Robert L. Beverly

924 total citations · 1 hit paper
14 papers, 720 citations indexed

About

Robert L. Beverly is a scholar working on Nutrition and Dietetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Robert L. Beverly has authored 14 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nutrition and Dietetics, 7 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Robert L. Beverly's work include Infant Nutrition and Health (11 papers), Protein Hydrolysis and Bioactive Peptides (7 papers) and Breastfeeding Practices and Influences (5 papers). Robert L. Beverly is often cited by papers focused on Infant Nutrition and Health (11 papers), Protein Hydrolysis and Bioactive Peptides (7 papers) and Breastfeeding Practices and Influences (5 papers). Robert L. Beverly collaborates with scholars based in United States, Denmark and Italy. Robert L. Beverly's co-authors include David C. Dallas, Søren Drud-Heydary Nielsen, Yunyao Qu, Mark A. Underwood, Véronique Demers‐Mathieu, Robert K. Huston, Rachel L. Martin, Brian Scottoline, Ningjian Liang and Shosuke Yoshida and has published in prestigious journals such as PLoS ONE, Food Chemistry and Journal of Bacteriology.

In The Last Decade

Robert L. Beverly

13 papers receiving 700 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.

Milk bioactive peptide database: A comprehensive database of milk protein-derived bioactive peptides and novel visualization

2017 376 citations Søren Drud-Heydary Nielsen, Robert L. Beverly et al. Food Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert L. Beverly United States	13	476	328	242	134	83	14	720
Gaku Harata Japan	13	389 0.8×	166 0.5×	340 1.4×	146 1.1×	11 0.1×	25	689
Martin J. Kullen United States	12	437 0.9×	310 0.9×	409 1.7×	61 0.5×	33 0.4×	16	718
Nanda de Groot Netherlands	14	499 1.0×	186 0.6×	92 0.4×	141 1.1×	10 0.1×	22	956
Kelsey Fehr Canada	9	296 0.6×	164 0.5×	151 0.6×	88 0.7×	17 0.2×	16	535
M.P. Díaz-Ropero Spain	9	355 0.7×	331 1.0×	406 1.7×	103 0.8×	20 0.2×	11	657
Jeremy A. Peña United States	8	311 0.7×	113 0.3×	300 1.2×	43 0.3×	21 0.3×	10	590
Susana Manzano Spain	10	116 0.2×	139 0.4×	157 0.6×	84 0.6×	68 0.8×	13	427
K. Shimazaki Japan	13	192 0.4×	281 0.9×	179 0.7×	47 0.4×	17 0.2×	48	560
H.Nelson Hardy United Kingdom	3	202 0.4×	85 0.3×	162 0.7×	20 0.1×	39 0.5×	5	396
Eugénie Huillet France	8	383 0.8×	38 0.1×	173 0.7×	41 0.3×	19 0.2×	11	656

Countries citing papers authored by Robert L. Beverly

Since Specialization

Citations

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

Fields of papers citing papers by Robert L. Beverly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Beverly. 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 Robert L. Beverly. The network helps show where Robert L. Beverly may publish in the future.

Co-authorship network of co-authors of Robert L. Beverly

This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. Beverly. A scholar is included among the top collaborators of Robert L. Beverly 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 Robert L. Beverly. Robert L. Beverly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Jiang, Xingyi, et al.. (2025). Evaluation of gluten transfer from reused frying oil to food. Food Control. 178. 111461–111461.

Liang, Ningjian, Robert L. Beverly, Brian Scottoline, & David C. Dallas. (2021). Peptides Derived from In Vitro and In Vivo Digestion of Human Milk Are Immunomodulatory in THP-1 Human Macrophages. Journal of Nutrition. 152(1). 331–342. 14 indexed citations

Beverly, Robert L., et al.. (2021). Peptides from the Intestinal Tract of Breast Milk-Fed Infants Have Antimicrobial and Bifidogenic Activity. International Journal of Molecular Sciences. 22(5). 2377–2377. 17 indexed citations

Beverly, Robert L., et al.. (2020). Differences in human milk peptide release along the gastrointestinal tract between preterm and term infants. Clinical Nutrition. 40(3). 1214–1223. 21 indexed citations

Nielsen, Søren Drud-Heydary, Robert L. Beverly, Mark A. Underwood, & David C. Dallas. (2020). Differences and Similarities in the Peptide Profile of Preterm and Term Mother’s Milk, and Preterm and Term Infant Gastric Samples. Nutrients. 12(9). 2825–2825. 18 indexed citations

Beverly, Robert L., et al.. (2019). Milk Peptides Survive In Vivo Gastrointestinal Digestion and Are Excreted in the Stool of Infants. Journal of Nutrition. 150(4). 712–721. 30 indexed citations

Beverly, Robert L., Mark A. Underwood, & David C. Dallas. (2019). Peptidomics Analysis of Milk Protein-Derived Peptides Released over Time in the Preterm Infant Stomach. Journal of Proteome Research. 18(3). 912–922. 37 indexed citations

Nielsen, Søren Drud-Heydary, Robert L. Beverly, Mark A. Underwood, & David C. Dallas. (2018). Release of functional peptides from mother's milk and fortifier proteins in the premature infant stomach. PLoS ONE. 13(11). e0208204–e0208204. 42 indexed citations

Demers‐Mathieu, Véronique, Mark A. Underwood, Robert L. Beverly, & David C. Dallas. (2018). Survival of Immunoglobulins from Human Milk to Preterm Infant Gastric Samples at 1, 2, and 3 h Postprandial. Neonatology. 114(3). 242–250. 17 indexed citations

10.

Demers‐Mathieu, Véronique, Mark A. Underwood, Robert L. Beverly, Søren Drud-Heydary Nielsen, & David C. Dallas. (2018). Comparison of Human Milk Immunoglobulin Survival during Gastric Digestion between Preterm and Term Infants. Nutrients. 10(5). 631–631. 68 indexed citations

11.

Nielsen, Søren Drud-Heydary, Robert L. Beverly, & David C. Dallas. (2017). Milk Proteins Are Predigested Within the Human Mammary Gland. Journal of Mammary Gland Biology and Neoplasia. 22(4). 251–261. 39 indexed citations

12.

Nielsen, Søren Drud-Heydary, Robert L. Beverly, Yunyao Qu, & David C. Dallas. (2017). Milk bioactive peptide database: A comprehensive database of milk protein-derived bioactive peptides and novel visualization. Food Chemistry. 232. 673–682. 376 indexed citations breakdown →

13.

Nielsen, Søren Drud-Heydary, Robert L. Beverly, & David C. Dallas. (2017). Peptides Released from Foremilk and Hindmilk Proteins by Breast Milk Proteases Are Highly Similar. Frontiers in Nutrition. 4. 54–54. 24 indexed citations

14.

Yoshida, Shosuke, et al.. (2010). Domain Analysis of a Modular α- l -Arabinofuranosidase with a Unique Carbohydrate Binding Strategy from the Fiber-Degrading Bacterium Fibrobacter succinogenes S85. Journal of Bacteriology. 192(20). 5424–5436. 17 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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