Cristina Green

9 total papers · 436 total citations
9 papers, 279 citations indexed

About

Cristina Green is a scholar working on Cognitive Neuroscience, Clinical Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cristina Green has authored 9 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 2 papers in Clinical Psychology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cristina Green's work include Neurobiology of Language and Bilingualism (5 papers), Reading and Literacy Development (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). Cristina Green is often cited by papers focused on Neurobiology of Language and Bilingualism (5 papers), Reading and Literacy Development (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). Cristina Green collaborates with scholars based in Spain, United Kingdom and United States. Cristina Green's co-authors include Marcelo L. Berthier, José Pablo Lara, Guadalupe Dávila, Miguel Ángel Barbancho, Friedemann Pulvermüller, Jesús Pujol, Matthew A. Lambon Ralph, S González–Barón, José María García‐Alberca and Seán Froudist‐Walsh and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Neurology and Neuropsychologia.

In The Last Decade

Cristina Green

9 papers receiving 273 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 Green 181 76 51 44 42 9 279
C. Bézy 220 1.2× 61 0.8× 90 1.8× 56 1.3× 36 0.9× 10 305
Priyanka Chaudhry 188 1.0× 31 0.4× 45 0.9× 70 1.6× 23 0.5× 10 270
Diego L. Lorca‐Puls 245 1.4× 35 0.5× 29 0.6× 38 0.9× 26 0.6× 16 292
Yessenia Gomez 267 1.5× 28 0.4× 35 0.7× 77 1.8× 68 1.6× 12 309
Andrea Gajardo‐Vidal 261 1.4× 41 0.5× 31 0.6× 37 0.8× 26 0.6× 19 309
Matthew A. Statton 181 1.0× 51 0.7× 49 1.0× 38 0.9× 61 1.5× 11 311
Sarah M. Schneck 219 1.2× 61 0.8× 23 0.5× 64 1.5× 19 0.5× 12 249
Amy Kane 151 0.8× 16 0.2× 31 0.6× 89 2.0× 16 0.4× 9 296
Alessandra Caporali 139 0.8× 33 0.4× 36 0.7× 58 1.3× 15 0.4× 11 288
Elizabeth E. Galletta 223 1.2× 71 0.9× 34 0.7× 21 0.5× 232 5.5× 15 330

Countries citing papers authored by Cristina Green

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Green

This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Green. A scholar is included among the top collaborators of Cristina Green 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 Green. Cristina Green 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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2026