Julia Klueva

448 total citations
8 papers, 340 citations indexed

About

Julia Klueva is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Julia Klueva has authored 8 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Julia Klueva's work include Neuroscience and Neuropharmacology Research (7 papers), Photoreceptor and optogenetics research (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Julia Klueva is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Photoreceptor and optogenetics research (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Julia Klueva collaborates with scholars based in Germany, France and United Kingdom. Julia Klueva's co-authors include Martin Heine, Thomas Munsch, Eckart D. Gundelfinger, Ulrich Thomas, Daniel Choquet, Andreas Voigt, Eric Hosy, Anna Fejtová, Johannes Kohl and J. Simon Wiegert and has published in prestigious journals such as Nature Communications, Neuron and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Julia Klueva

8 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Klueva Germany 8 216 199 93 53 42 8 340
Hirokazu Sakamoto Japan 9 302 1.4× 279 1.4× 112 1.2× 75 1.4× 57 1.4× 12 475
Hyung‐Bae Kwon United States 8 209 1.0× 199 1.0× 62 0.7× 69 1.3× 21 0.5× 20 420
Katalin Czöndör France 8 250 1.2× 206 1.0× 90 1.0× 45 0.8× 36 0.9× 10 359
Vedakumar Tatavarty United States 10 217 1.0× 290 1.5× 83 0.9× 88 1.7× 62 1.5× 10 483
Sandrine Picaud France 6 255 1.2× 207 1.0× 33 0.4× 68 1.3× 31 0.7× 10 411
Benjamin Compans France 9 292 1.4× 222 1.1× 66 0.7× 82 1.5× 104 2.5× 10 476
Carolien van Rijnsoever Switzerland 4 149 0.7× 117 0.6× 28 0.3× 53 1.0× 85 2.0× 4 329
Vanessa A. Gutzeit United States 9 268 1.2× 220 1.1× 54 0.6× 55 1.0× 15 0.4× 12 414
Jeffrey R. Cottrell United States 12 199 0.9× 344 1.7× 73 0.8× 62 1.2× 52 1.2× 19 513
Martijn Roelandse Switzerland 8 169 0.8× 143 0.7× 120 1.3× 35 0.7× 20 0.5× 11 340

Countries citing papers authored by Julia Klueva

Since Specialization
Citations

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

Fields of papers citing papers by Julia Klueva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Klueva

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

All Works

8 of 8 papers shown
1.
Weiss, Eva‐Maria, et al.. (2021). Aβ1-16 controls synaptic vesicle pools at excitatory synapses via cholinergic modulation of synapsin phosphorylation. Cellular and Molecular Life Sciences. 78(11). 4973–4992. 12 indexed citations
2.
Hosy, Eric, Johannes Kohl, Julia Klueva, et al.. (2015). Mobility of Calcium Channels in the Presynaptic Membrane. Neuron. 86(3). 672–679. 80 indexed citations
3.
Biermann, Barbara, Julia Klueva, Markus Missler, et al.. (2014). Imaging of molecular surface dynamics in brain slices using single-particle tracking. Nature Communications. 5(1). 3024–3024. 57 indexed citations
4.
Davydova, Daria, Claudia Marini, Claire King, et al.. (2014). Bassoon Specifically Controls Presynaptic P/Q-type Ca2+ Channels via RIM-Binding Protein. Neuron. 82(1). 181–194. 125 indexed citations
5.
Klueva, Julia, Eckart D. Gundelfinger, Renato Frischknecht, & Martin Heine. (2014). Intracellular Ca 2+ and not the extracellular matrix determines surface dynamics of AMPA-type glutamate receptors on aspiny neurons. Philosophical Transactions of the Royal Society B Biological Sciences. 369(1654). 20130605–20130605. 12 indexed citations
6.
Klueva, Julia, Ana D. de Lima, Susanne Meis, Thomas Voigt, & Thomas Munsch. (2011). Hyperpolarization-Activated Cation Current Contributes to Spontaneous Network Activity in Developing Neocortical Cultures. Neurosignals. 20(1). 35–47. 8 indexed citations
7.
Klueva, Julia, Susanne Meis, Ana D. de Lima, Thomas Voigt, & Thomas Munsch. (2008). Developmental downregulation of GABAergic drive parallels formation of functional synapses in cultured mouse neocortical networks. Developmental Neurobiology. 68(7). 934–949. 19 indexed citations
8.
Klueva, Julia, Thomas Munsch, Doris Albrecht, & Hans‐Christian Pape. (2003). Synaptic and non‐synaptic mechanisms of amygdala recruitment into temporolimbic epileptiform activities. European Journal of Neuroscience. 18(10). 2779–2791. 27 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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