Sonja Soskic

410 total citations
3 papers, 253 citations indexed

About

Sonja Soskic is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sonja Soskic has authored 3 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cognitive Neuroscience, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Sonja Soskic's work include Advanced Neuroimaging Techniques and Applications (2 papers), Functional Brain Connectivity Studies (1 paper) and Tactile and Sensory Interactions (1 paper). Sonja Soskic is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (2 papers), Functional Brain Connectivity Studies (1 paper) and Tactile and Sensory Interactions (1 paper). Sonja Soskic collaborates with scholars based in United Kingdom, Netherlands and Denmark. Sonja Soskic's co-authors include Roi Cohen Kadosh, Ryota Kanai, Teresa Iuculano, Vincent Walsh, César Caballero‐Gaudes, Daniel C. Alexander, Pedro M. Paz‐Alonso, Garikoitz Lerma‐Usabiaga, Koen Van Leemput and Ricardo Insausti and has published in prestigious journals such as NeuroImage, Current Biology and Imaging Neuroscience.

In The Last Decade

Sonja Soskic

3 papers receiving 241 citations

Peers

Sonja Soskic
H. Crewes United Kingdom
Amy Price United States
Yuliya Nigmatullina United Kingdom
Wayne E. Mackey United States
Krista Wild United States
Jesse Martin United Kingdom
H. Crewes United Kingdom
Sonja Soskic
Citations per year, relative to Sonja Soskic Sonja Soskic (= 1×) peers H. Crewes

Countries citing papers authored by Sonja Soskic

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Soskic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Soskic

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

All Works

3 of 3 papers shown
1.
Soskic, Sonja, et al.. (2024). Combining multimodal connectivity information improves modelling of pathology spread in Alzheimer’s disease. Imaging Neuroscience. 2. 1–19. 3 indexed citations
2.
Soskic, Sonja, Chiara Maffei, Koen Van Leemput, et al.. (2023). Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. NeuroImage. 274. 120129–120129. 10 indexed citations
3.
Kadosh, Roi Cohen, Sonja Soskic, Teresa Iuculano, Ryota Kanai, & Vincent Walsh. (2010). Modulating Neuronal Activity Produces Specific and Long-Lasting Changes in Numerical Competence. Current Biology. 20(22). 2016–2020. 240 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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