Antonia Álvarez

39 total papers · 1.0k total citations
34 papers, 793 citations indexed

About

Antonia Álvarez is a scholar working on Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Antonia Álvarez has authored 34 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pediatrics, Perinatology and Child Health, 13 papers in Endocrine and Autonomic Systems and 7 papers in Molecular Biology. Recurrent topics in Antonia Álvarez's work include Neonatal and fetal brain pathology (23 papers), Neuroscience of respiration and sleep (13 papers) and Cannabis and Cannabinoid Research (7 papers). Antonia Álvarez is often cited by papers focused on Neonatal and fetal brain pathology (23 papers), Neuroscience of respiration and sleep (13 papers) and Cannabis and Cannabinoid Research (7 papers). Antonia Álvarez collaborates with scholars based in Spain, United States and Italy. Antonia Álvarez's co-authors include Enrique Hilario, Olatz Arteaga, Daniel Alonso‐Alconada, Francisco J. Álvarez, Miren Revuelta, Felipe Goñi‐de‐Cerio, Victoria Mielgo, José Martínez‐Orgado, Francisco Santaolalla and Héctor Lafuente and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Antonia Álvarez

33 papers receiving 770 citations

Author Peers

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

Author Last Decade Papers Cites
Antonia Álvarez 368 181 181 179 139 34 793
Ataç Sönmez 165 0.4× 168 0.9× 90 0.5× 33 0.2× 59 0.4× 26 812
Zeng-Jin Yang 206 0.6× 277 1.5× 64 0.4× 81 0.5× 75 0.5× 23 828
Alexander L. Fedinec 306 0.8× 550 3.0× 330 1.8× 48 0.3× 53 0.4× 27 879
Janaína Kolling 194 0.5× 178 1.0× 55 0.3× 32 0.2× 63 0.5× 44 841
Jun Chen 152 0.4× 251 1.4× 31 0.2× 193 1.1× 56 0.4× 14 835
Dilyara Tcheranova 240 0.7× 519 2.9× 197 1.1× 42 0.2× 26 0.2× 15 788
Emmanuelle Nédélec 94 0.3× 184 1.0× 214 1.2× 220 1.2× 14 0.1× 25 815
Anjum Jafri 64 0.2× 136 0.8× 232 1.3× 183 1.0× 293 2.1× 28 685
Miren Revuelta 143 0.4× 177 1.0× 48 0.3× 22 0.1× 56 0.4× 25 669
Yanyang Tu 63 0.2× 229 1.3× 111 0.6× 43 0.2× 41 0.3× 29 632

Countries citing papers authored by Antonia Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Antonia Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonia Álvarez

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