Fiona McNab

2.8k total citations · 1 hit paper
19 papers, 2.0k citations indexed

About

Fiona McNab is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Fiona McNab has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 3 papers in Psychiatry and Mental health. Recurrent topics in Fiona McNab's work include Neural and Behavioral Psychology Studies (10 papers), EEG and Brain-Computer Interfaces (6 papers) and Neural dynamics and brain function (5 papers). Fiona McNab is often cited by papers focused on Neural and Behavioral Psychology Studies (10 papers), EEG and Brain-Computer Interfaces (6 papers) and Neural dynamics and brain function (5 papers). Fiona McNab collaborates with scholars based in United Kingdom, Sweden and Netherlands. Fiona McNab's co-authors include Torkel Klingberg, Lars Farde, Andrea Varrone, Hans Forssberg, Aurelija Jučaitė, Pär I. Johansson, Albert Compte, Jesper Tegnér, Fredrik Edin and Raymond J. Dolan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Neuroscience.

In The Last Decade

Fiona McNab

18 papers receiving 1.9k citations

Hit Papers

Prefrontal cortex and basal ganglia control access to wor... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fiona McNab United Kingdom 12 1.5k 491 317 202 171 19 2.0k
Hongkeun Kim South Korea 22 2.3k 1.5× 346 0.7× 318 1.0× 248 1.2× 222 1.3× 52 2.6k
S.C. Baker United Kingdom 6 1.3k 0.9× 326 0.7× 262 0.8× 184 0.9× 118 0.7× 6 1.7k
Noelia Ventura‐Campos Spain 26 1.3k 0.8× 388 0.8× 209 0.7× 300 1.5× 244 1.4× 57 1.9k
Pedro J. Pardo Spain 14 1.3k 0.9× 300 0.6× 283 0.9× 97 0.5× 118 0.7× 48 1.9k
Stephanie J. Hevenor Canada 11 1.6k 1.0× 674 1.4× 221 0.7× 197 1.0× 173 1.0× 14 2.1k
Koji Jimura Japan 25 2.1k 1.4× 526 1.1× 217 0.7× 158 0.8× 188 1.1× 64 2.6k
Kate Fissell United States 10 1.9k 1.2× 483 1.0× 330 1.0× 262 1.3× 119 0.7× 13 2.3k
Jeffrey W. Cooney United States 13 1.5k 1.0× 385 0.8× 181 0.6× 82 0.4× 122 0.7× 20 2.0k
Olivier Després France 22 1.1k 0.7× 357 0.7× 380 1.2× 150 0.7× 153 0.9× 49 1.7k
Timothy L. Hodgson United Kingdom 27 1.6k 1.1× 349 0.7× 219 0.7× 219 1.1× 199 1.2× 91 2.4k

Countries citing papers authored by Fiona McNab

Since Specialization
Citations

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

Fields of papers citing papers by Fiona McNab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona McNab

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

All Works

19 of 19 papers shown
2.
Zhang, Meichao, Fiona McNab, Jonathan Smallwood, & Elizabeth Jefferies. (2022). Perceptual coupling and decoupling are associated with individual differences in working memory encoding and maintenance. Cerebral Cortex. 32(18). 3959–3974. 6 indexed citations
3.
Ahmad, Jumana, Garrett Swan, Howard Bowman, et al.. (2017). Competitive interactions affect working memory performance for both simultaneous and sequential stimulus presentation. Scientific Reports. 7(1). 4785–4785. 14 indexed citations
4.
Miall, R. Chris, et al.. (2016). Individual differences in explicit and implicit visuomotor learning and working memory capacity. Scientific Reports. 6(1). 36633–36633. 69 indexed citations
5.
McNab, Fiona, Peter Zeidman, Robb B. Rutledge, et al.. (2015). Age-related changes in working memory and the ability to ignore distraction. Proceedings of the National Academy of Sciences. 112(20). 6515–6518. 80 indexed citations
6.
McNab, Fiona, Jumana Ahmad, Dipesh Mistry, Anna C. Nobre, & Kimron L. Shapiro. (2014). The effects of spatial proximity and colour similarity on competition between targets and distractors on visual working memory.. Journal of Vision. 14(10). 1378–1378.
7.
Brown, Harriet R., Peter Zeidman, Peter Smittenaar, et al.. (2014). Crowdsourcing for Cognitive Science – The Utility of Smartphones. PLoS ONE. 9(7). e100662–e100662. 72 indexed citations
8.
McNab, Fiona & Raymond J. Dolan. (2014). Dissociating distractor-filtering at encoding and during maintenance.. Journal of Experimental Psychology Human Perception & Performance. 40(3). 960–967. 34 indexed citations
9.
McNab, Fiona, Arjan Hillebrand, Stephen Swithenby, & Gina Rippon. (2012). Combining Temporal and Spectral Information with Spatial Mapping to Identify Differences between Phonological and Semantic Networks: A Magnetoencephalographic Approach. Frontiers in Psychology. 3. 273–273. 5 indexed citations
10.
Söderqvist, Stina, Fiona McNab, Myriam Peyrard‐Janvid, et al.. (2010). The SNAP25 Gene Is Linked to Working Memory Capacity and Maturation of the Posterior Cingulate Cortex During Childhood. Biological Psychiatry. 68(12). 1120–1125. 57 indexed citations
11.
Edin, Fredrik, Torkel Klingberg, Pär I. Johansson, et al.. (2009). Mechanism for top-down control of working memory capacity. Proceedings of the National Academy of Sciences. 106(16). 6802–6807. 274 indexed citations
12.
McNab, Fiona, Andrea Varrone, Lars Farde, et al.. (2009). Changes in Cortical Dopamine D1 Receptor Binding Associated with Cognitive Training. Science. 323(5915). 800–802. 408 indexed citations
13.
Klingberg, Torkel & Fiona McNab. (2009). Working Memory Remediation and the D1 Receptor. American Journal of Psychiatry. 166(5). 515–515. 7 indexed citations
14.
McNab, Fiona, Andrea Varrone, Lars Farde, et al.. (2009). Changes in Cortical Dopamine D1 Receptor Binding Associated with Cognitive Training. NeuroImage. 47. S77–S77. 17 indexed citations
15.
McNab, Fiona, et al.. (2008). Common and unique components of inhibition and working memory: An fMRI, within-subjects investigation. Neuropsychologia. 46(11). 2668–2682. 167 indexed citations
16.
Haslam, Catherine, et al.. (2007). Does maintenance of colour categories rely on language? Evidence to the contrary from a case of semantic dementia. Brain and Language. 103(3). 251–263. 16 indexed citations
17.
McNab, Fiona & Torkel Klingberg. (2007). Prefrontal cortex and basal ganglia control access to working memory. Nature Neuroscience. 11(1). 103–107. 763 indexed citations breakdown →
18.
McNab, Fiona, Gina Rippon, Arjan Hillebrand, Krish D. Singh, & Stephen Swithenby. (2006). Semantic and phonological task-set priming and stimulus processing investigated using magnetoencephalography (MEG). Neuropsychologia. 45(5). 1041–1054. 8 indexed citations
19.
Braeutigam, Sven, Fiona McNab, Stephen Swithenby, & Anthony Bailey. (2001). Neural correlates of single word processing: an MEG study. NeuroImage. 13(6). 510–510. 1 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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