Deepa Agarwal
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
-
- Advanced Cellulose Research Studies
Papers in
- Food Science 11
- Polysaccharides Composition and Applications 4
- Proteins in Food Systems 3
- Sensory Analysis and Statistical Methods 3
-
- Food composition and properties 5
- Co-authors
- Tim Foster (6 shared papers)Benjamin S. Schon (2 shared papers)J. J. Nijdam (2 shared papers)Jai Krishna Pandey (2 shared papers)William MacNaughtan (5 shared papers)V. Sundararaman (1 shared paper)Lalit Kumar Singh Chauhan (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)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- New ZealandUnited KingdomAustralia
In The Last Decade
Deepa Agarwal
21 papers receiving 316 citations
Peers
Comparison fields: 5 of 89
- Automotive Engineering 67
- Biomaterials 55
- Food Science 73
- Health, Toxicology and Mutagenesis 37
- Nutrition and Dietetics 39
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 50 | |
| 2 | 2012 | 31 | |
| 3 | 2020 | 29 | |
| 4 | 2018 | 28 | |
| 5 | 2021 | 27 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 19 | |
| 8 | 2017 | 17 | |
| 9 | 2018 | 17 | |
| 10 | 2017 | 14 | |
| 11 | 2021 | 14 | |
| 12 | 1993 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2024 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 1987 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 1992 | 2 | |
| 20 | 2025 | 1 |
About Deepa Agarwal
Deepa Agarwal is a scholar working on Food Science, Nutrition and Dietetics, Animal Science and Zoology, Plant Science and Biomedical Engineering, having authored 27 papers that have together received 324 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), Pesticide Exposure and Toxicity (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Automotive Engineering (67 citations), Biomaterials (55 citations), Food Science (73 citations), Health, Toxicology and Mutagenesis (37 citations) and Nutrition and Dietetics (39 citations). Deepa Agarwal has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Tim Foster, Benjamin S. Schon, J. J. Nijdam, Jai Krishna Pandey, William MacNaughtan, V. Sundararaman, Lalit Kumar Singh Chauhan, Savita Gupta, Louise Hewson and Esther H.‐J. Kim. Their work appears in journals such as Food & Function, Journal of Food Engineering, Carbohydrate Polymers, Food Research International and International Journal of Biological Macromolecules.
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.