María J. Guil

27 total papers · 605 total citations
17 papers, 383 citations indexed

About

María J. Guil is a scholar working on Physiology, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, María J. Guil has authored 17 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Behavioral Neuroscience and 3 papers in Molecular Biology. Recurrent topics in María J. Guil's work include Nitric Oxide and Endothelin Effects (6 papers), Stress Responses and Cortisol (4 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). María J. Guil is often cited by papers focused on Nitric Oxide and Endothelin Effects (6 papers), Stress Responses and Cortisol (4 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). María J. Guil collaborates with scholars based in Argentina, Spain and France. María J. Guil's co-authors include Manuel Monréal, Manuel Barrón, Reina Valle, Renzo Poggio, Patrick Mismetti, Francisco J. Muñoz, Ricardo Gómez‐Huelgas, Miguel Ángel Martínez‐González, R. Guijarro and Jon B. Toledo and has published in prestigious journals such as PLoS ONE, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

María J. Guil

16 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
María J. Guil 210 120 99 86 43 17 383
Sylvia Bort-Martí 30 0.1× 83 0.7× 49 0.5× 19 0.2× 60 1.4× 9 417
Giovanni Gallotta 82 0.4× 10 0.1× 88 0.9× 92 1.1× 56 1.3× 20 410
Natalie Hills 143 0.7× 24 0.2× 117 1.2× 71 0.8× 35 0.8× 11 386
Matteo Galli 155 0.7× 12 0.1× 93 0.9× 112 1.3× 25 0.6× 29 412
Ulrich K. Franzeck 124 0.6× 39 0.3× 143 1.4× 80 0.9× 20 0.5× 15 357
Milena A. Gebska 85 0.4× 17 0.1× 81 0.8× 117 1.4× 27 0.6× 28 395
C.‐H. Kao 40 0.2× 10 0.1× 107 1.1× 26 0.3× 51 1.2× 18 414
K Holden 11 0.1× 15 0.1× 63 0.6× 21 0.2× 71 1.7× 20 416
Peter K. Schädlich 28 0.1× 6 0.1× 75 0.8× 90 1.0× 15 0.3× 20 414
Marlieke Visser 9 0.0× 16 0.1× 81 0.8× 97 1.1× 67 1.6× 19 435

Countries citing papers authored by María J. Guil

Since Specialization
Citations

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

Fields of papers citing papers by María J. Guil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María J. Guil. 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 María J. Guil. The network helps show where María J. Guil may publish in the future.

Co-authorship network of co-authors of María J. Guil

This figure shows the co-authorship network connecting the top 25 collaborators of María J. Guil. A scholar is included among the top collaborators of María J. Guil 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 María J. Guil. María J. Guil 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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