Gurpreet Kaur Chandi

14 total papers · 561 total citations
12 papers, 431 citations indexed

About

Gurpreet Kaur Chandi is a scholar working on Nutrition and Dietetics, Plant Science and Food Science. According to data from OpenAlex, Gurpreet Kaur Chandi has authored 12 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nutrition and Dietetics, 6 papers in Plant Science and 5 papers in Food Science. Recurrent topics in Gurpreet Kaur Chandi's work include Food composition and properties (7 papers), GABA and Rice Research (3 papers) and Proteins in Food Systems (3 papers). Gurpreet Kaur Chandi is often cited by papers focused on Food composition and properties (7 papers), GABA and Rice Research (3 papers) and Proteins in Food Systems (3 papers). Gurpreet Kaur Chandi collaborates with scholars based in India, Canada and Singapore. Gurpreet Kaur Chandi's co-authors include Dalbir Singh Sogi, Koushik Seetharaman, Balmeet Singh Gill, John Manful, Joseph Gayin, Prabhjot Singh, Sumeet Pal Singh, Indu Parmar, Supreet Kaur and S. S. Gosal and has published in prestigious journals such as Journal of Food Engineering, International Journal of Food Science & Technology and Journal of Food Science and Technology.

In The Last Decade

Gurpreet Kaur Chandi

12 papers receiving 404 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gurpreet Kaur Chandi 238 179 160 99 56 12 431
Hayat Bourekoua 259 1.1× 276 1.5× 139 0.9× 48 0.5× 24 0.4× 16 482
A. C. Ogbonna 171 0.7× 169 0.9× 185 1.2× 99 1.0× 48 0.9× 21 486
Amal Ben Amira 194 0.8× 81 0.5× 172 1.1× 117 1.2× 57 1.0× 15 437
Vincenzo Galli 193 0.8× 249 1.4× 177 1.1× 39 0.4× 9 0.2× 12 451
Hongxiu Fan 182 0.8× 77 0.4× 154 1.0× 154 1.6× 27 0.5× 22 462
Joëlle Grua-Priol 230 1.0× 214 1.2× 79 0.5× 48 0.5× 14 0.3× 9 420
Steven A. Weier 213 0.9× 208 1.2× 95 0.6× 50 0.5× 61 1.1× 11 369
Jing Sun 185 0.8× 66 0.4× 241 1.5× 111 1.1× 22 0.4× 18 471
Luca Pretti 227 1.0× 43 0.2× 164 1.0× 117 1.2× 47 0.8× 21 424
Yuyang Ma 192 0.8× 96 0.5× 71 0.4× 150 1.5× 25 0.4× 16 414

Countries citing papers authored by Gurpreet Kaur Chandi

Since Specialization
Citations

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

Fields of papers citing papers by Gurpreet Kaur Chandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gurpreet Kaur Chandi. 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 Gurpreet Kaur Chandi. The network helps show where Gurpreet Kaur Chandi may publish in the future.

Co-authorship network of co-authors of Gurpreet Kaur Chandi

This figure shows the co-authorship network connecting the top 25 collaborators of Gurpreet Kaur Chandi. A scholar is included among the top collaborators of Gurpreet Kaur Chandi 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 Gurpreet Kaur Chandi. Gurpreet Kaur Chandi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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