Maya Davidovich‐Pinhas
- Food Science top 0.2%
- Biomaterials top 2%
- Nutrition and Dietetics top 2%
- Organic Chemistry top 10%
- Biomedical Engineering top 10%
- Co-authors
- Shai BarbutHavazelet Bianco‐PeledAlejandro G. MarangoniJasmine Rosen‐KligvasserAndrew J. GravelleA.G. MarangoniAvi ShpigelmanZoya Okun
- Topics
- Proteins in Food Systems (32 papers)Food Chemistry and Fat Analysis (27 papers)Polysaccharides Composition and Applications (12 papers)
In The Last Decade
Maya Davidovich‐Pinhas
58 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Food Science 1.7k
- Biomaterials 531
- Nutrition and Dietetics 463
- Organic Chemistry 321
- Biomedical Engineering 306
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-authorship network of co-authors of Maya Davidovich‐Pinhas
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Davidovich‐Pinhas. A scholar is included among the top collaborators of Maya Davidovich‐Pinhas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maya Davidovich‐Pinhas. Maya Davidovich‐Pinhas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | Cultured meat platform developed through the structuring of edible microcarrier-derived microtissues with oleogel-based fat substitutebreakdown → | 77 |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 15 | |
| 13 | 53 | |
| 14 | 58 | |
| 15 | 55 | |
| 16 | 55 | |
| 17 | 87 | |
| 18 | 25 | |
| 19 | 38 | |
| 20 | 75 |
About Maya Davidovich‐Pinhas
Maya Davidovich‐Pinhas is a scholar working on Food Science, Molecular Medicine and Pharmaceutical Science, having authored 61 papers that have together received 2.8k indexed citations. Recurring topics across this work include Proteins in Food Systems (32 papers), Food Chemistry and Fat Analysis (27 papers) and Polysaccharides Composition and Applications (12 papers). The work is most often cited by research in Food Science (1.7k citations), Pharmaceutical Science (269 citations) and Biomaterials (531 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 Nature Communications, Macromolecules and Food Chemistry.
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.