Shilpa Vij
- Food Science top 1%
- Probiotics and Fermented Foods 30
- Proteins in Food Systems 5
- Nutrition and Dietetics top 5%
- Microbial Metabolites in Food Biotechnology 8
- Infant Nutrition and Health 6
- Biotechnology top 5%
- Animal Science and Zoology top 5%
- Molecular Biology top 10%
- Protein Hydrolysis and Bioactive Peptides 25
- Microbial Metabolic Engineering and Bioproduction 6
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- Biofuel production and bioconversion 7
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- Phytoestrogen effects and research 5
Shilpa Vij
52 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Food Science 780
- Nutrition and Dietetics 313
- Biotechnology 155
- Animal Science and Zoology 157
- Molecular Biology 1.0k
Countries citing papers authored by Shilpa Vij
This map shows the geographic impact of Shilpa Vij'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 Shilpa Vij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shilpa Vij more than expected).
Fields of papers citing papers by Shilpa Vij
This network shows the impact of papers produced by Shilpa Vij. 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 Shilpa Vij. The network helps show where Shilpa Vij may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shilpa Vij, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 23 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 9 | |
| 11 | Comparative physiology of Kluyveromyces marxianus and Saccharomyces cerevisiae during batch cultivation on glucose as a sole carbon source. | 2017 | 1 |
| 12 | 2016 | 31 | |
| 13 | 2015 | 4 | |
| 14 | Functional significance of bioactive peptides derived from soybeanbreakdown → | 2014 | 410 |
| 15 | Antioxidative activity and polyphenol content in fermented soy milk supplemented with WPC-70 by probiotic Lactobacilli | 2013 | 39 |
| 16 | 2012 | 6 | |
| 17 | 2012 | 14 | |
| 18 | 2011 | 24 | |
| 19 | 2011 | 43 | |
| 20 | 2010 | 4 |
About Shilpa Vij
Shilpa Vij is a scholar working on Food Science, Nutrition and Dietetics, Biotechnology, Molecular Biology and Microbiology, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (30 papers), Protein Hydrolysis and Bioactive Peptides (25 papers), Microbial Metabolites in Food Biotechnology (8 papers), Biofuel production and bioconversion (7 papers), Infant Nutrition and Health (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Proteins in Food Systems (5 papers) and Phytoestrogen effects and research (5 papers). The work is most often cited by research in Food Science (780 citations), Nutrition and Dietetics (313 citations), Biotechnology (155 citations), Animal Science and Zoology (157 citations) and Molecular Biology (1.0k citations). Shilpa Vij has collaborated with scholars based in India, United States and Oman. Frequent co-authors include Brij Pal Singh, Subrota Hati, Priyanka Saini, Arun Beniwal, Anusha Kokkiligadda, R. K. Malik, Surajit Mandal, Gurpreet Kaur, Arun Bhardwaj and Suman Kapila. Their work appears in journals such as Journal of Food Biochemistry, LWT, Journal of Food Processing and Preservation, Process Biochemistry and Biocatalysis and Agricultural Biotechnology.
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.