V. Arun Prasath

29 total papers · 631 total citations
20 papers, 433 citations indexed

About

V. Arun Prasath is a scholar working on Food Science, Plant Science and Nutrition and Dietetics. According to data from OpenAlex, V. Arun Prasath has authored 20 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Food Science, 8 papers in Plant Science and 5 papers in Nutrition and Dietetics. Recurrent topics in V. Arun Prasath's work include Plasma Applications and Diagnostics (4 papers), Postharvest Quality and Shelf Life Management (4 papers) and Microbial Inactivation Methods (4 papers). V. Arun Prasath is often cited by papers focused on Plasma Applications and Diagnostics (4 papers), Postharvest Quality and Shelf Life Management (4 papers) and Microbial Inactivation Methods (4 papers). V. Arun Prasath collaborates with scholars based in India, Brazil and Thailand. V. Arun Prasath's co-authors include R. Pandiselvam, Anjineyulu Kothakota, Abhipriya Patra, Sushil Kumar Singh, Khalid Gul, Amin Mousavi Khaneghah, R. Kaavya, Parag Prakash Sutar, G. Jeevarathinam and Manoj Kumar and has published in prestigious journals such as Food Chemistry, Trends in Food Science & Technology and Molecules.

In The Last Decade

V. Arun Prasath

17 papers receiving 425 citations

Author Peers

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

Author Last Decade Papers Cites
V. Arun Prasath 149 112 101 97 57 20 433
Deepak Mehta 172 1.2× 123 1.1× 113 1.1× 140 1.4× 63 1.1× 15 482
Anika Singh 159 1.1× 97 0.9× 161 1.6× 158 1.6× 32 0.6× 10 489
Ranjitha Gracy T. Kalaivendan 239 1.6× 106 0.9× 77 0.8× 110 1.1× 131 2.3× 20 452
Montserrat González-Raurich 101 0.7× 72 0.6× 98 1.0× 97 1.0× 29 0.5× 18 388
Deise Helena Baggio Ribeiro 138 0.9× 172 1.5× 49 0.5× 47 0.5× 39 0.7× 22 470
Mahipal Singh Tomar 115 0.8× 82 0.7× 44 0.4× 60 0.6× 35 0.6× 18 436
Priyanka Prasad 138 0.9× 104 0.9× 43 0.4× 48 0.5× 50 0.9× 30 377
Sobiya Manzoor 189 1.3× 79 0.7× 54 0.5× 22 0.2× 69 1.2× 24 448
Cristina Andrés‐Iglesias 224 1.5× 93 0.8× 34 0.3× 72 0.7× 60 1.1× 23 419
William J. Colonna 70 0.5× 85 0.8× 133 1.3× 164 1.7× 39 0.7× 16 485

Countries citing papers authored by V. Arun Prasath

Since Specialization
Citations

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

Fields of papers citing papers by V. Arun Prasath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Arun Prasath. 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 V. Arun Prasath. The network helps show where V. Arun Prasath may publish in the future.

Co-authorship network of co-authors of V. Arun Prasath

This figure shows the co-authorship network connecting the top 25 collaborators of V. Arun Prasath. A scholar is included among the top collaborators of V. Arun Prasath 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 V. Arun Prasath. V. Arun Prasath 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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