Mita Lad
Impact in
- Food Science top 1%
- Proteins in Food Systems
- Food Chemistry and Fat Analysis
- Microencapsulation and Drying Processes
- Polysaccharides Composition and Applications
- Nutrition and Dietetics top 5%
- Food composition and properties
Papers in
- Food Science 13
- Proteins in Food Systems 10
- Microencapsulation and Drying Processes 4
- Polysaccharides Composition and Applications 3
- Food Chemistry and Fat Analysis 3
- Sensory Analysis and Statistical Methods 2
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- Food composition and properties 2
- Co-authors
- Qing Guo (5 shared papers)Harjinder Singh (5 shared papers)Aiqian Ye (5 shared papers)Douglas G. Dalgleish (5 shared papers)David A. Gray (3 shared papers)Tim Foster (3 shared papers)Maria J. Ferrua (1 shared paper)Ana C. Pinheiro (1 shared paper)
- Journals
- Soft Matter (3 papers)Food & Function (2 papers)Food Biophysics (2 papers)Food Hydrocolloids (2 papers)Colloids and Surfaces B Biointerfaces (1 paper)
- Partner nations
- New ZealandUnited KingdomCanada
In The Last Decade
Mita Lad
17 papers receiving 807 citations
Peers
Comparison fields: 5 of 74
- Food Science 611
- Nutrition and Dietetics 271
- Gastroenterology 55
- Animal Science and Zoology 60
- Pharmaceutical Science 33
Countries citing papers authored by Mita Lad
This map shows the geographic impact of Mita Lad'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 Mita Lad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mita Lad more than expected).
Fields of papers citing papers by Mita Lad
This network shows the impact of papers produced by Mita Lad. 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 Mita Lad. The network helps show where Mita Lad may publish in the future.
Co-authors
The 25 scholars most cited alongside Mita Lad, 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 | 2014 | 144 | |
| 2 | 2014 | 93 | |
| 3 | 2014 | 86 | |
| 4 | 2013 | 81 | |
| 5 | 2013 | 80 | |
| 6 | 2012 | 74 | |
| 7 | 2010 | 64 | |
| 8 | 2015 | 59 | |
| 9 | 2014 | 37 | |
| 10 | 2012 | 28 | |
| 11 | 2014 | 20 | |
| 12 | 2009 | 17 | |
| 13 | 2008 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2018 | 2 |
About Mita Lad
Mita Lad is a scholar working on Food Science, Nutrition and Dietetics, Pharmaceutical Science, Cell Biology and Physiology, having authored 17 papers that have together received 816 indexed citations. Recurring topics across this work include Proteins in Food Systems (10 papers), Microencapsulation and Drying Processes (4 papers), Polysaccharides Composition and Applications (3 papers), Food Chemistry and Fat Analysis (3 papers), Drug Solubulity and Delivery Systems (2 papers), Gastrointestinal motility and disorders (2 papers), Sensory Analysis and Statistical Methods (2 papers) and Food composition and properties (2 papers). The work is most often cited by research in Food Science (611 citations), Nutrition and Dietetics (271 citations), Gastroenterology (55 citations), Animal Science and Zoology (60 citations) and Pharmaceutical Science (33 citations). Mita Lad has collaborated with scholars based in New Zealand, United Kingdom and Canada. Frequent co-authors include Qing Guo, Harjinder Singh, Aiqian Ye, Douglas G. Dalgleish, David A. Gray, Tim Foster, Maria J. Ferrua, Ana C. Pinheiro, Mike Boland and David Julian McClements. Their work appears in journals such as Soft Matter, Food & Function, Food Biophysics, Food Hydrocolloids and Colloids and Surfaces B Biointerfaces.
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.