Alexander T. Sack

13.1k total citations
250 papers, 8.7k citations indexed

About

Alexander T. Sack is a scholar working on Cognitive Neuroscience, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Alexander T. Sack has authored 250 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Cognitive Neuroscience, 99 papers in Neurology and 30 papers in Psychiatry and Mental health. Recurrent topics in Alexander T. Sack's work include Transcranial Magnetic Stimulation Studies (97 papers), Neural and Behavioral Psychology Studies (95 papers) and Neural dynamics and brain function (61 papers). Alexander T. Sack is often cited by papers focused on Transcranial Magnetic Stimulation Studies (97 papers), Neural and Behavioral Psychology Studies (95 papers) and Neural dynamics and brain function (61 papers). Alexander T. Sack collaborates with scholars based in Netherlands, United States and Germany. Alexander T. Sack's co-authors include Rainer Goebel, Teresa Schuhmann, Tom A. de Graaf, Felix Duecker, David E.J. Linden, Sanne ten Oever, Elia Formisano, Heidi I.L. Jacobs, Roi Cohen Kadosh and Nina Bien and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Alexander T. Sack

238 papers receiving 8.6k citations

Peers

Alexander T. Sack
Dennis J.L.G. Schutter Netherlands
Julian Paul Keenan United States
Martín Lotze Germany
Lotfi B. Merabet United States
Roy H. Hamilton United States
Peter G. Enticott Australia
Hans‐Otto Karnath Germany
Nouchine Hadjikhani United States
Peter Mariën Belgium
Wolfgang H. R. Miltner Germany
Dennis J.L.G. Schutter Netherlands
Alexander T. Sack
Citations per year, relative to Alexander T. Sack Alexander T. Sack (= 1×) peers Dennis J.L.G. Schutter

Countries citing papers authored by Alexander T. Sack

Since Specialization
Citations

This map shows the geographic impact of Alexander T. Sack'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 Alexander T. Sack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander T. Sack more than expected).

Fields of papers citing papers by Alexander T. Sack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander T. Sack. 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 Alexander T. Sack. The network helps show where Alexander T. Sack may publish in the future.

Co-authorship network of co-authors of Alexander T. Sack

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

All Works

20 of 20 papers shown
1.
Oever, Sanne ten, et al.. (2025). Simultaneous tACS-fMRI reveals state- and frequency-specific modulation of hippocampal-cortical functional connectivity. Communications Psychology. 3(1). 19–19. 2 indexed citations
2.
Schuhmann, Teresa, et al.. (2025). Affective state-dependent effects of prefrontal rTMS on the cognitive control of negative stimuli in healthy and depressed individuals. Brain stimulation. 18(3). 745–752. 1 indexed citations
3.
Luykx, Jurjen J., Nikita van der Vinne, Evian Gordon, et al.. (2024). A Deep Learning–Derived Transdiagnostic Signature Indexing Hypoarousal and Impulse Control: Implications for Treatment Prediction in Psychiatric Disorders. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 10(6). 587–596. 1 indexed citations
4.
Trajkovic, Jelena, Alexander T. Sack, & Vincenzo Romei. (2024). EEG-based biomarkers predict individual differences in TMS-induced entrainment of intrinsic brain rhythms. Brain stimulation. 17(2). 224–232. 7 indexed citations
5.
Weerd, Peter De, et al.. (2024). Distinct effects of slow and fast theta tACS in enhancing temporal memory. Imaging Neuroscience. 2. 2 indexed citations
6.
7.
Sack, Alexander T., et al.. (2023). Modulating risk-taking behavior with theta-band tACS. NeuroImage. 283. 120422–120422. 4 indexed citations
8.
Smirnova, Daria, et al.. (2023). Comparing the Anti-Depressive Effect of Electroconvulsive Therapy (ECT) Versus Transcranial Magnetic Stimulation (TMS) in the Treatment of Patients with Depression.. PubMed. 35(Suppl 2). 48–55. 3 indexed citations
9.
Duecker, Felix, et al.. (2022). Transcranial magnetic stimulation over posterior parietal cortex modulates alerting and executive control processes in attention. European Journal of Neuroscience. 56(10). 5853–5868. 5 indexed citations
10.
Sack, Alexander T., et al.. (2022). The functional relevance of right DLPFC and VMPFC in risk-taking behavior. Cortex. 159. 64–74. 3 indexed citations
11.
Bayraktaroğlu, Zübeyir, Tuba Aktürk, Görsev Yener, et al.. (2022). Abnormal Cross Frequency Coupling of Brain Electroencephalographic Oscillations Related to Visual Oddball Task in Parkinson's Disease with Mild Cognitive Impairment. Clinical EEG and Neuroscience. 54(4). 379–390. 8 indexed citations
12.
13.
Oever, Sanne ten, et al.. (2021). No evidence of rhythmic visuospatial attention at cued locations in a spatial cuing paradigm, regardless of their behavioural relevance. European Journal of Neuroscience. 55(11-12). 3100–3116. 11 indexed citations
14.
Chou, Po‐Han, Kuang Lin, Ming‐Kuei Lu, et al.. (2021). Personalization of Repetitive Transcranial Magnetic Stimulation for the Treatment of Major Depressive Disorder According to the Existing Psychiatric Comorbidity. Clinical Psychopharmacology and Neuroscience. 19(2). 190–205. 25 indexed citations
15.
Sack, Alexander T., et al.. (2021). Calibrating rhythmic stimulation parameters to individual electroencephalography markers: The consistency of individual alpha frequency in practical lab settings. European Journal of Neuroscience. 55(11-12). 3418–3437. 8 indexed citations
16.
Graaf, Tom A. de, et al.. (2020). Does alpha phase modulate visual target detection? Three experiments with tACS‐phase‐based stimulus presentation. European Journal of Neuroscience. 51(11). 2299–2313. 20 indexed citations
17.
Krepel, Noralie, et al.. (2020). A multicenter effectiveness trial of QEEG-informed neurofeedback in ADHD: Replication and treatment prediction. NeuroImage Clinical. 28. 102399–102399. 31 indexed citations
18.
Folkerts, Ann‐Kristin, Mandy Roheger, Janneke Koerts, et al.. (2018). Cognitive Stimulation for Individuals with Parkinson’s Disease Dementia Living in Long-Term Care: Preliminary Data from a Randomized Crossover Pilot Study. Parkinson s Disease. 2018. 1–9. 21 indexed citations
19.
Paes, Flávia, Tathiana Baczynski, Óscar Arias-Carrión, et al.. (2013). Repetitive Transcranial Magnetic Stimulation (rTMS) to Treat Social Anxiety Disorder: Case Reports and a Review of the Literature. Clinical Practice and Epidemiology in Mental Health. 9(1). 180–188. 27 indexed citations
20.
Machado, Sérgio, Flávia Paes, Bruna Velasques, et al.. (2010). EEG-based Brain-Computer Interfaces: An Overview of Basic Concepts and Clinical Applications in Neurorehabilitation. Reviews in the Neurosciences. 21(6). 451–68. 88 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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