Alberta N. A. Aryee

2.1k total citations
55 papers, 1.2k citations indexed

About

Alberta N. A. Aryee is a scholar working on Food Science, Molecular Biology and Plant Science. According to data from OpenAlex, Alberta N. A. Aryee has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Food Science, 17 papers in Molecular Biology and 16 papers in Plant Science. Recurrent topics in Alberta N. A. Aryee's work include Proteins in Food Systems (12 papers), Phytase and its Applications (11 papers) and Enzyme Catalysis and Immobilization (8 papers). Alberta N. A. Aryee is often cited by papers focused on Proteins in Food Systems (12 papers), Phytase and its Applications (11 papers) and Enzyme Catalysis and Immobilization (8 papers). Alberta N. A. Aryee collaborates with scholars based in United States, Canada and Australia. Alberta N. A. Aryee's co-authors include Benjamin K. Simpson, Joyce I. Boye, Taiwo O. Akanbi, Dominic Agyei, F.R. van de Voort, María Carlota Vaz Patto, María Á. Martín-Cabrejas, Claire Domoney, Ifeanyi D. Nwachukwu and Ryszard Amarowicz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and The FASEB Journal.

In The Last Decade

Alberta N. A. Aryee

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberta N. A. Aryee United States 18 419 357 353 268 199 55 1.2k
Keshun Liu United States 23 539 1.3× 612 1.7× 294 0.8× 449 1.7× 159 0.8× 63 1.5k
Xianqing Yang China 19 264 0.6× 189 0.5× 536 1.5× 127 0.5× 209 1.1× 43 1.1k
Seng Joe Lim Malaysia 24 619 1.5× 278 0.8× 611 1.7× 261 1.0× 536 2.7× 87 1.8k
Francisco J. Martí-Quijal Spain 19 439 1.0× 236 0.7× 476 1.3× 137 0.5× 161 0.8× 46 1.3k
Ailton César Lemes Brazil 18 428 1.0× 194 0.5× 419 1.2× 259 1.0× 59 0.3× 59 1.1k
Ancuţa M. Rotar Romania 16 539 1.3× 286 0.8× 192 0.5× 126 0.5× 115 0.6× 65 1.0k
Eliane Colla Brazil 18 499 1.2× 182 0.5× 300 0.8× 197 0.7× 98 0.5× 50 1.1k
Sari Mäkinen Finland 16 501 1.2× 309 0.9× 524 1.5× 245 0.9× 83 0.4× 29 1.3k
Natta Laohakunjit Thailand 24 471 1.1× 450 1.3× 417 1.2× 265 1.0× 68 0.3× 48 1.2k
Filipa B. Pimentel Portugal 19 473 1.1× 226 0.6× 377 1.1× 167 0.6× 282 1.4× 32 1.4k

Countries citing papers authored by Alberta N. A. Aryee

Since Specialization
Citations

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

Fields of papers citing papers by Alberta N. A. Aryee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberta N. A. Aryee. 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 Alberta N. A. Aryee. The network helps show where Alberta N. A. Aryee may publish in the future.

Co-authorship network of co-authors of Alberta N. A. Aryee

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

All Works

20 of 20 papers shown
1.
Lomas, Michael W., et al.. (2025). Astaxanthin: An overview of its sources, extraction methods, encapsulation techniques, characterization, and bioavailability. Journal of Agriculture and Food Research. 21. 101869–101869. 6 indexed citations
2.
Wyatt, Victor T., et al.. (2025). Encapsulation of a PUFA-rich oil in alginate-protein hydrogels. LWT. 228. 117970–117970. 1 indexed citations
4.
Lomas, Michael W., et al.. (2025). Characterization of weakened Haematococcus pluvialis encapsulated in alginate‐based hydrogel. Journal of the Science of Food and Agriculture. 105(10). 5494–5506.
5.
Nwachukwu, Ifeanyi D., et al.. (2025). Examining the impact of crops and foods biofortified with micronutrients on the gut microbiome. Food Research International. 209. 116189–116189.
6.
Aryee, Alberta N. A., et al.. (2024). Changes in nutritional quality of hempseed flours with germination and enzyme pretreatment. Food Bioscience. 63. 105718–105718.
7.
Kaleda, Aleksei, et al.. (2024). Characterization of quality parameters and phytosterol content in oils and their formulated margarines. Food Science & Nutrition. 12(12). 10110–10122.
8.
Zhou, Wei, Anthony Ananga, Dike O. Ukuku, & Alberta N. A. Aryee. (2023). High Salt Concentration Affects the Microbial Diversity of Cassava during Fermentation, as Revealed by 16S rRNA Gene Sequencing. Fermentation. 9(8). 727–727. 1 indexed citations
9.
Klomklao, Sappasith, Yi Zhang, Alberta N. A. Aryee, et al.. (2023). Characteristics of gelatin from lizardfish (Saurida micropectoralis) and threadfin bream (Nemipterus hexodon) skins as influenced by extraction conditions. Journal of Food Science and Technology. 60(11). 2813–2824. 1 indexed citations
10.
Aryee, Alberta N. A., et al.. (2023). Current trends in nano-delivery systems for functional foods: a systematic review. PeerJ. 11. e14980–e14980. 10 indexed citations
11.
Attoh-Okine, Nii, et al.. (2023). Machine Learning Approaches for Predicting Fatty Acid Classes in Popular US Snacks Using NHANES Data. Nutrients. 15(15). 3310–3310. 7 indexed citations
12.
Onuh, John O., et al.. (2023). Bioactive fatty acids from non‐conventional lipid sources and their potential application in functional food development. Food Science & Nutrition. 11(10). 5689–5700. 9 indexed citations
13.
Nwachukwu, Ifeanyi D., et al.. (2023). Trends and innovations in the formulation of plant-based foods. Food Production Processing and Nutrition. 5(1). 69 indexed citations
14.
Aryee, Alberta N. A., et al.. (2023). Development of protein isolate-alginate-based delivery system to improve oxidative stability of njangsa (Ricinodendron heudelotii) seed oil. Food Bioscience. 53. 102768–102768. 3 indexed citations
15.
Onuh, John O., et al.. (2023). Nutritional and potential health benefits of fermented food proteins. Journal of the Science of Food and Agriculture. 104(3). 1223–1233. 11 indexed citations
16.
Aryee, Alberta N. A., et al.. (2023). Using machine learning models to predict the quality of plant-based foods. Current Research in Food Science. 7. 100544–100544. 13 indexed citations
17.
Saalia, Firibu Kwesi, et al.. (2022). Effect of organic acid pre-treatment on polyphenol oxidase induced browning and sensory quality of frozen yam chips. Applied Food Research. 2(2). 100165–100165. 9 indexed citations
18.
Aryee, Alberta N. A., et al.. (2022). Perspectives on preserving lipid quality and strategies for value enhancement. Current Opinion in Food Science. 44. 100802–100802. 20 indexed citations
19.
Akanbi, Taiwo O., et al.. (2022). Valorization of seed and kernel marcs and evaluation of their antioxidant potential. Food Chemistry. 390. 133168–133168. 6 indexed citations
20.
Okolie, Chigozie Louis, Subin R. C. K. Rajendran, Chibuike C. Udenigwe, Alberta N. A. Aryee, & Beth Mason. (2017). Prospects of brown seaweed polysaccharides (BSP) as prebiotics and potential immunomodulators. Journal of Food Biochemistry. 41(5). e12392–e12392. 71 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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