Natalia Toro-Funes

13 total papers · 722 total citations
12 papers, 542 citations indexed

About

Natalia Toro-Funes is a scholar working on Food Science, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Natalia Toro-Funes has authored 12 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 5 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Natalia Toro-Funes's work include Phytoestrogen effects and research (5 papers), Polyamine Metabolism and Applications (4 papers) and Proteins in Food Systems (3 papers). Natalia Toro-Funes is often cited by papers focused on Phytoestrogen effects and research (5 papers), Polyamine Metabolism and Applications (4 papers) and Proteins in Food Systems (3 papers). Natalia Toro-Funes collaborates with scholars based in Spain, United Kingdom and Germany. Natalia Toro-Funes's co-authors include M. Carmen Vidal‐Carou, M. Teresa Veciana‐Nogués, M. Luz Latorre‐Moratalla, J. Bosch-Fusté, Oriol Comas-Basté, María Izquierdo‐Pulido, Ana Rodriguez‐Mateos, Jeremy P. E. Spencer, Isabel Odriozola‐Serrano and Tania Cifuentes‐Gomez and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Archives of Biochemistry and Biophysics.

In The Last Decade

Natalia Toro-Funes

12 papers receiving 532 citations

Author Peers

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

Author Last Decade Papers Cites
Natalia Toro-Funes 271 194 85 81 66 12 542
Cynthia Chatterjee 239 0.9× 105 0.5× 92 1.1× 94 1.2× 26 0.4× 12 585
Chean‐Ping Wu 277 1.0× 72 0.4× 78 0.9× 44 0.5× 40 0.6× 18 535
Gregor Fiechter 300 1.1× 197 1.0× 45 0.5× 94 1.2× 30 0.5× 15 515
Jiao Song 237 0.9× 100 0.5× 32 0.4× 48 0.6× 39 0.6× 21 568
Nan Lv 182 0.7× 236 1.2× 36 0.4× 69 0.9× 42 0.6× 23 527
Léopold Tchiakpe 191 0.7× 175 0.9× 33 0.4× 74 0.9× 15 0.2× 9 559
Dong Ho Suh 191 0.7× 199 1.0× 26 0.3× 60 0.7× 27 0.4× 24 497
Pierre Stocker 117 0.4× 128 0.7× 99 1.2× 54 0.7× 19 0.3× 23 574
Muhammad Umair Ijaz 214 0.8× 116 0.6× 39 0.5× 43 0.5× 102 1.5× 16 501
Yiqiong Yuan 196 0.7× 125 0.6× 25 0.3× 98 1.2× 22 0.3× 12 501

Countries citing papers authored by Natalia Toro-Funes

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Toro-Funes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia Toro-Funes. 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 Natalia Toro-Funes. The network helps show where Natalia Toro-Funes may publish in the future.

Co-authorship network of co-authors of Natalia Toro-Funes

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026