Charlotte J. Stagg

16.5k total citations · 3 hit papers
134 papers, 9.7k citations indexed

About

Charlotte J. Stagg is a scholar working on Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Charlotte J. Stagg has authored 134 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cognitive Neuroscience, 61 papers in Neurology and 45 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Charlotte J. Stagg's work include Transcranial Magnetic Stimulation Studies (58 papers), Functional Brain Connectivity Studies (37 papers) and Advanced MRI Techniques and Applications (31 papers). Charlotte J. Stagg is often cited by papers focused on Transcranial Magnetic Stimulation Studies (58 papers), Functional Brain Connectivity Studies (37 papers) and Advanced MRI Techniques and Applications (31 papers). Charlotte J. Stagg collaborates with scholars based in United Kingdom, United States and Canada. Charlotte J. Stagg's co-authors include Michael A. Nitsche, Heidi Johansen‐Berg, Velicia Bachtiar, Paul M. Matthews, Jacinta O’Shea, Zsigmond Tamás Kincses, Andrea Antal, Jamie Near, Marzena Wylezinska and Jonathan G. Best and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and NeuroImage.

In The Last Decade

Charlotte J. Stagg

121 papers receiving 9.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Physiological Basis of Transcranial Direct Current Stimulation

2011 1.3k citations Charlotte J. Stagg, Michael A. Nitsche profile →
A technical guide to tDCS, and related non-invasive brain stimulation tools

2015 962 citations Pablo Celnik, Leonardo G. Cohen et al. Clinical Neurophysiology profile →
Polarity-Sensitive Modulation of Cortical Neurotransmitters by Transcranial Stimulation

2009 695 citations Charlotte J. Stagg, Jonathan G. Best et al. Journal of Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charlotte J. Stagg United Kingdom	46	5.7k	5.1k	1.6k	1.5k	1.4k	134	9.7k
Yoshikazu Ugawa Japan	59	7.3k 1.3×	4.8k 0.9×	2.0k 1.2×	1.5k 1.0×	2.4k 1.7×	412	12.1k
Angelo Quartarone Italy	47	4.1k 0.7×	2.8k 0.5×	1.7k 1.1×	886 0.6×	1.2k 0.8×	336	8.5k
David Liebetanz Germany	37	8.6k 1.5×	5.1k 1.0×	2.0k 1.3×	423 0.3×	2.0k 1.4×	89	10.5k
Fabio Pilato Italy	42	4.8k 0.8×	2.8k 0.5×	1.2k 0.8×	450 0.3×	1.5k 1.0×	199	6.9k
Nicolas Lang Germany	38	9.2k 1.6×	5.8k 1.1×	1.6k 1.0×	465 0.3×	2.1k 1.5×	75	10.7k
Christian Grefkes Germany	57	4.9k 0.9×	11.1k 2.2×	917 0.6×	3.3k 2.2×	1.5k 1.1×	175	16.3k
Takashi Hanakawa Japan	53	2.0k 0.3×	5.9k 1.2×	976 0.6×	1.5k 1.0×	1.0k 0.7×	208	9.8k
Abraham Zangen Israel	55	5.1k 0.9×	3.7k 0.7×	2.5k 1.6×	460 0.3×	564 0.4×	204	9.4k
Martin Tegenthoff Germany	57	2.8k 0.5×	4.0k 0.8×	1.4k 0.9×	535 0.4×	1.2k 0.8×	279	9.8k
Julien Doyon Canada	69	2.8k 0.5×	12.3k 2.4×	1.7k 1.1×	2.1k 1.4×	1.3k 0.9×	235	17.5k

Countries citing papers authored by Charlotte J. Stagg

Since Specialization

Citations

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

Fields of papers citing papers by Charlotte J. Stagg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charlotte J. Stagg. 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 Charlotte J. Stagg. The network helps show where Charlotte J. Stagg may publish in the future.

Co-authorship network of co-authors of Charlotte J. Stagg

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

All Works

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20 of 20 papers shown

Stagg, Charlotte J., Lukas Frontzkowski, Robert Oostenveld, et al.. (2025). Human cortical high‐gamma power scales with movement rate in healthy participants and stroke survivors. The Journal of Physiology. 603(4). 873–893. 1 indexed citations

Martin, Eleanor, Tulika Nandi, Sebastian W. Rieger, et al.. (2025). Ultrasound system for precise neuromodulation of human deep brain circuits. Nature Communications. 16(1). 8024–8024. 2 indexed citations

Hendrikse, Joshua, Nigel C. Rogasch, Murat Yücel, et al.. (2025). Default mode and motor networks facilitate early learning of implicit motor sequences: a multimodal MR spectroscopy and fMRI study. The Journal of Physiology. 603(22). 7071–7087.

Martin, Eleanor, Tulika Nandi, Jon Campbell, et al.. (2025). Ultrasound neuromodulation of the LGN leads to significant activity changes in the ipsilateral visual cortex of healthy humans. Brain stimulation. 18(1). 387–387.

Paparella, Ilenia, Catharina Zich, Sebastian W. Rieger, et al.. (2025). Dual-site beta transcranial alternating current stimulation during a bimanual coordination task modulates functional connectivity between motor areas. Brain stimulation. 18(5). 1566–1578.

Edwards, Jodi D., Charlotte Rosso, Meret Branscheidt, et al.. (2024). A translational roadmap for transcranial magnetic and direct current stimulation in stroke rehabilitation: Consensus-based core recommendations from the Third Stroke Recovery and Rehabilitation Roundtable. Clinical Neurophysiology. 159. e25–e26. 1 indexed citations

Braaß, Hanna, et al.. (2024). Differential effects of theta-gamma tACS on motor skill acquisition in young individuals and stroke survivors: A double-blind, randomized, sham-controlled study. Brain stimulation. 17(5). 1076–1085. 4 indexed citations

Williams, Jade, et al.. (2023). Relationship between skill training and skill transfer through the example of bimanual motor learning. European Journal of Neuroscience. 59(1). 54–68. 1 indexed citations

Green, Jonathan, Gorana Pobric, JeYoung Jung, et al.. (2022). Neuroanatomical correlates of working memory performance in Neurofibromatosis 1. Cerebral Cortex Communications. 3(2). tgac021–tgac021. 1 indexed citations

10.

Lazari, Alberto, Piergiorgio Salvan, Lennart Verhagen, et al.. (2022). A macroscopic link between interhemispheric tract myelination and cortico-cortical interactions during action reprogramming. Nature Communications. 13(1). 4253–4253. 6 indexed citations

11.

Lazari, Alberto, Piergiorgio Salvan, Michiel Cottaar, et al.. (2021). Reassessing associations between white matter and behaviour with multimodal microstructural imaging. Cortex. 145. 187–200. 8 indexed citations

12.

Steel, Adam, Chris I. Baker, & Charlotte J. Stagg. (2020). Intention to learn modulates the impact of reward and punishment on sequence learning. Scientific Reports. 10(1). 8906–8906. 6 indexed citations

13.

Emir, Uzay, et al.. (2019). Learning to optimize perceptual decisions through suppressive interactions in the human brain. Nature Communications. 10(1). 474–474. 39 indexed citations

14.

Thomas, Adam G., Natalie Voets, Jonathan G. Best, et al.. (2018). Hippocampal Functional Dynamics Are Clinically Implicated in Autoimmune Encephalitis With Faciobrachial Dystonic Seizures. Frontiers in Neurology. 9. 736–736. 3 indexed citations

15.

Nowak, M A, Emily L. Hinson, Freek van Ede, et al.. (2017). Driving Human Motor Cortical Oscillations Leads to Behaviorally Relevant Changes in Local GABA_AInhibition: A tACS-TMS Study. Journal of Neuroscience. 37(17). 4481–4492. 106 indexed citations

16.

Lin, Richard L., Gwenaëlle Douaud, Nicola Filippini, et al.. (2017). Structural Connectivity Variances Underlie Functional and Behavioral Changes During Pain Relief Induced by Neuromodulation. Scientific Reports. 7(1). 41603–41603. 58 indexed citations

17.

Hess, Aaron T., Stuart Clare, Velicia Bachtiar, et al.. (2015). Two‐voxel spectroscopy with dynamic B₀ shimming and flip angle adjustment at 7 T in the human motor cortex. NMR in Biomedicine. 28(7). 852–860. 24 indexed citations

18.

Stagg, Charlotte J., Steven Knight, Kevin Talbot, et al.. (2013). Whole-brain magnetic resonance spectroscopic imaging measures are related to disability in ALS. Neurology. 80(7). 610–615. 42 indexed citations

19.

Vincent, Katy, Catherine E. Warnaby, Charlotte J. Stagg, et al.. (2012). Brain imaging reveals that engagement of descending inhibitory pain pathways in healthy women in a low endogenous estradiol state varies with testosterone. Pain. 154(4). 515–524. 74 indexed citations

20.

Stagg, Charlotte J., Sven Bestmann, Alexandra O. Constantinescu, et al.. (2011). Relationship between physiological measures of excitability and levels of glutamate and GABA in the human motor cortex. The Journal of Physiology. 589(23). 5845–5855. 268 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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