Maya Davidovich‐Pinhas
Impact in
- Food Science top 0.2%
- Food Chemistry and Fat Analysis
- Proteins in Food Systems
- Polysaccharides Composition and Applications
- Pharmaceutical Science top 1%
- Advanced Drug Delivery Systems
Papers in
- Food Science 42
- Proteins in Food Systems 33
- Food Chemistry and Fat Analysis 28
- Polysaccharides Composition and Applications 12
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- Surfactants and Colloidal Systems 4
- Co-authors
- Shai Barbut (8 shared papers)Havazelet Bianco‐Peled (13 shared papers)Alejandro G. Marangoni (7 shared papers)Jasmine Rosen‐Kligvasser (8 shared papers)Andrew J. Gravelle (3 shared papers)A.G. Marangoni (1 shared paper)Avi Shpigelman (4 shared papers)Zoya Okun (3 shared papers)
In The Last Decade
Maya Davidovich‐Pinhas
60 papers receiving 2.8k citations
Maya Davidovich‐Pinhas's Hit Papers
Peers
Comparison fields: 5 of 114
- Food Science 1.7k
- Pharmaceutical Science 271
- Biomaterials 541
- Molecular Medicine 191
- Nutrition and Dietetics 457
Countries citing papers authored by Maya Davidovich‐Pinhas
This map shows the geographic impact of Maya Davidovich‐Pinhas'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 Maya Davidovich‐Pinhas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Davidovich‐Pinhas more than expected).
Fields of papers citing papers by Maya Davidovich‐Pinhas
This network shows the impact of papers produced by Maya Davidovich‐Pinhas. 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 Maya Davidovich‐Pinhas. The network helps show where Maya Davidovich‐Pinhas may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Davidovich‐Pinhas, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 167 | |
| 2 | 2009 | 161 | |
| 3 | 2014 | 158 | |
| 4 | 2017 | 143 | |
| 5 | 2016 | 138 | |
| 6 | 2015 | 138 | |
| 7 | 2014 | 120 | |
| 8 | 2019 | 107 | |
| 9 | Cultured meat platform developed through the structuring of edible microcarrier-derived microtissues with oleogel-based fat substitute Hit paper breakdown → | 2023 | 92 |
| 10 | 2020 | 92 | |
| 11 | 2015 | 91 | |
| 12 | 2014 | 86 | |
| 13 | 2009 | 75 | |
| 14 | 2020 | 70 | |
| 15 | 2019 | 70 | |
| 16 | 2010 | 69 | |
| 17 | 2019 | 61 | |
| 18 | 2020 | 60 | |
| 19 | 2016 | 59 | |
| 20 | 2010 | 59 |
About Maya Davidovich‐Pinhas
Maya Davidovich‐Pinhas is a scholar working on Food Science, Organic Chemistry, Molecular Medicine, Biomaterials and Pharmaceutical Science, having authored 63 papers that have together received 2.9k indexed citations. Recurring topics across this work include Proteins in Food Systems (33 papers), Food Chemistry and Fat Analysis (28 papers), Polysaccharides Composition and Applications (12 papers), Hydrogels: synthesis, properties, applications (10 papers), Advanced Drug Delivery Systems (7 papers), Surfactants and Colloidal Systems (4 papers), Meat and Animal Product Quality (4 papers) and biodegradable polymer synthesis and properties (4 papers). The work is most often cited by research in Food Science (1.7k citations), Pharmaceutical Science (271 citations), Biomaterials (541 citations), Molecular Medicine (191 citations) and Nutrition and Dietetics (457 citations). Maya Davidovich‐Pinhas has collaborated with scholars based in Israel, Canada and Portugal. Frequent co-authors include Shai Barbut, Havazelet Bianco‐Peled, Alejandro G. Marangoni, Jasmine Rosen‐Kligvasser, Andrew J. Gravelle, A.G. Marangoni, Avi Shpigelman, Zoya Okun, Uri Lesmes and Amanda J. Wright. Their work appears in journals such as Food Hydrocolloids, Carbohydrate Polymers, Food Structure, Innovative Food Science & Emerging Technologies and Food & Function.
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.