Ulrich Egert

3.3k total citations
55 papers, 2.5k citations indexed

About

Ulrich Egert is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Ulrich Egert has authored 55 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cellular and Molecular Neuroscience, 39 papers in Cognitive Neuroscience and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ulrich Egert's work include Neuroscience and Neural Engineering (36 papers), Neural dynamics and brain function (34 papers) and Neuroscience and Neuropharmacology Research (19 papers). Ulrich Egert is often cited by papers focused on Neuroscience and Neural Engineering (36 papers), Neural dynamics and brain function (34 papers) and Neuroscience and Neuropharmacology Research (19 papers). Ulrich Egert collaborates with scholars based in Germany, United States and Switzerland. Ulrich Egert's co-authors include W. Nisch, Samora Okujeni, Marcel Halbach, Kathrin Banach, Hugo Hämmerle, Ad Aertsen, H. Haemmerle, Thomas Meyer, Alfred Stett and Elke Guenther and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Ulrich Egert

53 papers receiving 2.4k citations

Peers

Ulrich Egert

CMN

EEE

Yasuhiko Jimbo Japan

Udo Kraushaar Germany

Johanna M. Montgomery New Zealand

Michela Chiappalone Italy

Alfred Stett Germany

Luca Berdondini Italy

Pascale Quilichini France

Wim Rutten Netherlands

Jennifer N. Gelinas United States

Paolo Massobrio Italy

Yasuhiko Jimbo Japan

Ulrich Egert

2.2k ×1.2

CMN

1.6k ×1.5

372 ×0.7

599 ×1.3

EEE

646 ×1.5

Citations per year, relative to Ulrich Egert Ulrich Egert (= 1×) peers Yasuhiko Jimbo

Countries citing papers authored by Ulrich Egert

Since Specialization

Citations

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

Fields of papers citing papers by Ulrich Egert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Egert

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Boehler, Christian, et al.. (2023). On-demand low-frequency stimulation for seizure control: efficacy and behavioural implications. Brain. 147(2). 505–520. 9 indexed citations

Kilias, Antje, Ulrich P. Froriep, Tobias Holzhammer, et al.. (2021). Intracortical probe arrays with silicon backbone and microelectrodes on thin polyimide wings enable long-term stable recordings in vivo. Journal of Neural Engineering. 18(6). 66026–66026. 5 indexed citations

Elgueta, Claudio, Ute Häussler, Marlene Bartos, et al.. (2020). Hippocampal low-frequency stimulation prevents seizure generation in a mouse model of mesial temporal lobe epilepsy. eLife. 9. 40 indexed citations

Boedecker, Joschka, et al.. (2018). Controlling biological neural networks with deep reinforcement learning.. FreiDok plus (Universitätsbibliothek Freiburg). 1 indexed citations

Janz, Philipp, et al.. (2018). Position- and Time-Dependent Arc Expression Links Neuronal Activity to Synaptic Plasticity During Epileptogenesis. Frontiers in Cellular Neuroscience. 12. 244–244. 25 indexed citations

Kilias, Antje, Andrés Canales, Ulrich P. Froriep, et al.. (2018). Optogenetic entrainment of neural oscillations with hybrid fiber probes. Journal of Neural Engineering. 15(5). 56006–56006. 15 indexed citations

Kilias, Antje, et al.. (2018). Theta frequency decreases throughout the hippocampal formation in a focal epilepsy model. Hippocampus. 28(6). 375–391. 22 indexed citations

Okujeni, Samora, Steffen Kandler, & Ulrich Egert. (2017). Mesoscale Architecture Shapes Initiation and Richness of Spontaneous Network Activity. Journal of Neuroscience. 37(14). 3972–3987. 39 indexed citations

Okujeni, Samora, et al.. (2016). Autonomous Optimization of Targeted Stimulation of Neuronal Networks. PLoS Computational Biology. 12(8). e1005054–e1005054. 13 indexed citations

10.

Froriep, Ulrich P., Arvind Kumar, Delphine Cosandier‐Rimélé, et al.. (2012). Altered theta coupling between medial entorhinal cortex and dentate gyrus in temporal lobe epilepsy. Epilepsia. 53(11). 1937–1947. 28 indexed citations

11.

Tetzlaff, Christian, Samora Okujeni, Ulrich Egert, Florentin Wörgötter, & Markus Butz. (2010). Self-Organized Criticality in Developing Neuronal Networks. PLoS Computational Biology. 6(12). e1001013–e1001013. 136 indexed citations

12.

Zhao, Na, Ulrich Egert, Pengzhou Hang, et al.. (2010). Myocardial Iron Metabolism in the Regulation of Cardiovascular Diseases in Rats. Cellular Physiology and Biochemistry. 25(6). 587–594. 21 indexed citations

13.

Rotter, Stefan, et al.. (2009). Functional identification of biological neural networks using reservoir adaptation for point processes. Journal of Computational Neuroscience. 29(1-2). 279–299. 9 indexed citations

14.

Frey, Urs, Ulrich Egert, F J de Heer, S. Hafizovic, & Andreas Hierlemann. (2008). Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices. Biosensors and Bioelectronics. 24(7). 2191–2198. 168 indexed citations

15.

Egert, Ulrich, et al.. (2008). FIND — A unified framework for neural data analysis. Neural Networks. 21(8). 1085–1093. 52 indexed citations

16.

Reppel, Michael, et al.. (2007). Effect of Cardioactive Drugs on Action Potential Generation and Propagation in Embryonic Stem Cell-Derived Cardiomyocytes. Cellular Physiology and Biochemistry. 19(5-6). 213–224. 50 indexed citations

17.

Hescheler, Juergen, Marcel Halbach, Ulrich Egert, et al.. (2004). Determination of electrical properties of ES cell-derived cardiomyocytes using MEAs. Journal of Electrocardiology. 37. 110–116. 60 indexed citations

18.

Halbach, Marcel, Ulrich Egert, Jürgen Hescheler, & Kathrin Banach. (2003). Estimation of Action Potential Changes from Field Potential Recordings in Multicellular Mouse Cardiac Myocyte Cultures. Cellular Physiology and Biochemistry. 13(5). 271–284. 155 indexed citations

19.

Egert, Ulrich, Detlef Heck, & Ad Aertsen. (2002). Two-dimensional monitoring of spiking networks in acute brain slices. Experimental Brain Research. 142(2). 268–274. 92 indexed citations

20.

Hämmerle, Hugo, Ulrich Egert, A. Mohr, & W. Nisch. (1994). Extracellular recording in neuronal networks with substrate integrated microelectrode arrays. Biosensors and Bioelectronics. 9(9-10). 691–696. 40 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