P. Nisha
Impact in
- Biochemistry top 1%
- Phytochemicals and Antioxidant Activities
- Food Science top 1%
- Essential Oils and Antimicrobial Activity
- Botanical Research and Applications
- Polysaccharides Composition and Applications
Papers in
- Food Science 38
- Proteins in Food Systems 10
- Food Chemistry and Fat Analysis 8
- Essential Oils and Antimicrobial Activity 7
- Biochemistry 17
- Phytochemicals and Antioxidant Activities 17
- Co-authors
- P. Jayamurthy (15 shared papers)Rekha S. Singhal (11 shared papers)Aniruddha B. Pandit (10 shared papers)K. B. Arun (16 shared papers)S. Padma Ishwarya (7 shared papers)Janu Chandran (8 shared papers)R. Dhanya (7 shared papers)Manoj Raama Varma (8 shared papers)
In The Last Decade
P. Nisha
88 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 126
- Biochemistry 451
- Food Science 880
- Nutrition and Dietetics 422
- Pharmacology 165
- Complementary and alternative medicine 129
Countries citing papers authored by P. Nisha
This map shows the geographic impact of P. Nisha'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 P. Nisha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Nisha more than expected).
Fields of papers citing papers by P. Nisha
This network shows the impact of papers produced by P. Nisha. 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 P. Nisha. The network helps show where P. Nisha may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Nisha, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 138 | |
| 2 | 2021 | 130 | |
| 3 | 2009 | 102 | |
| 4 | 2015 | 81 | |
| 5 | 2012 | 78 | |
| 6 | 2011 | 75 | |
| 7 | 2014 | 70 | |
| 8 | 2010 | 69 | |
| 9 | 2003 | 68 | |
| 10 | 2013 | 67 | |
| 11 | 2017 | 62 | |
| 12 | 2016 | 57 | |
| 13 | 2014 | 52 | |
| 14 | 2016 | 51 | |
| 15 | 2008 | 50 | |
| 16 | 2021 | 48 | |
| 17 | 2012 | 44 | |
| 18 | 2017 | 43 | |
| 19 | 2005 | 39 | |
| 20 | 2015 | 38 |
About P. Nisha
P. Nisha is a scholar working on Food Science, Biochemistry, Plant Science, Nutrition and Dietetics and Complementary and alternative medicine, having authored 91 papers that have together received 2.4k indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (17 papers), Proteins in Food Systems (10 papers), Natural Antidiabetic Agents Studies (9 papers), Food Chemistry and Fat Analysis (8 papers), Food composition and properties (8 papers), Essential Oils and Antimicrobial Activity (7 papers), Magnetic and transport properties of perovskites and related materials (7 papers) and Advanced Condensed Matter Physics (6 papers). The work is most often cited by research in Biochemistry (451 citations), Food Science (880 citations), Nutrition and Dietetics (422 citations), Pharmacology (165 citations) and Complementary and alternative medicine (129 citations). P. Nisha has collaborated with scholars based in India, Australia and Cameroon. Frequent co-authors include P. Jayamurthy, Rekha S. Singhal, Aniruddha B. Pandit, K. B. Arun, S. Padma Ishwarya, Janu Chandran, R. Dhanya, Manoj Raama Varma, К. Г. Суреш and S. Savitha Pillai. Their work appears in journals such as Journal of Food Processing and Preservation, Journal of Food Science and Technology, Food Hydrocolloids, Critical Reviews in Food Science and Nutrition and Journal of Food Engineering.
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.