Alexander Opitz

8.1k total citations · 3 hit papers
87 papers, 5.0k citations indexed

About

Alexander Opitz is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alexander Opitz has authored 87 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Cognitive Neuroscience, 56 papers in Neurology and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alexander Opitz's work include Transcranial Magnetic Stimulation Studies (56 papers), Functional Brain Connectivity Studies (33 papers) and Neural dynamics and brain function (20 papers). Alexander Opitz is often cited by papers focused on Transcranial Magnetic Stimulation Studies (56 papers), Functional Brain Connectivity Studies (33 papers) and Neural dynamics and brain function (20 papers). Alexander Opitz collaborates with scholars based in United States, Germany and Netherlands. Alexander Opitz's co-authors include Axel Thielscher, Mirko Windhoff, William J. Tyler, Wynn Legon, Walter Paulus, Tomokazu Sato, Ivan Alekseichuk, Aaron J Barbour, Jerel Mueller and Amanda Williams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Alexander Opitz

75 papers receiving 5.0k citations

Hit Papers

Transcranial focused ultrasound modulates the activity of... 2014 2026 2018 2022 2014 2015 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Opitz United States 32 3.0k 2.7k 1.4k 1.1k 1.0k 87 5.0k
Zsigmond Tamás Kincses Hungary 33 3.0k 1.0× 3.1k 1.1× 678 0.5× 718 0.6× 967 0.9× 121 5.6k
Yasuo Terao Japan 41 4.3k 1.4× 3.0k 1.1× 1.5k 1.1× 609 0.5× 975 1.0× 200 6.4k
Ethan R. Buch United States 22 2.0k 0.7× 3.0k 1.1× 937 0.7× 291 0.3× 653 0.6× 32 4.1k
Ritsuko Hanajima Japan 43 3.9k 1.3× 2.7k 1.0× 1.3k 1.0× 519 0.5× 1.0k 1.0× 181 5.8k
Marom Bikson United States 29 2.8k 0.9× 2.0k 0.7× 612 0.4× 219 0.2× 931 0.9× 81 3.8k
Davide Reato United States 11 2.5k 0.8× 2.1k 0.8× 536 0.4× 189 0.2× 937 0.9× 16 3.3k
Abhishek Datta United States 50 7.0k 2.3× 4.7k 1.7× 1.6k 1.2× 791 0.7× 1.8k 1.8× 181 9.7k
Toshiaki Furubayashi Japan 29 2.6k 0.9× 1.7k 0.6× 968 0.7× 303 0.3× 472 0.5× 70 3.4k
Scott Barbay United States 24 1.5k 0.5× 1.5k 0.5× 611 0.4× 311 0.3× 1.2k 1.2× 53 3.6k
Vahé E. Amassian United States 33 2.1k 0.7× 1.7k 0.6× 864 0.6× 306 0.3× 811 0.8× 56 3.6k

Countries citing papers authored by Alexander Opitz

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Opitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Opitz

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Opitz. A scholar is included among the top collaborators of Alexander Opitz 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 Opitz. Alexander Opitz 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.
Conelea, Christine A., Rayus Kuplicki, Alexander Opitz, et al.. (2025). Targeting VMPFC‐amygdala circuit with TMS in substance use disorder: A mechanistic framework. Addiction Biology. 30(1). e70011–e70011. 7 indexed citations
2.
Aberra, Aman S., et al.. (2025). Simulation of evoked responses to transcranial magnetic stimulation using a multiscale cortical circuit model. Brain stimulation. 19(1). 102983–102983.
4.
5.
Yachou, Yassine, Noomane Bouaziz, Dominique Januel, et al.. (2025). Transcranial direct current stimulation in patients with depression: An electric field modeling meta-analysis. Journal of Affective Disorders. 374. 540–552. 2 indexed citations
7.
Shirinpour, Sina, et al.. (2024). Intensity- and frequency-specific effects of transcranial alternating current stimulation are explained by network dynamics. Journal of Neural Engineering. 21(2). 26024–26024. 23 indexed citations
8.
Lehmann‐Hasemeyer, Sibylle & Alexander Opitz. (2024). Data Sources on the 19th and Early 20th Century German Capital Market: Challenges and Opportunities. German Economic Review. 25(4). 371–391.
9.
Wischnewski, Miles, et al.. (2024). Meta-modeling the effects of anodal left prefrontal transcranial direct current stimulation on working memory performance. Imaging Neuroscience. 2. 4 indexed citations
10.
Opitz, Alexander, et al.. (2024). Individuals with psychosis receive less electric field strength during transcranial direct current stimulation compared to healthy controls. SHILAP Revista de lepidopterología. 10(1). 111–111. 3 indexed citations
11.
Conelea, Christine A., Deanna J. Greene, Jennifer R. Alexander, et al.. (2023). The CBIT + TMS trial: study protocol for a two-phase randomized controlled trial testing neuromodulation to augment behavior therapy for youth with chronic tics. Trials. 24(1). 439–439. 5 indexed citations
12.
Shirinpour, Sina, Ivan Alekseichuk, Gary Linn, et al.. (2023). Predicting the phase distribution during multi-channel transcranial alternating current stimulation in silico and in vivo. Computers in Biology and Medicine. 166. 107516–107516. 3 indexed citations
13.
Shirinpour, Sina, Christos Galanis, Andreas Vlachos, et al.. (2021). Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation. Brain stimulation. 14(6). 1470–1482. 29 indexed citations
14.
Wischnewski, Miles, et al.. (2021). Identifying regions in prefrontal cortex related to working memory improvement: A novel meta-analytic method using electric field modeling. Neuroscience & Biobehavioral Reviews. 130. 147–161. 47 indexed citations
15.
Shirinpour, Sina, et al.. (2021). Evaluating transcranial magnetic stimulation (TMS) induced electric fields in pediatric stroke. NeuroImage Clinical. 29. 102563–102563. 18 indexed citations
16.
Shirinpour, Sina, et al.. (2020). Experimental evaluation of methods for real-time EEG phase-specific transcranial magnetic stimulation. Journal of Neural Engineering. 17(4). 46002–46002. 32 indexed citations
17.
Alekseichuk, Ivan, Arnaud Falchier, Gary Linn, et al.. (2019). Electric field dynamics in the brain during multi-electrode transcranial electric stimulation. Nature Communications. 10(1). 2573–2573. 70 indexed citations
18.
Liu, Anli, Mihály Vöröslakos, Greg Kronberg, et al.. (2018). Immediate neurophysiological effects of transcranial electrical stimulation. Nature Communications. 9(1). 5092–5092. 373 indexed citations breakdown →
19.
Opitz, Alexander, Michael Fox, R. Cameron Craddock, Stan Colcombe, & Michael P. Milham. (2015). An integrated framework for targeting functional networks via transcranial magnetic stimulation. NeuroImage. 127. 86–96. 82 indexed citations
20.
Polanía, Rafael, Marius Moisa, Alexander Opitz, Marcus Grueschow, & Christian C. Ruff. (2015). The precision of value-based choices depends causally on fronto-parietal phase coupling. Nature Communications. 6(1). 8090–8090. 97 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026