Lavaraj Devkota

871 total citations
35 papers, 570 citations indexed

About

Lavaraj Devkota is a scholar working on Food Science, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Lavaraj Devkota has authored 35 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Food Science, 18 papers in Nutrition and Dietetics and 7 papers in Molecular Biology. Recurrent topics in Lavaraj Devkota's work include Food composition and properties (18 papers), Proteins in Food Systems (17 papers) and Botanical Research and Chemistry (6 papers). Lavaraj Devkota is often cited by papers focused on Food composition and properties (18 papers), Proteins in Food Systems (17 papers) and Botanical Research and Chemistry (6 papers). Lavaraj Devkota collaborates with scholars based in Australia, China and Thailand. Lavaraj Devkota's co-authors include Sushil Dhital, Loc Thai Nguyen, Benoı̂t Piro, Vũ Thị Thu, Bin Zhang, Robert Bergia, Konstantina Kyriakopoulou, Dang Truong Le, Dilini Perera and Ram Prasad Bhusal and has published in prestigious journals such as Food Chemistry, Carbohydrate Polymers and Electrochimica Acta.

In The Last Decade

Lavaraj Devkota

32 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lavaraj Devkota Australia 14 277 221 126 120 70 35 570
Marco Faieta Italy 14 290 1.0× 76 0.3× 80 0.6× 79 0.7× 73 1.0× 27 583
Céline Lafarge France 15 270 1.0× 115 0.5× 73 0.6× 99 0.8× 68 1.0× 25 499
Yangyue Ding China 16 382 1.4× 301 1.4× 93 0.7× 121 1.0× 77 1.1× 46 701
Vasfiye Hazal Özyurt Türkiye 11 216 0.8× 129 0.6× 116 0.9× 102 0.8× 53 0.8× 32 565
Libor Červenka Czechia 15 246 0.9× 82 0.4× 84 0.7× 100 0.8× 61 0.9× 54 541
Md Rahmatuzzaman Rana Bangladesh 13 229 0.8× 118 0.5× 58 0.5× 126 1.1× 38 0.5× 34 528
Filiz Tezcan Türkiye 12 169 0.6× 262 1.2× 89 0.7× 241 2.0× 58 0.8× 16 736
Rhett C. Kaufman United States 12 174 0.6× 312 1.4× 142 1.1× 196 1.6× 104 1.5× 15 723
Jianfeng Wu China 16 637 2.3× 141 0.6× 214 1.7× 94 0.8× 139 2.0× 33 930
Mustafa Mortaş Türkiye 16 355 1.3× 123 0.6× 191 1.5× 75 0.6× 72 1.0× 32 636

Countries citing papers authored by Lavaraj Devkota

Since Specialization
Citations

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

Fields of papers citing papers by Lavaraj Devkota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lavaraj Devkota

This figure shows the co-authorship network connecting the top 25 collaborators of Lavaraj Devkota. A scholar is included among the top collaborators of Lavaraj Devkota 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 Lavaraj Devkota. Lavaraj Devkota 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.
Perera, Dilini, Lavaraj Devkota, Smriti Shrestha, et al.. (2025). Hard-to-cook (HTC) phenomenon associated changes in protein and lipid profile of faba and adzuki beans. Food Hydrocolloids. 171. 111803–111803.
2.
Jia, Bin, Lavaraj Devkota, & Sushil Dhital. (2025). Protein structure and functional differentiation between high-amylose and wild-type wheat. Food Hydrocolloids. 163. 111075–111075. 2 indexed citations
3.
Devkota, Lavaraj, et al.. (2025). Legume protein composition influences texturization during high temperature protein-starch complexation. Food Hydrocolloids. 164. 111213–111213. 3 indexed citations
4.
Le, Dang Truong, Gary Williamson, Lavaraj Devkota, & Sushil Dhital. (2025). Leaching and proposed recovery strategies of (poly)phenols and oligosaccharides from hydration wastewater during legume processing. Trends in Food Science & Technology. 158. 104924–104924. 1 indexed citations
5.
Zhu, Minqian, et al.. (2025). Ultrasound-induced changes in the structure and functionality of starch and protein. Food Hydrocolloids. 172. 112111–112111.
6.
Perera, Dilini, Bin Jia, Lavaraj Devkota, et al.. (2024). High temperature and humidity storage alter starch properties of faba (Vicia faba) and adzuki beans (Vigna angularis) associated with hard-to-cook quality. Carbohydrate Polymers. 351. 123119–123119. 2 indexed citations
7.
Devkota, Lavaraj, et al.. (2024). The choice of probiotics affects the rheological, structural, and sensory attributes of lupin-oat-based yoghurt. Food Hydrocolloids. 156. 110353–110353. 19 indexed citations
8.
Perera, Dilini, et al.. (2024). Thermal energy generated during ultrasonication dominates pinto bean hydration. Journal of Food Engineering. 385. 112255–112255. 2 indexed citations
9.
Perera, Dilini, et al.. (2024). Crucial role of storage conditions on faba (Vicia faba) and adzuki beans (Vigna angularis) with an emphasis on the Hard-to-Cook phenomenon. Food Bioscience. 62. 105270–105270. 2 indexed citations
11.
Jia, Bin, Lavaraj Devkota, Mike Sissons, & Sushil Dhital. (2023). Degradation of starch in pasta induced by extrusion below gelatinization temperature. Food Chemistry. 426. 136524–136524. 19 indexed citations
12.
Devkota, Lavaraj, et al.. (2023). Techno‐functional and rheological characterisation of protein isolates from two Australian lupin species as affected by processing conditions. International Journal of Food Science & Technology. 59(2). 774–784. 8 indexed citations
13.
Perera, Dilini, et al.. (2023). Bioactive Nutrient Retention during Thermal-Assisted Hydration of Lupins. Foods. 12(4). 709–709. 6 indexed citations
14.
Devkota, Lavaraj, Konstantina Kyriakopoulou, Robert Bergia, & Sushil Dhital. (2023). Structural and Thermal Characterization of Protein Isolates from Australian Lupin Varieties as Affected by Processing Conditions. Foods. 12(5). 908–908. 36 indexed citations
15.
Le, Dang Truong, et al.. (2023). Innovations in legume processing: Ultrasound-based strategies for enhanced legume hydration and processing. Trends in Food Science & Technology. 139. 104122–104122. 26 indexed citations
16.
Younas, Tayyaba, Ram Prasad Bhusal, Lavaraj Devkota, et al.. (2023). The effect of probiotic strains on the proteolytic activity and peptide profiles of lupin oat-based yoghurt. Food Hydrocolloids. 149. 109570–109570. 17 indexed citations
17.
Devkota, Lavaraj, et al.. (2022). Effect of seed coat microstructure and lipid composition on the hydration behavior and kinetics of two red bean ( Phaseolus vulgaris L.) varieties. Journal of Food Science. 87(2). 528–542. 7 indexed citations
18.
Devkota, Lavaraj, et al.. (2022). Thermal and pulsed electric field (PEF) assisted hydration of common beans. LWT. 158. 113163–113163. 27 indexed citations
19.
Devkota, Lavaraj, et al.. (2022). Intact cells: “Nutritional capsules” in plant foods. Comprehensive Reviews in Food Science and Food Safety. 21(2). 1198–1217. 39 indexed citations
20.
Devkota, Lavaraj, et al.. (2020). Reducing added sodium and sugar intake from processed legumes without affecting quality. LWT. 140. 110729–110729. 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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