Irma Fernández

13 total papers · 735 total citations
11 papers, 563 citations indexed

About

Irma Fernández is a scholar working on Food Science, Plant Science and Pharmacology. According to data from OpenAlex, Irma Fernández has authored 11 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Food Science, 5 papers in Plant Science and 4 papers in Pharmacology. Recurrent topics in Irma Fernández's work include Essential Oils and Antimicrobial Activity (5 papers), Ethnobotanical and Medicinal Plants Studies (3 papers) and Piperaceae Chemical and Biological Studies (3 papers). Irma Fernández is often cited by papers focused on Essential Oils and Antimicrobial Activity (5 papers), Ethnobotanical and Medicinal Plants Studies (3 papers) and Piperaceae Chemical and Biological Studies (3 papers). Irma Fernández collaborates with scholars based in Peru, United States and France. Irma Fernández's co-authors include León Villegas, Abraham Vaisberg, Gerald B. Hammond, Beatriz Bustamante, Rosario Rojas, Olga Lock de Ugaz, Joaquina Albán Castillo, Holger Maldonado, Alfonso Zavaleta and Rosa J. Torres and has published in prestigious journals such as Journal of Ethnopharmacology, Journal of Natural Products and International braz j urol.

In The Last Decade

Irma Fernández

10 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Irma Fernández 328 244 157 130 92 11 563
M. A. M. Bandeira 307 0.9× 135 0.6× 214 1.4× 101 0.8× 69 0.8× 15 673
Isanete Geraldini Costa Bieski 421 1.3× 212 0.9× 130 0.8× 125 1.0× 84 0.9× 13 641
Mario Rodriguez-Canales 340 1.0× 317 1.3× 131 0.8× 77 0.6× 75 0.8× 18 604
Ila Shukla 237 0.7× 274 1.1× 123 0.8× 87 0.7× 74 0.8× 25 647
Cecilie Sogn Nergård 448 1.4× 196 0.8× 125 0.8× 45 0.3× 99 1.1× 11 633
C. K. Ashok Kumar 258 0.8× 150 0.6× 127 0.8× 169 1.3× 84 0.9× 22 601
Shahin Aghajanshakeri 250 0.8× 113 0.5× 282 1.8× 67 0.5× 72 0.8× 11 652
Gülnur Toker 300 0.9× 181 0.7× 258 1.6× 88 0.7× 105 1.1× 21 667
Niloofar Kahkeshani 212 0.6× 237 1.0× 150 1.0× 63 0.5× 84 0.9× 10 672
B. K. Manjunatha 251 0.8× 116 0.5× 151 1.0× 139 1.1× 83 0.9× 20 501

Countries citing papers authored by Irma Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Irma Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irma Fernández

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