Daíse Lopes-Lutz

16 total papers · 1.2k total citations
14 papers, 934 citations indexed

About

Daíse Lopes-Lutz is a scholar working on Biochemistry, Food Science and Plant Science. According to data from OpenAlex, Daíse Lopes-Lutz has authored 14 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biochemistry, 5 papers in Food Science and 5 papers in Plant Science. Recurrent topics in Daíse Lopes-Lutz's work include Phytochemicals and Antioxidant Activities (5 papers), Essential Oils and Antimicrobial Activity (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). Daíse Lopes-Lutz is often cited by papers focused on Phytochemicals and Antioxidant Activities (5 papers), Essential Oils and Antimicrobial Activity (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). Daíse Lopes-Lutz collaborates with scholars based in Canada, Germany and Brazil. Daíse Lopes-Lutz's co-authors include Paul Kolodziejczyk, Celuta Sales Alviano, Daniela Sales Alviano, Andreas Schieber, Chamila Nimalaratne, Jian Wu, Paula N. Brown, Elizabeth Mudge, Dennis M. Reinecke and Alena Jin and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Molecules.

In The Last Decade

Daíse Lopes-Lutz

14 papers receiving 893 citations

Hit Papers

Screening of chemical com... 2008 2026 2014 2020 2008 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Daíse Lopes-Lutz 472 434 263 211 104 14 934
Imed Chraief 516 1.1× 462 1.1× 145 0.6× 126 0.6× 74 0.7× 23 815
K. UMANO 497 1.1× 337 0.8× 174 0.7× 215 1.0× 61 0.6× 8 891
Khaled F. El‐Massry 426 0.9× 396 0.9× 181 0.7× 207 1.0× 49 0.5× 32 805
María C. Rota 616 1.3× 487 1.1× 177 0.7× 201 1.0× 66 0.6× 8 896
Paul Kolodziejczyk 637 1.3× 443 1.0× 188 0.7× 308 1.5× 28 0.3× 19 1.0k
Siegfried Nitz 572 1.2× 470 1.1× 276 1.0× 208 1.0× 43 0.4× 38 1.1k
Lucia Battinelli 455 1.0× 419 1.0× 408 1.6× 167 0.8× 36 0.3× 21 1.1k
Sakthivel Ravi 531 1.1× 311 0.7× 347 1.3× 87 0.4× 38 0.4× 11 1.2k
Kyung Mi Yoo 421 0.9× 357 0.8× 260 1.0× 511 2.4× 59 0.6× 13 1.0k
Hubert Kollmannsberger 656 1.4× 493 1.1× 262 1.0× 210 1.0× 56 0.5× 43 1.1k

Countries citing papers authored by Daíse Lopes-Lutz

Since Specialization
Citations

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

Fields of papers citing papers by Daíse Lopes-Lutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daíse Lopes-Lutz. 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 Daíse Lopes-Lutz. The network helps show where Daíse Lopes-Lutz may publish in the future.

Co-authorship network of co-authors of Daíse Lopes-Lutz

This figure shows the co-authorship network connecting the top 25 collaborators of Daíse Lopes-Lutz. A scholar is included among the top collaborators of Daíse Lopes-Lutz 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 Daíse Lopes-Lutz. Daíse Lopes-Lutz 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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