Esperanza Herradón

27 total papers · 486 total citations
22 papers, 392 citations indexed

About

Esperanza Herradón is a scholar working on Pharmacology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Esperanza Herradón has authored 22 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 7 papers in Physiology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Esperanza Herradón's work include Cannabis and Cannabinoid Research (9 papers), Forensic Toxicology and Drug Analysis (5 papers) and Cancer Treatment and Pharmacology (4 papers). Esperanza Herradón is often cited by papers focused on Cannabis and Cannabinoid Research (9 papers), Forensic Toxicology and Drug Analysis (5 papers) and Cancer Treatment and Pharmacology (4 papers). Esperanza Herradón collaborates with scholars based in Spain, Australia and Poland. Esperanza Herradón's co-authors include Visitación López‐Miranda, Raquel Abalo, M. Martin, Gema Vera, Marı́a Isabel Martı́n, Cristina González, José Antonio Uranga, Antonio González, Juan C. Leza and María Luisa Soto‐Montenegro and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, British Journal of Pharmacology and European Journal of Pharmacology.

In The Last Decade

Esperanza Herradón

20 papers receiving 386 citations

Author Peers

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

Author Last Decade Papers Cites
Esperanza Herradón 191 93 82 70 61 22 392
Adi Drori 262 1.4× 107 1.2× 53 0.6× 90 1.3× 42 0.7× 13 442
C. Di Filippo 95 0.5× 74 0.8× 50 0.6× 105 1.5× 25 0.4× 14 406
Kazuyo Yamaji 197 1.0× 52 0.6× 38 0.5× 84 1.2× 51 0.8× 9 373
Kayte A. Jenkin 203 1.1× 71 0.8× 48 0.6× 128 1.8× 32 0.5× 20 411
Sarir Sarmad 178 0.9× 95 1.0× 102 1.2× 111 1.6× 27 0.4× 17 446
İnci Şahin-Erdemli 63 0.3× 120 1.3× 29 0.4× 115 1.6× 40 0.7× 31 419
Emanuela Talamonti 221 1.2× 73 0.8× 29 0.4× 103 1.5× 26 0.4× 13 434
Michał Pawlik 38 0.2× 88 0.9× 79 1.0× 71 1.0× 83 1.4× 21 440
P. Tso 63 0.3× 135 1.5× 35 0.4× 110 1.6× 97 1.6× 12 419
Alessandra Piccoli 102 0.5× 71 0.8× 23 0.3× 136 1.9× 13 0.2× 13 432

Countries citing papers authored by Esperanza Herradón

Since Specialization
Citations

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

Fields of papers citing papers by Esperanza Herradón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esperanza Herradón

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