Valentyn Maidannyk

739 total citations
28 papers, 587 citations indexed

About

Valentyn Maidannyk is a scholar working on Food Science, Materials Chemistry and Computational Mechanics. According to data from OpenAlex, Valentyn Maidannyk has authored 28 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Food Science, 4 papers in Materials Chemistry and 3 papers in Computational Mechanics. Recurrent topics in Valentyn Maidannyk's work include Microencapsulation and Drying Processes (27 papers), Proteins in Food Systems (18 papers) and Polysaccharides Composition and Applications (10 papers). Valentyn Maidannyk is often cited by papers focused on Microencapsulation and Drying Processes (27 papers), Proteins in Food Systems (18 papers) and Polysaccharides Composition and Applications (10 papers). Valentyn Maidannyk collaborates with scholars based in Ireland, Indonesia and Netherlands. Valentyn Maidannyk's co-authors include Song Miao, Yrjö H. Roos, Alan L. Kelly, Duanquan Lin, Noel A. McCarthy, Bambang Nurhadi, James A. O’Mahony, John J. Fitzpatrick, Kevin Cronin and Mark A.E. Auty and has published in prestigious journals such as Food Chemistry, Journal of Dairy Science and Food Hydrocolloids.

In The Last Decade

Valentyn Maidannyk

28 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valentyn Maidannyk Ireland 16 493 96 67 55 55 28 587
Christian Gerhards Germany 9 295 0.6× 105 1.1× 78 1.2× 37 0.7× 47 0.9× 22 479
Yoshio Hagura Japan 15 465 0.9× 170 1.8× 120 1.8× 57 1.0× 77 1.4× 72 842
Bing Cui China 13 267 0.5× 51 0.5× 98 1.5× 71 1.3× 39 0.7× 28 560
Nicolas Descamps France 12 255 0.5× 124 1.3× 66 1.0× 32 0.6× 103 1.9× 19 456
Catherine Loisel France 13 430 0.9× 203 2.1× 49 0.7× 41 0.7× 37 0.7× 25 537
Evangelina García‐Armenta Mexico 11 250 0.5× 89 0.9× 43 0.6× 45 0.8× 80 1.5× 26 474
Véronique Bosc France 14 281 0.6× 72 0.8× 68 1.0× 50 0.9× 36 0.7× 29 441
S. Parthasarathi India 12 356 0.7× 105 1.1× 44 0.7× 64 1.2× 33 0.6× 22 582
Tiago Carregari Polachini Brazil 15 313 0.6× 106 1.1× 36 0.5× 33 0.6× 27 0.5× 42 503
Carlos Alberto Gasparetto Brazil 10 355 0.7× 52 0.5× 27 0.4× 93 1.7× 60 1.1× 24 539

Countries citing papers authored by Valentyn Maidannyk

Since Specialization
Citations

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

Fields of papers citing papers by Valentyn Maidannyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentyn Maidannyk

This figure shows the co-authorship network connecting the top 25 collaborators of Valentyn Maidannyk. A scholar is included among the top collaborators of Valentyn Maidannyk 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 Valentyn Maidannyk. Valentyn Maidannyk 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.
Hailu, Yonas, Valentyn Maidannyk, Eoin G. Murphy, & Noel A. McCarthy. (2023). Improving the physical and wettability properties of skim milk powders through agglomeration and lecithination. Journal of Food Engineering. 357. 111597–111597. 9 indexed citations
2.
3.
Maidannyk, Valentyn, et al.. (2022). The Effect of High Protein Powder Structure on Hydration, Glass Transition, Water Sorption, and Thermomechanical Properties. Foods. 11(3). 292–292. 6 indexed citations
4.
Purwanti, Nanik, et al.. (2022). Effect of pasteurisation and foaming temperature on the physicochemical and foaming properties of nano-filtered mineral acid whey. International Dairy Journal. 133. 105419–105419. 1 indexed citations
5.
6.
Fitzpatrick, John J., et al.. (2022). Investigation of breakage behavior and its effects on spray-dried agglomerated whey protein-lactose powders: Effect of protein and lactose contents. Journal of Dairy Science. 105(11). 8750–8764. 4 indexed citations
7.
Fitzpatrick, John J., et al.. (2022). Breakage behaviour and functionality of spray-dried agglomerated model infant milk formula: Effect of proteins and carbohydrates content. Food Chemistry. 391. 133179–133179. 6 indexed citations
8.
Maidannyk, Valentyn, et al.. (2021). Rehydration properties of regular and agglomerated milk protein concentrate powders produced using nitrogen gas injection prior to spray drying. Journal of Food Engineering. 305. 110597–110597. 18 indexed citations
9.
10.
Maidannyk, Valentyn, et al.. (2020). Influence of nitrogen gas injection and agglomeration during spray drying on the physical and bulk handling properties of milk protein concentrate powders. Journal of Food Engineering. 293. 110399–110399. 19 indexed citations
11.
Fitzpatrick, John J., et al.. (2020). Breakage of infant milk formula through three different processing methods and its influence on powder properties. Journal of Food Engineering. 282. 109997–109997. 10 indexed citations
12.
Lin, Duanquan, Alan L. Kelly, Valentyn Maidannyk, & Song Miao. (2020). Effect of structuring emulsion gels by whey or soy protein isolate on the structure, mechanical properties, and in-vitro digestion of alginate-based emulsion gel beads. Food Hydrocolloids. 110. 106165–106165. 118 indexed citations
13.
Lin, Duanquan, Alan L. Kelly, Valentyn Maidannyk, & Song Miao. (2020). Effect of concentrations of alginate, soy protein isolate and sunflower oil on water loss, shrinkage, elastic and structural properties of alginate-based emulsion gel beads during gelation. Food Hydrocolloids. 108. 105998–105998. 80 indexed citations
14.
Maidannyk, Valentyn, et al.. (2020). Water sorption and hydration properties of high protein milk powders are influenced by enzymatic crosslinking and calcium chelation. Powder Technology. 364. 680–688. 17 indexed citations
15.
Fitzpatrick, John J., et al.. (2020). Particle size, powder properties and the breakage behaviour of infant milk formula. Journal of Food Engineering. 292. 110367–110367. 24 indexed citations
16.
Maidannyk, Valentyn, et al.. (2019). Measurement of effective diffusion coefficients in dairy powders by confocal microscopy and sorption kinetic profiles. Food Structure. 20. 100108–100108. 15 indexed citations
17.
Maidannyk, Valentyn, et al.. (2019). Water sorption and hydration in spray-dried milk protein powders: Selected physicochemical properties. Food Chemistry. 304. 125418–125418. 30 indexed citations
18.
Maidannyk, Valentyn, et al.. (2018). Effects of lipids on the water sorption, glass transition and structural strength of carbohydrate-protein systems. Food Research International. 116. 1212–1222. 19 indexed citations
19.
Maidannyk, Valentyn, Bambang Nurhadi, & Yrjö H. Roos. (2017). Structural strength analysis of amorphous trehalose-maltodextrin systems. Food Research International. 96. 121–131. 17 indexed citations
20.
Maidannyk, Valentyn & Yrjö H. Roos. (2017). Structural strength analysis of partially crystalline trehalose. LWT. 88. 9–17. 9 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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2026