Gabriel Davidov‐Pardo

3.6k citations
32 papers · 2.8k indexed · 1 hit paper · h-index 24

Gabriel Davidov‐Pardo

32 papers receiving 2.8k citations

Hit Papers

Fluorescence quenching study of resveratrol binding to ze...20152026201820222015100200300

Peers

Gabriel Davidov‐Pardo
Comparison fields: 5 of 127
  • Food Science 1.9k
  • Biochemistry 490
  • Molecular Biology 454
  • Plant Science 445
  • Nutrition and Dietetics 429
Replace Luz Sanguansri with:
Luz Sanguansri Australia
Meigui Huang China
Yanxiang Gao China
Fang Yuan China
Verica Đorđević Serbia
Wallace Yokoyama United States
Yuwen Ting Taiwan
Marta de Toledo Benassi Brazil
Simin Feng China
Yang Wei China
Gabriel Davidov‐Pardo relative to Luz Sanguansri Australia Luz Sanguansri's profile →
Citations per field
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Luz Sanguansri · 1×
Citations per year

Countries citing papers authored by Gabriel Davidov‐Pardo

Since Specialization
Citations

This map shows the geographic impact of Gabriel Davidov‐Pardo'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 Gabriel Davidov‐Pardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Davidov‐Pardo more than expected).

Fields of papers citing papers by Gabriel Davidov‐Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel Davidov‐Pardo. 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 Gabriel Davidov‐Pardo. The network helps show where Gabriel Davidov‐Pardo may publish in the future.

Co-authorship network of co-authors of Gabriel Davidov‐Pardo

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Davidov‐Pardo. A scholar is included among the top collaborators of Gabriel Davidov‐Pardo 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 Gabriel Davidov‐Pardo. Gabriel Davidov‐Pardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 28
2 5
3 14
4 70
5 41
6 37
7 124
8 59
9 16
10 109
11 63
12
Fluorescence quenching study of resveratrol binding to zein and gliadin: Towards a more rational approach to resveratrol encapsulation using water-insoluble proteinsbreakdown →
306
13 163
14 88
15
Encapsulation of resveratrol in biopolymeric nanoparticles stabilized by Maillard conjugation
1
16 60
17 160
18 190
19 225
20 50

About Gabriel Davidov‐Pardo

Gabriel Davidov‐Pardo is a scholar working on Food Science, Biochemistry and Nutrition and Dietetics, having authored 32 papers that have together received 2.8k indexed citations. Recurring topics across this work include Proteins in Food Systems (21 papers), Food Chemistry and Fat Analysis (14 papers) and Microencapsulation and Drying Processes (14 papers). The work is most often cited by research in Food Science (1.9k citations), Biochemistry (490 citations) and Geriatrics and Gerontology (134 citations). Gabriel Davidov‐Pardo has collaborated with scholars based in United States, Saudi Arabia and Spain. Frequent co-authors include David Julian McClements, Iris J. Joye, Remedios Marín Arroyo, Richard D. Ludescher, Íñigo Arozarena, Cansu Ekin Gümüş, Paloma Vírseda, Gloria Bobo, Cristina Arroqui and Montserrat Boronat-Navarro. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Trends in Food Science & Technology.

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.

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