Paula Trujillo

52 total papers · 1.5k total citations
31 papers, 795 citations indexed

About

Paula Trujillo is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Paula Trujillo has authored 31 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 14 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Paula Trujillo's work include Parkinson's Disease Mechanisms and Treatments (18 papers), Neurological disorders and treatments (14 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Paula Trujillo is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (18 papers), Neurological disorders and treatments (14 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Paula Trujillo collaborates with scholars based in United States, Italy and Germany. Paula Trujillo's co-authors include Daniel O. Claassen, Manus J. Donahue, Kalen J. Petersen, Paul Summers, Antonella Costa, Hakmook Kang, Luca Mainardi, Luigi Zecca, Ya‐Chen Lin and Giorgio Marotta and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Brain.

In The Last Decade

Paula Trujillo

29 papers receiving 793 citations

Author Peers

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

Author Last Decade Papers Cites
Paula Trujillo 461 321 254 147 96 31 795
Elisabeth Solana 231 0.5× 156 0.5× 205 0.8× 140 1.0× 98 1.0× 44 861
Eduardo Joaquim Lopes Alho 545 1.2× 399 1.2× 130 0.5× 231 1.6× 112 1.2× 43 1.0k
Joern Kaufmann 489 1.1× 191 0.6× 200 0.8× 196 1.3× 93 1.0× 27 894
Carmelina Chiriaco 509 1.1× 193 0.6× 178 0.7× 220 1.5× 142 1.5× 33 924
G. Galardi 410 0.9× 232 0.7× 95 0.4× 172 1.2× 77 0.8× 30 972
Matthew J. Hogan 236 0.5× 147 0.5× 149 0.6× 79 0.5× 64 0.7× 23 806
Laura E. Danielian 517 1.1× 113 0.4× 234 0.9× 64 0.4× 133 1.4× 17 785
Richard B. Scott 541 1.2× 291 0.9× 60 0.2× 157 1.1× 171 1.8× 28 1.0k
Patrick Hickey 511 1.1× 219 0.7× 124 0.5× 146 1.0× 205 2.1× 34 778
Mun Kyung Sunwoo 687 1.5× 203 0.6× 141 0.6× 181 1.2× 121 1.3× 44 964

Countries citing papers authored by Paula Trujillo

Since Specialization
Citations

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

Fields of papers citing papers by Paula Trujillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Trujillo

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