Daniela A. Locatelli

14 total papers · 434 total citations
11 papers, 344 citations indexed

About

Daniela A. Locatelli is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Daniela A. Locatelli has authored 11 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 4 papers in Molecular Biology and 4 papers in Food Science. Recurrent topics in Daniela A. Locatelli's work include Garlic and Onion Studies (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Nephrotoxicity and Medicinal Plants (3 papers). Daniela A. Locatelli is often cited by papers focused on Garlic and Onion Studies (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Nephrotoxicity and Medicinal Plants (3 papers). Daniela A. Locatelli collaborates with scholars based in Argentina and Sweden. Daniela A. Locatelli's co-authors include Alejandra B. Camargo, Roxana E. González, Daniela Andrea Ramírez, Jorgelina C. Altamirano, Mónica A. Nazareno, Pablo F. Cavagnaro, Juan M. Luco, Walter Manucha, Ariel Fontana and Paula Bertón and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Electrophoresis.

In The Last Decade

Daniela A. Locatelli

11 papers receiving 336 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela A. Locatelli 254 104 80 50 47 11 344
Daniela Andrea Ramírez 237 0.9× 161 1.5× 73 0.9× 28 0.6× 66 1.4× 24 396
Joseph Lech 217 0.9× 109 1.0× 106 1.3× 29 0.6× 39 0.8× 11 340
May Chien Kuo 151 0.6× 103 1.0× 124 1.6× 15 0.3× 61 1.3× 10 341
Changyun Xiong 142 0.6× 128 1.2× 58 0.7× 23 0.5× 36 0.8× 17 364
Tung‐Hsi Yu 129 0.5× 92 0.9× 110 1.4× 21 0.4× 59 1.3× 17 323
Annegret Laub 121 0.5× 158 1.5× 71 0.9× 16 0.3× 44 0.9× 16 361
Katsuhiro Yamasaki 111 0.4× 71 0.7× 117 1.5× 31 0.6× 48 1.0× 17 354
Yara Severino de Queiroz 146 0.6× 78 0.8× 61 0.8× 9 0.2× 65 1.4× 8 310
Balázs Blazics 144 0.6× 135 1.3× 87 1.1× 15 0.3× 117 2.5× 17 342
Susanne Schmidt 191 0.8× 191 1.8× 64 0.8× 22 0.4× 137 2.9× 10 375

Countries citing papers authored by Daniela A. Locatelli

Since Specialization
Citations

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

Fields of papers citing papers by Daniela A. Locatelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela A. Locatelli. 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 Daniela A. Locatelli. The network helps show where Daniela A. Locatelli may publish in the future.

Co-authorship network of co-authors of Daniela A. Locatelli

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela A. Locatelli. A scholar is included among the top collaborators of Daniela A. Locatelli 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 Daniela A. Locatelli. Daniela A. Locatelli 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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