Harsharn Gill

3.6k total citations
73 papers, 2.7k citations indexed

About

Harsharn Gill is a scholar working on Molecular Biology, Nutrition and Dietetics and Food Science. According to data from OpenAlex, Harsharn Gill has authored 73 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Nutrition and Dietetics and 16 papers in Food Science. Recurrent topics in Harsharn Gill's work include Protein Hydrolysis and Bioactive Peptides (11 papers), Meat and Animal Product Quality (8 papers) and Proteins in Food Systems (6 papers). Harsharn Gill is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (11 papers), Meat and Animal Product Quality (8 papers) and Proteins in Food Systems (6 papers). Harsharn Gill collaborates with scholars based in Australia, New Zealand and Vietnam. Harsharn Gill's co-authors include Pramod K. Gopal, Pertti Marnila, Kay J. Rutherfurd, Jaya Prasad, Hannu T. Korhonen, Martin L. Cross, Benu Adhikari, Raju Adhikari, Yakindra Prasad Timilsena and Phil S. Casey and has published in prestigious journals such as PLoS ONE, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Harsharn Gill

73 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harsharn Gill Australia 27 764 761 600 402 347 73 2.7k
Michael Tilley United States 35 541 0.7× 843 1.1× 1.0k 1.7× 170 0.4× 943 2.7× 120 3.6k
Riaz Hussain Pakistan 33 445 0.6× 335 0.4× 218 0.4× 375 0.9× 571 1.6× 179 3.3k
L. E. Metzger United States 32 716 0.9× 1.8k 2.4× 765 1.3× 187 0.5× 138 0.4× 129 3.1k
Don Otter New Zealand 26 854 1.1× 734 1.0× 416 0.7× 120 0.3× 130 0.4× 62 2.0k
Eric Auclair France 24 599 0.8× 671 0.9× 214 0.4× 228 0.6× 313 0.9× 62 2.3k
Wilbert Sybesma Netherlands 33 1.4k 1.8× 1.3k 1.7× 743 1.2× 132 0.3× 362 1.0× 85 3.4k
Alberto Finamore Italy 24 911 1.2× 586 0.8× 415 0.7× 128 0.3× 200 0.6× 39 2.3k
Paolo Trevisi Italy 30 1.2k 1.5× 804 1.1× 396 0.7× 605 1.5× 189 0.5× 153 3.2k
Francisco Diez‐Gonzalez United States 36 999 1.3× 1.6k 2.1× 177 0.3× 133 0.3× 371 1.1× 111 3.7k
Irene R. Grant United Kingdom 41 1.3k 1.7× 798 1.0× 137 0.2× 762 1.9× 294 0.8× 115 4.3k

Countries citing papers authored by Harsharn Gill

Since Specialization
Citations

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

Fields of papers citing papers by Harsharn Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harsharn Gill

This figure shows the co-authorship network connecting the top 25 collaborators of Harsharn Gill. A scholar is included among the top collaborators of Harsharn Gill 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 Harsharn Gill. Harsharn Gill 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.
Gill, Harsharn, et al.. (2024). Bioaccumulation of silicon and enhancement of cannabis inflorescence yield from fertiliser supplementation with the biostimulants silicate and phosphite. New Zealand Journal of Crop and Horticultural Science. 53(4). 1261–1273. 2 indexed citations
2.
Gill, Harsharn, et al.. (2024). A biostimulant complex comprising molasses, Aloe vera extract, and fish-hydrolysate enhances yield, aroma, and functional food value of strawberry fruit. Advances in Horticultural Science. 38(1). 47–62. 6 indexed citations
3.
Gill, Harsharn, et al.. (2023). Enhancement of capsicum ( Capsicum annuum L.) functional food value through nutrient supplementation with a biostimulant complex comprising triacontanol, phosphate, and potassium. New Zealand Journal of Crop and Horticultural Science. 53(1). 202–213. 5 indexed citations
4.
Yang, Angela Wei Hong, et al.. (2023). Mechanisms of Nelumbinis folium targeting PPARγ for weight management: A molecular docking and molecular dynamics simulations study. Computers in Biology and Medicine. 166. 107495–107495. 3 indexed citations
5.
Farahnaky, Asgar, et al.. (2023). Food neophobia and its association with dietary choices and willingness to eat insects. Frontiers in Nutrition. 10. 1150789–1150789. 19 indexed citations
6.
Fadimu, Gbemisola J., Asgar Farahnaky, Harsharn Gill, & Tuyen Truong. (2022). Influence of ultrasonic pretreatment on structural properties and biological activities of lupin protein hydrolysate. International Journal of Food Science & Technology. 57(3). 1729–1738. 22 indexed citations
7.
Fadimu, Gbemisola J., Chee‐Yuen Gan, Olusegun Abayomi Olalere, et al.. (2022). Novel antihypertensive peptides from lupin protein hydrolysate: An in-silico identification and molecular docking studies. Food Chemistry. 407. 135082–135082. 20 indexed citations
8.
Newman, Lisa, et al.. (2021). The Influence of Food Waste Rearing Substrates on Black Soldier Fly Larvae Protein Composition: A Systematic Review. Insects. 12(7). 608–608. 70 indexed citations
9.
Yang, Angela Wei Hong, et al.. (2021). Chinese Herbal Medicine for Weight Management: A Systematic Review and Meta-Analyses of Randomised Controlled Trials. Journal of Obesity. 2021. 1–17. 6 indexed citations
10.
11.
Luo, Shiqi, George Binh Lenon, Harsharn Gill, et al.. (2020). Inhibitory effect of a weight-loss Chinese herbal formula RCM-107 on pancreatic α-amylase activity: Enzymatic and in silico approaches. PLoS ONE. 15(4). e0231815–e0231815. 13 indexed citations
12.
Shanks, Robert A., et al.. (2017). Slip-additive migration, surface morphology, and performance on injection moulded high-density polyethylene closures. Journal of Colloid and Interface Science. 505. 537–545. 40 indexed citations
13.
14.
Ponnampalam, Eric N., et al.. (2009). Nutritional manipulation of iron level in finisher pigs and fresh pork.. 40(2). 283–90. 2 indexed citations
15.
Gill, Harsharn, Kay J. Rutherfurd, Jaya Prasad, & Pramod K. Gopal. (2000). Enhancement of natural and acquired immunity byLactobacillus rhamnosus(HN001),Lactobacillus acidophilus(HN017) andBifidobacterium lactis(HN019). British Journal Of Nutrition. 83(2). 167–176. 288 indexed citations
16.
Korhonen, Hannu, Pertti Marnila, & Harsharn Gill. (2000). Bovine milk antibodies for health. British Journal Of Nutrition. 84(S1). 135–146. 125 indexed citations
17.
Gopal, Pramod K. & Harsharn Gill. (2000). Oligosaccharides and glycoconjugates in bovine milk and colostrum. British Journal Of Nutrition. 84(S1). 69–74. 230 indexed citations
18.
Rutherfurd, Kay J. & Harsharn Gill. (2000). Peptides affecting coagulation. British Journal Of Nutrition. 84(S1). 99–102. 50 indexed citations
19.
Nolan, J. V., et al.. (1995). Effects of weaning, supplementation and gender on acquired immunity to Haemonchus contortus in lambs. International Journal for Parasitology. 25(3). 381–387. 39 indexed citations
20.
Pal, Biplab, et al.. (1994). Effect of Sodic Irrigation Water on Nutrient and Oil Content of Palmarosa. Journal of the Indian Society of Soil Science. 42(2). 335–337. 1 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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