Peter Jedlička

3.1k total citations
79 papers, 2.1k citations indexed

About

Peter Jedlička is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Peter Jedlička has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cellular and Molecular Neuroscience, 39 papers in Cognitive Neuroscience and 16 papers in Molecular Biology. Recurrent topics in Peter Jedlička's work include Neuroscience and Neuropharmacology Research (54 papers), Neural dynamics and brain function (27 papers) and Neuroscience and Neural Engineering (15 papers). Peter Jedlička is often cited by papers focused on Neuroscience and Neuropharmacology Research (54 papers), Neural dynamics and brain function (27 papers) and Neuroscience and Neural Engineering (15 papers). Peter Jedlička collaborates with scholars based in Germany, United States and United Kingdom. Peter Jedlička's co-authors include Stephan W. Schwarzacher, Thomas Deller, Andreas Vlachos, Hermann Cuntz, Nils Brose, Heinrich Betz, Theofilos Papadopoulos, Tassilo Jungenitz, Alexandros Poulopoulos and Mrinalini Hoon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Peter Jedlička

76 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Jedlička Germany 26 1.3k 713 671 365 261 79 2.1k
Raphael Lamprecht Israel 22 1.6k 1.3× 758 1.1× 910 1.4× 319 0.9× 229 0.9× 51 2.4k
Jennifer N. Bourne United States 20 1.8k 1.4× 959 1.3× 784 1.2× 353 1.0× 402 1.5× 31 2.8k
Naoki Honkura Japan 11 2.0k 1.5× 962 1.3× 698 1.0× 284 0.8× 365 1.4× 21 2.7k
Lynn E. Dobrunz United States 26 1.9k 1.5× 1.1k 1.5× 1.1k 1.6× 225 0.6× 154 0.6× 50 2.8k
Yumiko Yoshimura Japan 26 1.8k 1.4× 918 1.3× 1.3k 2.0× 565 1.5× 358 1.4× 61 3.1k
Tonghui Xu China 21 986 0.8× 604 0.8× 763 1.1× 361 1.0× 166 0.6× 41 2.5k
Melanie A. Woodin Canada 28 1.7k 1.4× 1.1k 1.6× 1.0k 1.5× 220 0.6× 139 0.5× 49 2.7k
Vilas Menon United States 30 684 0.5× 1.2k 1.6× 613 0.9× 446 1.2× 169 0.6× 97 2.7k
Jon I. Arellano United States 20 1.3k 1.0× 803 1.1× 661 1.0× 257 0.7× 469 1.8× 38 2.2k
Da‐Ting Lin United States 23 1.5k 1.2× 1.1k 1.5× 615 0.9× 248 0.7× 151 0.6× 60 2.5k

Countries citing papers authored by Peter Jedlička

Since Specialization
Citations

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

Fields of papers citing papers by Peter Jedlička

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Jedlička

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Jedlička. A scholar is included among the top collaborators of Peter Jedlička 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 Peter Jedlička. Peter Jedlička 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
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Schaffran, Barbara, et al.. (2024). A biologically inspired repair mechanism for neuronal reconstructions with a focus on human dendrites. PLoS Computational Biology. 20(2). e1011267–e1011267. 2 indexed citations
4.
Jungenitz, Tassilo, Alex D. Bird, Maren Engelhardt, et al.. (2023). Structural plasticity of the axon initial segment in rat hippocampal granule cells following high frequency stimulation and LTP induction. Frontiers in Neuroanatomy. 17. 1125623–1125623. 6 indexed citations
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Lenz, Maximilian, Christos Galanis, Geoffroy Andrieux, et al.. (2023). The Amyloid Precursor Protein Regulates Synaptic Transmission at Medial Perforant Path Synapses. Journal of Neuroscience. 43(29). 5290–5304. 7 indexed citations
6.
Vezzani, Annamaria, et al.. (2022). A mathematical model of neuroimmune interactions in epileptogenesis for discovering treatment strategies. iScience. 25(6). 104343–104343. 5 indexed citations
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Jedlička, Peter, et al.. (2022). Contributions by metaplasticity to solving the Catastrophic Forgetting Problem. Trends in Neurosciences. 45(9). 656–666. 17 indexed citations
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Harris, Sam, Paula A. Pousinha, Camilla Giudici, et al.. (2021). Aη-α and Aη-β peptides impair LTP ex vivo within the low nanomolar range and impact neuronal activity in vivo. Alzheimer s Research & Therapy. 13(1). 7 indexed citations
9.
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
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Lenz, Maximilian, et al.. (2021). All-trans retinoic acid induces synaptopodin-dependent metaplasticity in mouse dentate granule cells. eLife. 10. 13 indexed citations
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Beňušková, Ľubica, et al.. (2021). A new reduced-morphology model for CA1 pyramidal cells and its validation and comparison with other models using HippoUnit. Scientific Reports. 11(1). 7615–7615. 5 indexed citations
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Rohlmann, Astrid, et al.. (2020). Enhanced LTP of population spikes in the dentate gyrus of mice haploinsufficient for neurobeachin. Scientific Reports. 10(1). 16058–16058. 13 indexed citations
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Chen, Rongqing, et al.. (2020). NKCC-1 mediated Cl− uptake in immature CA3 pyramidal neurons is sufficient to compensate phasic GABAergic inputs. Scientific Reports. 10(1). 18399–18399. 4 indexed citations
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O’Sullivan, Gregory A., Peter Jedlička, Hongxing Chen, et al.. (2016). Forebrain-specific loss of synaptic GABAA receptors results in altered neuronal excitability and synaptic plasticity in mice. Molecular and Cellular Neuroscience. 72. 101–113. 12 indexed citations
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Karuppuchamy, Thangaraj, Pedro J. Gonzalez‐Cabrera, Gor Sarkisyan, et al.. (2016). Sphingosine-1-phosphate receptor-1 (S1P1) is expressed by lymphocytes, dendritic cells, and endothelium and modulated during inflammatory bowel disease. Mucosal Immunology. 10(1). 162–171. 98 indexed citations
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Jedlička, Peter & Thomas Deller. (2016). Understanding the role of synaptopodin and the spine apparatus in Hebbian synaptic plasticity – New perspectives and the need for computational modeling. Neurobiology of Learning and Memory. 138. 21–30. 31 indexed citations
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Jedlička, Peter, Ľubica Beňušková, & Wickliffe C. Abraham. (2015). A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent “Heterosynaptic” LTD in the Dentate Gyrus In Vivo. PLoS Computational Biology. 11(11). e1004588–e1004588. 27 indexed citations
18.
Collins, Colm B., Carol M. Aherne, Alyson Yeckes, et al.. (2013). Inhibition of N-terminal ATPase on HSP90 attenuates colitis through enhanced Treg function. Mucosal Immunology. 6(5). 960–971. 44 indexed citations
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Jedlička, Peter, Theofilos Papadopoulos, Thomas Deller, Heinrich Betz, & Stephan W. Schwarzacher. (2009). Increased network excitability and impaired induction of long-term potentiation in the dentate gyrus of collybistin-deficient mice in vivo. Molecular and Cellular Neuroscience. 41(1). 94–100. 47 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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