Patricia Marchio

34 total papers · 1.2k total citations
20 papers, 819 citations indexed

About

Patricia Marchio is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Patricia Marchio has authored 20 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Patricia Marchio's work include Traumatic Brain Injury Research (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Estrogen and related hormone effects (2 papers). Patricia Marchio is often cited by papers focused on Traumatic Brain Injury Research (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Estrogen and related hormone effects (2 papers). Patricia Marchio collaborates with scholars based in Spain and Argentina. Patricia Marchio's co-authors include Sol Guerra‐Ojeda, Martı́n Aldasoro, María Dolores Mauricio, José María Vila, Víctor M. Víctor, Soraya L. Vallés, Elena Obrador, Milagros Rocha, Irene Escribano‐López and José Raúl Herance and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Free Radical Biology and Medicine.

In The Last Decade

Patricia Marchio

19 papers receiving 802 citations

Hit Papers

Targeting Early Atheroscl... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Patricia Marchio 243 169 103 99 97 20 819
Sol Guerra‐Ojeda 252 1.0× 165 1.0× 142 1.4× 122 1.2× 109 1.1× 21 954
Basim Anwar Shehata Messiha 250 1.0× 85 0.5× 99 1.0× 101 1.0× 78 0.8× 50 940
Beidong Chen 340 1.4× 152 0.9× 84 0.8× 166 1.7× 93 1.0× 36 927
Álvaro Becerra 397 1.6× 96 0.6× 128 1.2× 64 0.6× 61 0.6× 26 883
Dong-Keon Lee 407 1.7× 174 1.0× 69 0.7× 63 0.6× 53 0.5× 20 812
Chak Kwong Cheng 387 1.6× 161 1.0× 202 2.0× 172 1.7× 136 1.4× 35 976
Shasha Zhu 471 1.9× 199 1.2× 78 0.8× 82 0.8× 65 0.7× 40 992
Anna Ciampa 203 0.8× 104 0.6× 79 0.8× 49 0.5× 121 1.2× 13 926
Marie-Claire Toufektsian 201 0.8× 111 0.7× 72 0.7× 187 1.9× 76 0.8× 20 709
Beata Skibska 270 1.1× 140 0.8× 186 1.8× 74 0.7× 68 0.7× 24 1.0k

Countries citing papers authored by Patricia Marchio

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Marchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Marchio

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