Karina Tatu

642 total citations
11 papers, 421 citations indexed

About

Karina Tatu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Karina Tatu has authored 11 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Karina Tatu's work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Karina Tatu is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Karina Tatu collaborates with scholars based in Italy, United Kingdom and United States. Karina Tatu's co-authors include Tommaso Costa, Franco Cauda, Sergio Duca, Andrea Nani, Alessia Celeghin, Marco Tamietto, Peter T. Fox, Jordi Manuello, Matteo Diano and Sara Palermo and has published in prestigious journals such as NeuroImage, Brain and Scientific Reports.

In The Last Decade

Karina Tatu

11 papers receiving 418 citations

Peers

Karina Tatu

CN

RNMI

ECP

PMH

SP

Donato Liloia Italy

Viola Oertel Germany

Zetian Yang China

Lena Oestreich Australia

Nicholas A. Hubbard United States

Lachlan T. Strike Australia

Lena S. Geiger Germany

Haiyang Geng China

Ganesh B. Chand United States

Kristina C. Skåtun Norway

Donato Liloia Italy

Karina Tatu

453 ×1.4

CN

167 ×1.1

RNMI

103 ×1.1

ECP

114 ×1.5

PMH

35 ×0.7

SP

Citations per year, relative to Karina Tatu Karina Tatu (= 1×) peers Donato Liloia

Countries citing papers authored by Karina Tatu

Since Specialization

Citations

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

Fields of papers citing papers by Karina Tatu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karina Tatu

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

All Works

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11 of 11 papers shown

1.

Cauda, Franco, Andrea Nani, Tommaso Costa, et al.. (2018). The morphometric co‐atrophy networking of schizophrenia, autistic and obsessive spectrum disorders. Human Brain Mapping. 39(5). 1898–1928. 38 indexed citations

2.

Manuello, Jordi, Andrea Nani, Enrico Premi, et al.. (2018). The Pathoconnectivity Profile of Alzheimer’s Disease: A Morphometric Coalteration Network Analysis. Frontiers in Neurology. 8. 739–739. 30 indexed citations

3.

Cauda, Franco, Andrea Nani, Jordi Manuello, et al.. (2018). The alteration landscape of the cerebral cortex. NeuroImage. 184. 359–371. 15 indexed citations

4.

Cauda, Franco, Andrea Nani, Jordi Manuello, et al.. (2018). Brain structural alterations are distributed following functional, anatomic and genetic connectivity. Brain. 141(11). 3211–3232. 47 indexed citations

5.

Tatu, Karina, Tommaso Costa, Andrea Nani, et al.. (2017). How do morphological alterations caused by chronic pain distribute across the brain? A meta-analytic co-alteration study. NeuroImage Clinical. 18. 15–30. 39 indexed citations

6.

Diano, Matteo, Marco Tamietto, Alessia Celeghin, et al.. (2017). Dynamic Changes in Amygdala Psychophysiological Connectivity Reveal Distinct Neural Networks for Facial Expressions of Basic Emotions. Scientific Reports. 7(1). 45260–45260. 84 indexed citations

7.

Tatu, Karina, Claudia Pignolo, Franco Cauda, et al.. (2017). White matter and schizophrenia: A meta-analysis of voxel-based morphometry and diffusion tensor imaging studies. Psychiatry Research Neuroimaging. 270. 8–21. 62 indexed citations

8.

Cauda, Franco, Tommaso Costa, Andrea Nani, et al.. (2017). Are schizophrenia, autistic, and obsessive spectrum disorders dissociable on the basis of neuroimaging morphological findings?: A voxel‐based meta‐analysis. Autism Research. 10(6). 1079–1095. 29 indexed citations

9.

Marini, Andrea, Valentina Galetto, Karina Tatu, et al.. (2016). Recovering two languages with the right hemisphere. Brain and Language. 159. 35–44. 9 indexed citations

10.

Costa, Tommaso, Franco Cauda, Karina Tatu, et al.. (2013). Temporal and spatial neural dynamics in the perception of basic emotions from complex scenes. Social Cognitive and Affective Neuroscience. 9(11). 1690–1703. 66 indexed citations

11.

Tatu, Karina, et al.. (2006). Visuo-spatial pseudohemineglect in professional sportsmen. Cognitive Processing. 7(S1). 124–124. 2 indexed citations

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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