satiety Are Altered in Polycystic Ovary Syndrome But Not Differentially Affected by Diet Composition. The Journal of Clinical Endocrinology & Metabolism. 89(7). 3337–3344. 135 indexed citations

20.

Luscombe‐Marsh, Natalie D., et al.. (2003). Effect of a high-protein, energy-restricted diet on body composition, glycemic control, and lipid concentrations in overweight and obese hyperinsulinemic men and women. American Journal of Clinical Nutrition. 78(1). 31–39. 350 indexed citations

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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