M. Lippert

2.0k total citations
56 papers, 1.4k citations indexed

About

M. Lippert is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Condensed Matter Physics. According to data from OpenAlex, M. Lippert has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 20 papers in Cellular and Molecular Neuroscience and 12 papers in Condensed Matter Physics. Recurrent topics in M. Lippert's work include Neural dynamics and brain function (18 papers), Physics of Superconductivity and Magnetism (11 papers) and Neuroscience and Neural Engineering (10 papers). M. Lippert is often cited by papers focused on Neural dynamics and brain function (18 papers), Physics of Superconductivity and Magnetism (11 papers) and Neuroscience and Neural Engineering (10 papers). M. Lippert collaborates with scholars based in Germany, United States and United Kingdom. M. Lippert's co-authors include Christoph Kayser, Nikos K. Logothetis, Kentaroh Takagaki, Christopher I. Petkov, Frank W. Ohl, Julian Strobel, G. Saemann‐Ischenko, Jian‐Young Wu, Xiaoying Huang and Weifeng Xu and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Physical review. B, Condensed matter.

In The Last Decade

M. Lippert

52 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Lippert Germany 18 604 326 256 223 160 56 1.4k
Hemant Bokil United States 17 1.4k 2.3× 937 2.9× 51 0.2× 306 1.4× 105 0.7× 30 2.4k
Hiroyuki Miyamoto Japan 29 671 1.1× 1.2k 3.7× 61 0.2× 791 3.5× 35 0.2× 83 3.2k
Jürgen Dammers Germany 22 1.2k 2.0× 94 0.3× 210 0.8× 66 0.3× 48 0.3× 59 1.7k
Xiaobin He China 24 616 1.0× 673 2.1× 35 0.1× 37 0.2× 231 1.4× 90 2.1k
Koen Vervaeke Norway 19 981 1.6× 1.6k 4.9× 18 0.1× 34 0.2× 128 0.8× 40 2.1k
Manfried Hoke Germany 10 1.0k 1.7× 68 0.2× 181 0.7× 20 0.1× 82 0.5× 13 1.3k
Ho Ko Hong Kong 24 1.8k 3.1× 1.7k 5.3× 17 0.1× 386 1.7× 80 0.5× 63 3.4k
Michael P. Weisend United States 34 2.2k 3.7× 552 1.7× 199 0.8× 6 0.0× 124 0.8× 64 3.0k
N. Tepley United States 22 800 1.3× 129 0.4× 100 0.4× 22 0.1× 145 0.9× 63 1.6k
Shuzo Sakata United Kingdom 20 1.1k 1.8× 943 2.9× 134 0.5× 28 0.1× 111 0.7× 54 1.6k

Countries citing papers authored by M. Lippert

Since Specialization
Citations

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

Fields of papers citing papers by M. Lippert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Lippert

This figure shows the co-authorship network connecting the top 25 collaborators of M. Lippert. A scholar is included among the top collaborators of M. Lippert 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 M. Lippert. M. Lippert 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.
Atucha, Erika, Shih-Pi Ku, M. Lippert, & Magdalena Sauvage. (2023). Recalling gist memory depends on CA1 hippocampal neurons for lifetime retention and CA3 neurons for memory precision. Cell Reports. 42(11). 113317–113317. 8 indexed citations
2.
Artegiani, Benedetta, Joanna M. Wasielewska, M. Lippert, et al.. (2020). Increasing neurogenesis refines hippocampal activity rejuvenating navigational learning strategies and contextual memory throughout life. Nature Communications. 11(1). 135–135. 111 indexed citations
3.
Takagaki, Kentaroh, et al.. (2020). An optically transparent multi-electrode array for combined electrophysiology and optophysiology at the mesoscopic scale. Journal of Neural Engineering. 17(4). 46014–46014. 12 indexed citations
4.
Binder, Sonja, Matthias Mölle, M. Lippert, et al.. (2019). Monosynaptic Hippocampal-Prefrontal Projections Contribute to Spatial Memory Consolidation in Mice. Journal of Neuroscience. 39(35). 6978–6991. 42 indexed citations
5.
Janitzky, Kathrin, et al.. (2018). CAVE: An Open-Source Tool for Combined Analysis of Head-Mounted Calcium Imaging and Behavior in MATLAB. Frontiers in Neuroscience. 12. 958–958. 8 indexed citations
6.
Janitzky, Kathrin, et al.. (2015). Optogenetic silencing of locus coeruleus activity in mice impairs cognitive flexibility in an attentional set-shifting task. Frontiers in Behavioral Neuroscience. 9. 286–286. 48 indexed citations
7.
Takagaki, Kentaroh, Jean Russell, M. Lippert, & Gholam K. Motamedi. (2014). Development of the posterior basic rhythm in children with autism. Clinical Neurophysiology. 126(2). 297–303. 5 indexed citations
8.
Kolodziej, Angela, M. Lippert, Frank Angenstein, et al.. (2014). SPECT-imaging of activity-dependent changes in regional cerebral blood flow induced by electrical and optogenetic self-stimulation in mice. NeuroImage. 103. 171–180. 21 indexed citations
9.
Lippert, M., Kentaroh Takagaki, Christoph Kayser, & Frank W. Ohl. (2013). Asymmetric Multisensory Interactions of Visual and Somatosensory Responses in a Region of the Rat Parietal Cortex. PLoS ONE. 8(5). e63631–e63631. 33 indexed citations
10.
Wanger, Tim, Kentaroh Takagaki, M. Lippert, Jürgen Goldschmidt, & Frank W. Ohl. (2013). Wave propagation of cortical population activity under urethane anesthesia is state dependent. BMC Neuroscience. 14(1). 78–78. 12 indexed citations
11.
Marwede, Max, et al.. (2012). Practical demonstrator “Design for recycling photovoltaic system”. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–5. 2 indexed citations
12.
Militello, Carmelo, et al.. (2010). Resynchronization therapy optimization by intracardiac impedance. EP Europace. 12(11). 1589–1595. 10 indexed citations
13.
Takagaki, Kentaroh, M. Lippert, Benjamin Dann, Tim Wanger, & Frank W. Ohl. (2008). Normalization of Voltage-Sensitive Dye Signal with Functional Activity Measures. PLoS ONE. 3(12). e4041–e4041. 10 indexed citations
14.
Takagaki, Kentaroh, Chuan Zhang, Jian‐Young Wu, & M. Lippert. (2008). Crossmodal propagation of sensory-evoked and spontaneous activity in the rat neocortex. Neuroscience Letters. 431(3). 191–196. 27 indexed citations
15.
Beierlein, W, Tobias Walker, Andreas Straub, et al.. (2007). Intracardiac Impedance Monitors Hemodynamic Deterioration in a Chronic Heart Failure Pig Model. Journal of Cardiovascular Electrophysiology. 18(9). 985–990. 19 indexed citations
16.
Lippert, M., Nikos K. Logothetis, & Christoph Kayser. (2007). Improvement of visual contrast detection by a simultaneous sound. Brain Research. 1173. 102–109. 129 indexed citations
17.
18.
Zima, Endre, et al.. (2006). Determination of left ventricular volume changes by intracardiac conductance using a biventricular electrode configuration. EP Europace. 8(7). 537–544. 15 indexed citations
19.
Chirife, Raúl, et al.. (2002). RELATIVE VENTRICULAR VOLUME MEASUREMENTS BY INTRACARDIAC IMPEDANCE. Biomedizinische Technik/Biomedical Engineering. 47(s1a). 130–131. 1 indexed citations
20.
Osswald, Stefan, P Hilti, M. Lippert, et al.. (2000). Closed‐Loop Stimulation Using Intracardiac Impedance as a Sensor Principle: Correlation of Right Ventricular dP/dtmax and Intracardiac Impedance During Dobutamine Stress Test. Pacing and Clinical Electrophysiology. 23(10). 1502–1508. 53 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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