Stefan Kasapis

10.7k total citations · 1 hit paper
294 papers, 8.5k citations indexed

About

Stefan Kasapis is a scholar working on Food Science, Nutrition and Dietetics and Plant Science. According to data from OpenAlex, Stefan Kasapis has authored 294 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 243 papers in Food Science, 69 papers in Nutrition and Dietetics and 54 papers in Plant Science. Recurrent topics in Stefan Kasapis's work include Polysaccharides Composition and Applications (148 papers), Proteins in Food Systems (132 papers) and Microencapsulation and Drying Processes (115 papers). Stefan Kasapis is often cited by papers focused on Polysaccharides Composition and Applications (148 papers), Proteins in Food Systems (132 papers) and Microencapsulation and Drying Processes (115 papers). Stefan Kasapis collaborates with scholars based in Australia, Oman and Singapore. Stefan Kasapis's co-authors include Benu Adhikari, Shyam S. Sablani, Mohammad Shafiur Rahman, M. Joshi, Joe Panozzo, Peter Aldred, John R. Mitchell, Ian T. Norton, Анна Банникова and Lloyd Condict and has published in prestigious journals such as Langmuir, Chemical Communications and Journal of Agricultural and Food Chemistry.

In The Last Decade

Stefan Kasapis

289 papers receiving 8.3k citations

Hit Papers

Cassava starch: Chemical modification and its impact on f... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Kasapis Australia 50 5.9k 2.3k 1.7k 1.4k 846 294 8.5k
E.J. Vernon‐Carter Mexico 49 6.1k 1.0× 2.4k 1.0× 1.3k 0.8× 869 0.6× 557 0.7× 238 8.3k
Yacine Hémar New Zealand 49 4.9k 0.8× 1.9k 0.9× 1.1k 0.7× 900 0.6× 694 0.8× 208 8.0k
Zhengyu Jin China 45 3.8k 0.6× 3.1k 1.3× 1.2k 0.7× 894 0.6× 481 0.6× 227 6.9k
Song Miao Ireland 53 6.5k 1.1× 2.4k 1.1× 1.2k 0.7× 697 0.5× 914 1.1× 297 9.7k
Rosiane Lopes Cunha Brazil 61 7.7k 1.3× 2.0k 0.9× 1.2k 0.7× 1.2k 0.9× 1.4k 1.7× 262 10.4k
Hyeon Gyu Lee South Korea 46 2.8k 0.5× 2.1k 0.9× 1.4k 0.8× 1.0k 0.7× 423 0.5× 244 7.1k
Milena Corredig Canada 55 8.5k 1.4× 2.6k 1.2× 1.5k 0.9× 609 0.4× 1.1k 1.3× 348 11.1k
Qixin Zhong United States 58 6.9k 1.2× 1.1k 0.5× 1.2k 0.7× 1.5k 1.1× 532 0.6× 237 9.8k
Baodong Zheng China 52 5.0k 0.8× 4.1k 1.8× 1.8k 1.1× 675 0.5× 777 0.9× 274 8.9k
Asgar Farahnaky Iran 46 4.1k 0.7× 2.7k 1.2× 1.6k 1.0× 915 0.6× 751 0.9× 237 6.8k

Countries citing papers authored by Stefan Kasapis

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Kasapis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Kasapis

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Kasapis. A scholar is included among the top collaborators of Stefan Kasapis 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 Stefan Kasapis. Stefan Kasapis 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.
Rahman, Mohammed Mizanur, et al.. (2025). Strategies for Regulating the Release Kinetics of Bioactive Compounds from Biopolymeric Hydrogels. Gels. 11(12). 986–986.
2.
Condict, Lloyd, et al.. (2024). Exploring the impact of carbohydrate chain length on binding affinity with lectin-a protein from common edible mushroom (Agaricus bisporus). Food Hydrocolloids. 158. 110491–110491. 2 indexed citations
3.
Kasapis, Stefan, et al.. (2024). Molecular transport of vitamin B6 from whey protein and agarose composite gels using diffusion blending law modelling. Food Hydrocolloids. 160. 110815–110815. 1 indexed citations
4.
Farahnaky, Asgar, et al.. (2024). Multitechnique approaches for characterising phase behaviour in food biopolymer systems. International Journal of Food Science & Technology. 59(12). 9626–9645. 2 indexed citations
5.
Wang, Haoxin, Peng Wang, Stefan Kasapis, & Tuyen Truong. (2024). Optimising corn ( Zea mays ) cob powder as an effective sorbent for diverse gel matrices: exploring particle size and powder concentration effects. International Journal of Food Science & Technology. 59(9). 6628–6641. 3 indexed citations
6.
Kasapis, Stefan, et al.. (2023). Mechanical vs calorimetric glass transition temperature in the oxidation of linoleic acid from condensed κ-carrageenan/glucose syrup systems. Food Hydrocolloids. 139. 108555–108555. 4 indexed citations
7.
8.
Kasapis, Stefan, et al.. (2023). Fundamental advances in hydrogels for the development of the next generation of smart delivery systems as biopharmaceuticals. International Journal of Pharmaceutics. 633. 122634–122634. 17 indexed citations
9.
Condict, Lloyd, et al.. (2023). Interfacing β-casein – Phenolic compound interactions via molecular dynamics simulations with diffusion kinetics in delivery vehicles. Food Chemistry. 435. 137595–137595. 2 indexed citations
10.
Kasapis, Stefan, et al.. (2023). Diffusion kinetics of vitamin B6 from phase-separated gelatin and agarose gels using blending law modelling. Food Hydrocolloids. 139. 108519–108519. 10 indexed citations
11.
Condict, Lloyd, et al.. (2023). Molecular interactions between soybean glycinin (11S) and genistein using spectroscopic and in silico analyses. Food Hydrocolloids. 139. 108523–108523. 11 indexed citations
12.
Kasapis, Stefan, et al.. (2022). Modelling the mechanism and kinetics of ascorbic acid diffusion in genipin-crosslinked gelatin and chitosan networks at distinct pH. Food Bioscience. 46. 101579–101579. 15 indexed citations
14.
15.
Istivan, Taghrid, et al.. (2021). Manipulation of the Glass Transition Properties of a High-Solid System Made of Acrylic Acid-N,N′-Methylenebisacrylamide Copolymer Grafted on Hydroxypropyl Methyl Cellulose. International Journal of Molecular Sciences. 22(5). 2682–2682. 2 indexed citations
17.
Alghooneh, Ali, Seyed Mohammad Ali Razavi, & Stefan Kasapis. (2019). Classification of hydrocolloids based on small amplitude oscillatory shear, large amplitude oscillatory shear, and textural properties. Journal of Texture Studies. 50(6). 520–538. 31 indexed citations
18.
Банникова, Анна, et al.. (2017). Protein‐loaded sodium alginate and carboxymethyl cellulose beads for controlled release under simulated gastrointestinal conditions. International Journal of Food Science & Technology. 52(10). 2171–2179. 19 indexed citations
19.
Ashton, John, et al.. (2017). Molecular interactions of milk protein with phenolic components in oat‐based liquid formulations following UHT treatment and prolonged storage. Journal of the Science of Food and Agriculture. 98(5). 1794–1802. 13 indexed citations
20.
Kasapis, Stefan, et al.. (2005). Development of a Date Confectionery: Part 1. Relating Formulation to Instrumental Texture. International Journal of Food Properties. 8(3). 457–468. 14 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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