Amanda Worker

1.1k total citations · 1 hit paper
8 papers, 371 citations indexed

About

Amanda Worker is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Amanda Worker has authored 8 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Psychiatry and Mental health. Recurrent topics in Amanda Worker's work include Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Schizophrenia research and treatment (3 papers). Amanda Worker is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Schizophrenia research and treatment (3 papers). Amanda Worker collaborates with scholars based in United Kingdom, United States and Netherlands. Amanda Worker's co-authors include Steven Williams, Gareth J. Barker, Mitul A. Mehta, Andrew Simmons, Józef Jarosz, К. Ray Chaudhuri, P. Nigel Leigh, Richard G. Brown, Camilla Blain and Saige Rutherford and has published in prestigious journals such as PLoS ONE, Nature Protocols and Psychological Medicine.

In The Last Decade

Amanda Worker

8 papers receiving 365 citations

Hit Papers

The normative modeling framework for computational psychi... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amanda Worker United Kingdom 8 138 117 105 72 58 8 371
Niklaus Denier Switzerland 13 235 1.7× 117 1.0× 52 0.5× 60 0.8× 29 0.5× 31 452
Anca‐Larisa Sandu United Kingdom 13 202 1.5× 124 1.1× 31 0.3× 74 1.0× 28 0.5× 24 444
Zonglin Shen China 11 284 2.1× 162 1.4× 34 0.3× 70 1.0× 100 1.7× 34 479
Alexandra Roldán Spain 11 211 1.5× 79 0.7× 81 0.8× 353 4.9× 90 1.6× 24 652
Kenia M. Velasquez United States 11 204 1.5× 100 0.9× 31 0.3× 45 0.6× 61 1.1× 14 487
Céline Boudehent France 12 216 1.6× 53 0.5× 174 1.7× 62 0.9× 27 0.5× 31 472
Ying-Chiao Lee Taiwan 9 185 1.3× 96 0.8× 38 0.4× 119 1.7× 55 0.9× 14 382
Nerisa Banaj Italy 14 172 1.2× 47 0.4× 42 0.4× 177 2.5× 101 1.7× 31 474
Killian A. Welch United Kingdom 9 99 0.7× 49 0.4× 25 0.2× 104 1.4× 41 0.7× 11 318
Brendan Behan Canada 8 134 1.0× 89 0.8× 36 0.3× 46 0.6× 33 0.6× 17 303

Countries citing papers authored by Amanda Worker

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Worker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Worker

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

All Works

8 of 8 papers shown
1.
Berthet, Pierre, Beathe Haatveit, Rikka Kjelkenes, et al.. (2024). A 10-Year Longitudinal Study of Brain Cortical Thickness in People with First-Episode Psychosis Using Normative Models. Schizophrenia Bulletin. 51(1). 95–107. 15 indexed citations
2.
Worker, Amanda, Andrew J. Lawrence, Seyed Mostafa Kia, et al.. (2023). Extreme deviations from the normative model reveal cortical heterogeneity and associations with negative symptom severity in first-episode psychosis from the OPTiMiSE and GAP studies. Translational Psychiatry. 13(1). 373–373. 8 indexed citations
3.
Rutherford, Saige, Seyed Mostafa Kia, Thomas Wolfers, et al.. (2022). The normative modeling framework for computational psychiatry. Nature Protocols. 17(7). 1711–1734. 108 indexed citations breakdown →
4.
Worker, Amanda, Danai Dima, Anna Combes, et al.. (2018). Test–retest reliability and longitudinal analysis of automated hippocampal subregion volumes in healthy ageing andAlzheimer's disease populations. Human Brain Mapping. 39(4). 1743–1754. 39 indexed citations
5.
Lim, Lena, Heledd Hart, Mitul A. Mehta, et al.. (2017). Grey matter volume and thickness abnormalities in young people with a history of childhood abuse. Psychological Medicine. 48(6). 1034–1046. 58 indexed citations
6.
Fusté, Montserrat, Amanda Worker, Antje A. T. S. Reinders, et al.. (2017). Brain structure in women at risk of postpartum psychosis: an MRI study. Translational Psychiatry. 7(12). 1286–1286. 25 indexed citations
7.
Worker, Amanda, Camilla Blain, Józef Jarosz, et al.. (2014). Cortical Thickness, Surface Area and Volume Measures in Parkinson's Disease, Multiple System Atrophy and Progressive Supranuclear Palsy. PLoS ONE. 9(12). e114167–e114167. 44 indexed citations
8.
Worker, Amanda, Camilla Blain, Józef Jarosz, et al.. (2014). Diffusion Tensor Imaging of Parkinson’s Disease, Multiple System Atrophy and Progressive Supranuclear Palsy: A Tract-Based Spatial Statistics Study. PLoS ONE. 9(11). e112638–e112638. 74 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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