Theophile Murayi

2.7k total citations · 1 hit paper
23 papers, 2.0k citations indexed

About

Theophile Murayi is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Theophile Murayi has authored 23 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 6 papers in Physiology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Theophile Murayi's work include Obesity, Physical Activity, Diet (14 papers), Nutritional Studies and Diet (12 papers) and Consumer Attitudes and Food Labeling (5 papers). Theophile Murayi is often cited by papers focused on Obesity, Physical Activity, Diet (14 papers), Nutritional Studies and Diet (12 papers) and Consumer Attitudes and Food Labeling (5 papers). Theophile Murayi collaborates with scholars based in United States and Rwanda. Theophile Murayi's co-authors include Alanna Moshfegh, Rhonda Sebastian, Donna Rhodes, John Clemens, David J. Baer, Linda Cleveland, William V. Rumpler, David R. Paul, Linda Ingwersen and Kevin Kuczynski and has published in prestigious journals such as American Journal of Clinical Nutrition, The FASEB Journal and Journal of Nutrition.

In The Last Decade

Theophile Murayi

21 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes

2008 1.5k citations Alanna Moshfegh, Donna Rhodes et al. American Journal of Clinical Nutrition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Theophile Murayi United States	9	1.4k	591	440	219	122	23	2.0k
Rhonda Sebastian United States	14	1.6k 1.1×	609 1.0×	558 1.3×	239 1.1×	134 1.1×	40	2.3k
John Clemens United States	11	1.4k 1.0×	538 0.9×	489 1.1×	200 0.9×	101 0.8×	28	1.9k
Antigone Kouris‐Blazos Australia	16	1.3k 0.9×	647 1.1×	356 0.8×	134 0.6×	91 0.7×	37	1.9k
Linda Cleveland United States	15	2.1k 1.5×	673 1.1×	657 1.5×	389 1.8×	115 0.9×	33	2.8k
Carmen de la Fuente‐Arrillaga Spain	21	2.0k 1.4×	722 1.2×	353 0.8×	122 0.6×	173 1.4×	45	2.6k
Maria Hassapidou Greece	24	1.0k 0.7×	689 1.2×	309 0.7×	307 1.4×	214 1.8×	90	2.5k
Mahshid Dehghan Canada	17	1.2k 0.8×	595 1.0×	392 0.9×	312 1.4×	98 0.8×	33	2.1k
Suzanne McNutt United States	11	1.6k 1.1×	707 1.2×	398 0.9×	323 1.5×	85 0.7×	21	2.4k
A Welch United Kingdom	15	756 0.5×	451 0.8×	313 0.7×	276 1.3×	170 1.4×	25	1.9k
Lourdes Ribas‐Barba Spain	26	1.1k 0.8×	488 0.8×	271 0.6×	353 1.6×	92 0.8×	40	1.9k

Countries citing papers authored by Theophile Murayi

Since Specialization

Citations

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

Fields of papers citing papers by Theophile Murayi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theophile Murayi

This figure shows the co-authorship network connecting the top 25 collaborators of Theophile Murayi. A scholar is included among the top collaborators of Theophile Murayi 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 Theophile Murayi. Theophile Murayi 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

Hoy, M. Katherine, Theophile Murayi, Rhonda Sebastian, & Alanna Moshfegh. (2025). Percentage of total protein intake from animal and plant sources differ by some demographic characteristics but not others among U.S. adults: What We Eat in America, NHANES 2015–2018. Journal of Food Composition and Analysis. 143. 107559–107559.

Hoy, M. Katherine, Theophile Murayi, & Alanna Moshfegh. (2022). Diet Quality and Food Intakes samong US Adults by Level of Animal Protein Intake, What We Eat in America, NHANES 2015–2018. Current Developments in Nutrition. 6(5). nzac035–nzac035. 20 indexed citations

Hoy, M. Katherine, Theophile Murayi, & Alanna Moshfegh. (2022). Effect of Animal Protein Intake on Meeting Recommendations for Nutrient Intake among US Adults, What We Eat in America, NHANES 2015–2018. Current Developments in Nutrition. 7(2). 100027–100027. 3 indexed citations

Hoy, M. Katherine, Theophile Murayi, & Alanna Moshfegh. (2022). Diet Quality of Frequent Fast-Food Consumers on a Non-Fast Food Intake Day Is Similar to a Day with Fast Food, What We Eat in America, NHANES 2013-2016. Journal of the Academy of Nutrition and Dietetics. 122(7). 1317–1325. 3 indexed citations

Sebastian, Rhonda, Cecilia Wilkinson Enns, Joseph D. Goldman, Theophile Murayi, & Alanna Moshfegh. (2021). Late Evening Eating Patterns among US Adults Vary in Their Associations With, and Impact on, Energy Intake and Diet Quality: Evidence from What We Eat in America, National Health and Nutrition Examination Survey 2013-2016. Journal of the Academy of Nutrition and Dietetics. 122(5). 932–948.e3. 7 indexed citations

Sebastian, Rhonda, Marie Fanelli Kuczmarski, Cecilia Wilkinson Enns, et al.. (2021). Application of the Database of Flavonoid Values for USDA Food Codes 2007–2010 in assessing intake differences between the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study and What We Eat in America (WWEIA), NHANES. Journal of Food Composition and Analysis. 104. 104124–104124. 7 indexed citations

Sebastian, Rhonda, Cecilia Wilkinson Enns, Joseph Goldman, Theophile Murayi, & Alanna Moshfegh. (2020). Late Evening Food Patterns of U.S. Adults Are Differentially Associated with Total Energy Intake and Diet Quality: Results from What We Eat in America, NHANES 2013–2016. Current Developments in Nutrition. 4. nzaa046_064–nzaa046_064. 1 indexed citations

Kuczmarski, Marie Fanelli, Rhonda Sebastian, Joseph D. Goldman, et al.. (2018). Dietary Flavonoid Intakes Are Associated with Race but Not Income in an Urban Population. Nutrients. 10(11). 1749–1749. 14 indexed citations

Sebastian, Rhonda, Cecilia Wilkinson Enns, Joseph D. Goldman, et al.. (2017). New, publicly available flavonoid data products: Valuable resources for emerging science. Journal of Food Composition and Analysis. 64. 68–72. 4 indexed citations

10.

Sebastian, Rhonda, Cecilia Wilkinson Enns, Joseph D. Goldman, et al.. (2015). A New Database Facilitates Characterization of Flavonoid Intake, Sources, and Positive Associations with Diet Quality among US Adults ,. Journal of Nutrition. 145(6). 1239–1248. 104 indexed citations

11.

Rhodes, Donna, Theophile Murayi, John Clemens, et al.. (2013). The USDA Automated Multiple-Pass Method accurately assesses population sodium intakes. American Journal of Clinical Nutrition. 97(5). 958–964. 127 indexed citations

12.

Steinfeldt, Lois, Jaswinder Anand, & Theophile Murayi. (2013). Food Reporting Patterns in the USDA Automated Multiple-Pass Method. Procedia Food Science. 2. 145–156. 106 indexed citations

13.

Rhodes, Donna, et al.. (2009). Low energy reporting by adults in What We Eat In America, NHANES 2003‐2006. The FASEB Journal. 23(S1). 1 indexed citations

14.

Moshfegh, Alanna, Donna Rhodes, David J. Baer, et al.. (2008). The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. American Journal of Clinical Nutrition. 88(2). 324–332. 1476 indexed citations breakdown →

15.

Rhodes, Donna, Linda Cleveland, Theophile Murayi, & Alanna Moshfegh. (2007). The effect of weekend eating on nutrient intakes and dietary patterns. The FASEB Journal. 21(6). 7 indexed citations

16.

Simões, Eduardo J., et al.. (2002). The Prevalence of Arthritis and Activity Limitation and Their Predictors in Missouri. Journal of Community Health. 27(2). 91–107. 7 indexed citations

17.

Brownson, Ross C., Thomas L. Schmid, Abby C. King, et al.. (1998). Support for Policy Interventions to Increase Physical Activity in Rural Missouri. American Journal of Health Promotion. 12(4). 263–266. 42 indexed citations

18.

Yang, Samantha, et al.. (1998). Multistate surveillance for food-handling, preparation, and consumption behaviors associated with foodborne diseases: 1995 and 1996 BRFSS food-safety questions.. PubMed. 47(4). 33–57. 55 indexed citations

19.

Simões, Eduardo J., et al.. (1998). Prevalence changes in modifiable cardiovascular disease risk factors in three Missouri regions, 1990-1996.. PubMed. 95(12). 654–62. 3 indexed citations

20.

Wilson, R.T. & Theophile Murayi. (1988). Productivity of the Small East African goat and its crosses with the Anglo-Nubian and the Alpine in Rwanda. Tropical Animal Health and Production. 20(4). 219–228. 21 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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