Jayani Chandrapala

5.6k total citations · 2 hit papers
128 papers, 4.2k citations indexed

About

Jayani Chandrapala is a scholar working on Food Science, Biotechnology and Animal Science and Zoology. According to data from OpenAlex, Jayani Chandrapala has authored 128 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Food Science, 33 papers in Biotechnology and 30 papers in Animal Science and Zoology. Recurrent topics in Jayani Chandrapala's work include Proteins in Food Systems (86 papers), Microencapsulation and Drying Processes (70 papers) and Meat and Animal Product Quality (29 papers). Jayani Chandrapala is often cited by papers focused on Proteins in Food Systems (86 papers), Microencapsulation and Drying Processes (70 papers) and Meat and Animal Product Quality (29 papers). Jayani Chandrapala collaborates with scholars based in Australia, Netherlands and Sri Lanka. Jayani Chandrapala's co-authors include Muthupandian Ashokkumar, Bogdan Zisu, Sandra E. Kentish, Todor Vasiljevic, Martin Palmer, Christine Oliver, Thom Huppertz, Benu Adhikari, Dimuthu Bogahawaththa and Akalya Shanmugam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Journal of Membrane Science.

In The Last Decade

Jayani Chandrapala

123 papers receiving 4.2k citations

Hit Papers

Effects of ultrasound on the thermal and structural chara... 2011 2026 2016 2021 2011 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jayani Chandrapala Australia 36 3.0k 1.0k 1.0k 793 573 128 4.2k
Bogdan Zisu Australia 32 2.4k 0.8× 738 0.7× 695 0.7× 537 0.7× 553 1.0× 64 3.1k
Márcia C. Silva Brazil 41 2.7k 0.9× 902 0.9× 1.1k 1.1× 1.2k 1.5× 1.2k 2.0× 88 4.6k
Michel Britten Canada 43 3.7k 1.2× 661 0.6× 244 0.2× 1.2k 1.5× 1.1k 1.9× 151 5.0k
Zhongjiang Wang China 31 2.6k 0.9× 770 0.7× 256 0.3× 708 0.9× 869 1.5× 108 3.6k
Alistair S. Grandison United Kingdom 40 2.4k 0.8× 747 0.7× 504 0.5× 984 1.2× 1.3k 2.3× 147 4.7k
Richard Ipsen Denmark 40 3.6k 1.2× 655 0.6× 310 0.3× 978 1.2× 1.0k 1.8× 144 4.5k
Yongguo Jin China 35 2.0k 0.7× 810 0.8× 326 0.3× 967 1.2× 417 0.7× 120 3.3k
Long Sheng China 36 2.4k 0.8× 738 0.7× 247 0.2× 844 1.1× 493 0.9× 116 3.7k
Juliane Floury France 29 1.8k 0.6× 360 0.3× 394 0.4× 423 0.5× 468 0.8× 58 2.7k
James A. O’Mahony Ireland 45 5.1k 1.7× 924 0.9× 392 0.4× 1.5k 1.9× 2.1k 3.7× 212 7.1k

Countries citing papers authored by Jayani Chandrapala

Since Specialization
Citations

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

Fields of papers citing papers by Jayani Chandrapala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayani Chandrapala

This figure shows the co-authorship network connecting the top 25 collaborators of Jayani Chandrapala. A scholar is included among the top collaborators of Jayani Chandrapala 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 Jayani Chandrapala. Jayani Chandrapala 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.
2.
divya, divya divya, et al.. (2025). Impact of Conventional and Advanced Techniques on Stability of Natural Food Colourants. Foods. 14(18). 3187–3187. 2 indexed citations
4.
Silva, Igor d’Anciães Almeida, et al.. (2025). Elimination of Trans Fatty Acids from Foods Using Novel Technologies. Food Reviews International. 42(2). 802–830. 1 indexed citations
6.
Pillidge, Christopher J., et al.. (2025). Physicochemical properties of hybrid cheddar-type curd gels made from bovine milk and plant protein isolates. Food Hydrocolloids. 171. 111799–111799. 1 indexed citations
7.
Xu, Haining, Jayani Chandrapala, Mokhtar Dabbour, et al.. (2025). Interfacial properties and stability of Pickering emulsion stabilized by silkworm pupa protein and preparation of emulsion-filled hydrogel with high hardness: Effect of sodium alginate and ultrasonication. International Journal of Biological Macromolecules. 316(Pt 2). 144770–144770. 2 indexed citations
8.
Zhao, Yuanyuan, Juhi Saxena, Jayani Chandrapala, & Tuyen Truong. (2024). Impact of low frequency ultrasound on physicochemical and structural properties of protein-lactose systems with varying caseins, whey proteins and calcium. Journal of Food Engineering. 386. 112283–112283. 6 indexed citations
9.
Chandrapala, Jayani, et al.. (2024). Food odour perception and affective response in Virtual spacecraft and microgravity body posture (1-G) – Potential ground-based simulations. Food Research International. 197(Pt 2). 115260–115260. 2 indexed citations
10.
Zhao, Yuanyuan, Juhi Saxena, Tuyen Truong, & Jayani Chandrapala. (2024). Interactions between Lactose-Proteins-Minerals in Dairy Systems: A Review. 1 indexed citations
11.
Senanayake, G., et al.. (2024). Bioactive compounds and digestible starch variability of rice, maize, green gram, and soy grains with different levels of germination. International Journal of Food Science & Technology. 59(12). 9273–9286. 3 indexed citations
12.
Huppertz, Thom, et al.. (2024). Effect of pH and Shear on Heat-Induced Changes in Milk Protein Concentrate Suspensions. Foods. 13(10). 1517–1517. 4 indexed citations
13.
Huppertz, Thom, et al.. (2024). Effect of Protein Content on Heat Stability of Reconstituted Milk Protein Concentrate under Controlled Shearing. Foods. 13(2). 263–263. 3 indexed citations
14.
Zhao, Yuanyuan, et al.. (2023). Effect of low frequency ultrasound on lactose‐protein interactions in protein solution containing different casein to whey protein ratios. International Journal of Food Science & Technology. 59(2). 1037–1050. 5 indexed citations
15.
Wills, R. B. H., et al.. (2022). Post-Harvest Operations to Generate High-Quality Medicinal Cannabis Products: A Systemic Review. Molecules. 27(5). 1719–1719. 22 indexed citations
16.
Cozzolino, Daniel, et al.. (2021). The production of volatile compounds in model casein systems with varying fat levels as affected by low‐frequency ultrasound. International Journal of Food Science & Technology. 56(8). 3948–3959. 4 indexed citations
17.
Zisu, Bogdan, et al.. (2020). Stability of oil–water primary emulsions stabilised with varying levels of casein and whey proteins affected by high‐intensity ultrasound. International Journal of Food Science & Technology. 56(2). 897–908. 12 indexed citations
18.
Chandrapala, Jayani, et al.. (2020). Changes in physicochemical and surface characteristics in milk protein powders during storage. Drying Technology. 40(3). 638–652. 4 indexed citations
19.
Chandrapala, Jayani. (2015). Low intensity ultrasound applications on food systems. International Food Research Journal. 22(3). 888–895. 20 indexed citations
20.
McKinnon, Ian & Jayani Chandrapala. (2006). Calcium binding in milk and cheese--interactions between aggregates.. Australian Journal of Dairy Technology. 61(2). 154–156. 2 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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