Andrea Moreno

16 papers receiving 266 citations

Peers

Andrea Moreno
Comparison fields: 5 of 67
  • Cognitive Neuroscience 160
  • Cellular and Molecular Neuroscience 106
  • Radiology, Nuclear Medicine and Imaging 56
  • Statistical and Nonlinear Physics 25
  • Molecular Biology 20
Replace Luis Carlos García del Molino with:
Luis Carlos García del Molino United Kingdom
Aaron T. Winder United States
Brandon Munn Australia
Aditya Gilra United Kingdom
Pallavi Rane United States
Rosa Cao United States
Lindsey M. Brier United States
Russell W. Chan Hong Kong
Itta Nakamura Japan
Raúl Rodríguez‐Cruces Canada
Andrea Moreno relative to Luis Carlos García del Molino United Kingdom Luis Carlos García del Molino's profile →
Citations per field
00.5×3.5×
Luis Carlos García del Molino · 1×
Citations per year

Countries citing papers authored by Andrea Moreno

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Moreno

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Moreno. A scholar is included among the top collaborators of Andrea Moreno 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 Andrea Moreno. Andrea Moreno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 2
5 4
6 15
7 10
8 12
9 3
10
Finding influential nodes for integration in brain networks using optimal percolation theory
61
11 19
12 10
13 17
14 30
15 20
16 44
17 20

About Andrea Moreno

Andrea Moreno is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 17 papers that have together received 269 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (8 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Cognitive Neuroscience (160 citations), Cellular and Molecular Neuroscience (106 citations) and Radiological and Ultrasound Technology (14 citations). Andrea Moreno has collaborated with scholars based in Spain, Denmark and Argentina. Frequent co-authors include Santiago Canals, Richard Morris, Vicente Pallarés‐Carratalá, Efrén Álvarez-Salvado, Úrsula Pérez‐Ramírez, Gino Del Ferraro, Byungjoon Min, Hernán A. Makse, Lucas C. Parra and Andrei I. Holodny. Their work appears in journals such as Journal of Neuroscience, Current Biology and Philosophical Transactions of the Royal Society B Biological Sciences.

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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