Daniel Ulrich

2.7k total citations
36 papers, 1.9k citations indexed

About

Daniel Ulrich is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel Ulrich has authored 36 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 21 papers in Cognitive Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Daniel Ulrich's work include Neuroscience and Neuropharmacology Research (22 papers), Neural dynamics and brain function (15 papers) and Photoreceptor and optogenetics research (9 papers). Daniel Ulrich is often cited by papers focused on Neuroscience and Neuropharmacology Research (22 papers), Neural dynamics and brain function (15 papers) and Photoreceptor and optogenetics research (9 papers). Daniel Ulrich collaborates with scholars based in United States, Switzerland and Germany. Daniel Ulrich's co-authors include John R. Huguenard, Mario Rosanova, Bernhard Bettler, Mike Neubig, Alain Destexhe, Luc J. Gentet, H. R. Lüscher, Richard B. Jacobsen, Antonny Czarnecki and Tomáš Ondrejčák and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Daniel Ulrich

32 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Ulrich United States 21 1.4k 1.3k 400 211 136 36 1.9k
Aaron J. Gruber Canada 17 1.6k 1.2× 1.1k 0.8× 469 1.2× 168 0.8× 79 0.6× 53 2.6k
Brendon O. Watson United States 21 2.0k 1.5× 1.4k 1.1× 313 0.8× 129 0.6× 131 1.0× 48 2.7k
Ana D. de Lima Germany 22 1.0k 0.7× 1.4k 1.0× 580 1.4× 78 0.4× 86 0.6× 43 2.0k
Alexey Ponomarenko Germany 21 1.3k 1.0× 1.5k 1.1× 451 1.1× 123 0.6× 377 2.8× 36 2.3k
Praneeth Namburi United States 12 1.2k 0.9× 791 0.6× 291 0.7× 207 1.0× 116 0.9× 18 1.8k
Christopher C. Lapish United States 22 1.4k 1.1× 2.2k 1.6× 941 2.4× 96 0.5× 111 0.8× 63 3.0k
Tara C. Thiagarajan United States 15 1.6k 1.2× 1.2k 0.9× 493 1.2× 180 0.9× 43 0.3× 31 2.5k
Maxim Volgushev Germany 29 2.6k 1.9× 2.3k 1.7× 355 0.9× 66 0.3× 110 0.8× 82 3.2k
О. S. Vinogradova Russia 21 1.4k 1.0× 1.2k 0.9× 247 0.6× 99 0.5× 72 0.5× 85 1.9k
Joseph Cichon United States 12 904 0.7× 1.3k 1.0× 586 1.5× 102 0.5× 180 1.3× 16 2.3k

Countries citing papers authored by Daniel Ulrich

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ulrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ulrich

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ulrich. A scholar is included among the top collaborators of Daniel Ulrich 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 Daniel Ulrich. Daniel Ulrich 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.
Pérez‐Garci, Enrique, Giorgio Rizzi, Daniel Ulrich, et al.. (2025). Binding of HCN channels to GABAB receptors in dopamine neurons of the VTA limits synaptic inhibition and prevents the development of anxiety. Neurobiology of Disease. 206. 106831–106831.
2.
Stawarski, Michał, Daniel Ulrich, Jochen Schwenk, et al.. (2025). Normalization of network activity in an epilepsy model with a constitutively active GABBR2 variant. Brain.
3.
Rodler, Severin, Daniel Ulrich, Jozefina Casuscelli, et al.. (2023). Patients’ Trust in Artificial Intelligence–based Decision-making for Localized Prostate Cancer: Results from a Prospective Trial. European Urology Focus. 10(4). 654–661. 25 indexed citations
4.
Ulrich, Daniel, Thorsten Fritzius, Ziyang Chen, et al.. (2023). Soluble amyloid-β precursor peptide does not regulate GABAB receptor activity. eLife. 12. 6 indexed citations
5.
Ulrich, Daniel, Txomin Lalanne, Martin Gassmann, & Bernhard Bettler. (2017). GABAB receptor subtypes differentially regulate thalamic spindle oscillations. Neuropharmacology. 136(Pt A). 106–116. 11 indexed citations
6.
Alicata, Daniel, et al.. (2015). Telemental Health Training, Team Building, and Workforce Development in Cultural Context: The Hawaii Experience. Journal of Child and Adolescent Psychopharmacology. 26(3). 260–265. 13 indexed citations
7.
Ulrich, Daniel. (2015). Amyloid-  Impairs Synaptic Inhibition via GABAA Receptor Endocytosis. Journal of Neuroscience. 35(24). 9205–9210. 90 indexed citations
8.
Lanté, Fabien, et al.. (2011). Removal of Synaptic Ca 2+ -Permeable AMPA Receptors during Sleep. Journal of Neuroscience. 31(11). 3953–3961. 53 indexed citations
9.
Ulrich, Daniel & Bernhard Bettler. (2007). GABAB receptors: synaptic functions and mechanisms of diversity. Current Opinion in Neurobiology. 17(3). 298–303. 137 indexed citations
10.
Ulrich, Daniel, Valérie Besseyrias, & Bernhard Bettler. (2007). Functional Mapping of GABAB-Receptor Subtypes in the Thalamus. Journal of Neurophysiology. 98(6). 3791–3795. 17 indexed citations
11.
Czarnecki, Antonny, et al.. (2006). Cellular mechanisms of burst firing‐mediated long‐term depression in rat neocortical pyramidal cells. The Journal of Physiology. 578(2). 471–479. 66 indexed citations
12.
Rosanova, Mario & Daniel Ulrich. (2005). Pattern-Specific Associative Long-Term Potentiation Induced by a Sleep Spindle-Related Spike Train. Journal of Neuroscience. 25(41). 9398–9405. 302 indexed citations
13.
14.
Gentet, Luc J. & Daniel Ulrich. (2004). Electrophysiological characterization of synaptic connections between layer VI cortical cells and neurons of the nucleus reticularis thalami in juvenile rats. European Journal of Neuroscience. 19(3). 625–633. 37 indexed citations
15.
Gentet, Luc J. & Daniel Ulrich. (2003). Strong, reliable and precise synaptic connections between thalamic relay cells and neurones of the nucleus reticularis in juvenile rats. The Journal of Physiology. 546(3). 801–811. 69 indexed citations
16.
Ulrich, Daniel. (2003). Differential arithmetic of shunting inhibition for voltage and spike rate in neocortical pyramidal cells. European Journal of Neuroscience. 18(8). 2159–2165. 39 indexed citations
17.
Ulrich, Daniel & John R. Huguenard. (1997). GABAA-Receptor-Mediated Rebound Burst Firing and Burst Shunting in Thalamus. Journal of Neurophysiology. 78(3). 1748–1751. 63 indexed citations
18.
Ulrich, Daniel & John R. Huguenard. (1995). Purinergic inhibition of GABA and glutamate release in the thalamus: Implications for thalamic network activity. Neuron. 15(4). 909–918. 80 indexed citations
19.
Ash, Stephen R., et al.. (1984). The TOTAL RECALL™ Program: A Relational Office Database Interfacable with Briefcase Computers. PubMed Central. 429–432.
20.
Ash, Stephen R., et al.. (1983). The Computerized Notation System. Journal of Clinical Engineering. 8(2). 147–156. 3 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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