Graciela Leiva

18 total papers · 640 total citations
15 papers, 511 citations indexed

About

Graciela Leiva is a scholar working on Food Science, Clinical Biochemistry and Nutrition and Dietetics. According to data from OpenAlex, Graciela Leiva has authored 15 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Food Science, 4 papers in Clinical Biochemistry and 4 papers in Nutrition and Dietetics. Recurrent topics in Graciela Leiva's work include Microencapsulation and Drying Processes (6 papers), Advanced Glycation End Products research (4 papers) and Microbial Metabolites in Food Biotechnology (3 papers). Graciela Leiva is often cited by papers focused on Microencapsulation and Drying Processes (6 papers), Advanced Glycation End Products research (4 papers) and Microbial Metabolites in Food Biotechnology (3 papers). Graciela Leiva collaborates with scholars based in Argentina, Slovenia and Chile. Graciela Leiva's co-authors include Laura Malec, Gabriela Naranjo, Carolina Schebor, Daniela Salvatori, Nahuel Olaiz, Natalia Sosa, Guillermo Marshall, Felipe Maglietti, Nataša Šegatin and Javier Enrione and has published in prestigious journals such as Food Chemistry, Journal of Food Engineering and Journal of the Science of Food and Agriculture.

In The Last Decade

Graciela Leiva

15 papers receiving 494 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Graciela Leiva 313 142 123 75 69 15 511
Gonzalo Clemente 218 0.7× 160 1.1× 195 1.6× 122 1.6× 96 1.4× 20 586
Neslihan Göncüoğlu Taş 262 0.8× 128 0.9× 225 1.8× 79 1.1× 97 1.4× 17 592
Pawinee Deetae 254 0.8× 116 0.8× 115 0.9× 152 2.0× 23 0.3× 22 500
Laura Malec 362 1.2× 71 0.5× 113 0.9× 143 1.9× 179 2.6× 20 606
Laurianne Paravisini 267 0.9× 104 0.7× 123 1.0× 60 0.8× 22 0.3× 13 461
Léopold Tchiakpe 175 0.6× 89 0.6× 74 0.6× 191 2.5× 163 2.4× 9 559
Xuelian Yang 206 0.7× 64 0.5× 63 0.5× 166 2.2× 62 0.9× 19 523
Antonio Ramírez‐Jiménez 221 0.7× 71 0.5× 158 1.3× 51 0.7× 148 2.1× 8 452
Maria Barbara Różańska 216 0.7× 91 0.6× 139 1.1× 40 0.5× 30 0.4× 19 483
Janet Paterson 215 0.7× 68 0.5× 179 1.5× 110 1.5× 16 0.2× 15 575

Countries citing papers authored by Graciela Leiva

Since Specialization
Citations

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

Fields of papers citing papers by Graciela Leiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graciela Leiva. 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 Graciela Leiva. The network helps show where Graciela Leiva may publish in the future.

Co-authorship network of co-authors of Graciela Leiva

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

All Works

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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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