Deepa Agarwal
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
- Food Science top 10%
- Proteins in Food Systems
- Polysaccharides Composition and Applications
Papers in
- Food Science 11
- Polysaccharides Composition and Applications 4
- Proteins in Food Systems 3
- Sensory Analysis and Statistical Methods 3
- Seed and Plant Biochemistry 2
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- Food composition and properties 5
- Co-authors
- Tim J. Foster (6 shared papers)Benjamin S. Schon (2 shared papers)J. J. Nijdam (2 shared papers)Jai Krishna Pandey (2 shared papers)Dr Lalit Kumar Chauhan (1 shared paper)William MacNaughtan (5 shared papers)Viswanathan Sundararaman (1 shared paper)Savita Gupta (1 shared paper)
- Journals
- Food & Function (7 papers)Journal of Food Engineering (3 papers)Carbohydrate Polymers (2 papers)Food Research International (1 paper)Foods (1 paper)
- Partner nations
- AustraliaNew ZealandUnited Kingdom
In The Last Decade
Deepa Agarwal
25 papers receiving 359 citations
Peers
Comparison fields: 5 of 91
- Automotive Engineering 71
- Food Science 88
- Biomaterials 56
- Nutrition and Dietetics 45
- Animal Science and Zoology 26
Countries citing papers authored by Deepa Agarwal
This map shows the geographic impact of Deepa Agarwal'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 Deepa Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Agarwal more than expected).
Fields of papers citing papers by Deepa Agarwal
This network shows the impact of papers produced by Deepa Agarwal. 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 Deepa Agarwal. The network helps show where Deepa Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepa Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 52 | |
| 2 | 2021 | 33 | |
| 3 | 2012 | 33 | |
| 4 | 2020 | 31 | |
| 5 | 2022 | 31 | |
| 6 | 2018 | 28 | |
| 7 | 2022 | 21 | |
| 8 | 2017 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 1993 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2024 | 10 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2025 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 1987 | 3 |
About Deepa Agarwal
Deepa Agarwal is a scholar working on Food Science, Nutrition and Dietetics, Animal Science and Zoology, Biomaterials and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 368 indexed citations. Recurring topics across this work include Food composition and properties (5 papers), Polysaccharides Composition and Applications (4 papers), Meat and Animal Product Quality (4 papers), Proteins in Food Systems (3 papers), Sensory Analysis and Statistical Methods (3 papers), Advanced Cellulose Research Studies (3 papers), Edible Oils Quality and Analysis (2 papers) and Seed and Plant Biochemistry (2 papers). The work is most often cited by research in Automotive Engineering (71 citations), Food Science (88 citations), Biomaterials (56 citations), Nutrition and Dietetics (45 citations) and Animal Science and Zoology (26 citations). Deepa Agarwal has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Tim J. Foster, Benjamin S. Schon, J. J. Nijdam, Jai Krishna Pandey, Dr Lalit Kumar Chauhan, William MacNaughtan, Viswanathan Sundararaman, Savita Gupta, Esther H.‐J. Kim and Marco P. Morgenstern. Their work appears in journals such as Food & Function, Journal of Food Engineering, Carbohydrate Polymers, Food Research International and Foods.
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.