Cristina Tejera‐Parrado

22 total papers · 3.5k total citations
5 papers, 47 citations indexed

About

Cristina Tejera‐Parrado is a scholar working on Neurology, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Cristina Tejera‐Parrado has authored 5 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Molecular Biology and 1 paper in Clinical Psychology. Recurrent topics in Cristina Tejera‐Parrado's work include Parkinson's Disease Mechanisms and Treatments (4 papers), RNA regulation and disease (2 papers) and Lipid metabolism and biosynthesis (1 paper). Cristina Tejera‐Parrado is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), RNA regulation and disease (2 papers) and Lipid metabolism and biosynthesis (1 paper). Cristina Tejera‐Parrado collaborates with scholars based in Spain. Cristina Tejera‐Parrado's co-authors include Francisco Romero, Miguel Á. Japón, Carmen Sáez, R.A. Medina López, Begoña Pérez‐Valderrama, Marı́a Tortolero, Pilar Gómez‐Garre, Silvia Jesús, Dolores Buiza‐Rueda and Pablo Mir and has published in prestigious journals such as PLoS ONE, Neurobiology of Aging and Neuroscience Letters.

In The Last Decade

Cristina Tejera‐Parrado

5 papers receiving 47 citations

Author Peers

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

Author Last Decade Papers Cites
Cristina Tejera‐Parrado 22 16 10 10 8 5 47
Akiko Kanzaki 17 0.8× 7 0.4× 13 1.3× 13 1.3× 2 0.3× 5 49
Yong Li 13 0.6× 15 0.9× 5 0.5× 7 0.7× 3 0.4× 6 36
Luisa Grazian 10 0.5× 16 1.0× 6 0.6× 7 0.7× 7 0.9× 5 70
Catherine Delbrouck 35 1.6× 21 1.3× 4 0.4× 8 0.8× 4 0.5× 5 58
Lyle W. Ostrow 19 0.9× 16 1.0× 9 0.9× 3 0.3× 7 0.9× 7 37
August Allocco 23 1.0× 10 0.6× 5 0.5× 3 0.3× 27 3.4× 6 72
Kazutoshi Uekawa 25 1.1× 15 0.9× 2 0.2× 23 2.3× 20 2.5× 5 57
Lara Absil 25 1.1× 14 0.9× 20 2.0× 5 0.5× 1 0.1× 5 70
Graeme Elliott 29 1.3× 4 0.3× 9 0.9× 8 0.8× 3 0.4× 4 56
Kenta Nishiyama 14 0.6× 14 0.9× 2 0.2× 18 1.8× 3 0.4× 7 55

Countries citing papers authored by Cristina Tejera‐Parrado

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Tejera‐Parrado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cristina Tejera‐Parrado. 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 Cristina Tejera‐Parrado. The network helps show where Cristina Tejera‐Parrado may publish in the future.

Co-authorship network of co-authors of Cristina Tejera‐Parrado

This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Tejera‐Parrado. A scholar is included among the top collaborators of Cristina Tejera‐Parrado 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 Cristina Tejera‐Parrado. Cristina Tejera‐Parrado 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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