Volker Mack

1.4k total citations
18 papers, 1.0k citations indexed

About

Volker Mack is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Volker Mack has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in Volker Mack's work include Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Volker Mack is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Volker Mack collaborates with scholars based in Germany, United States and Australia. Volker Mack's co-authors include Rolf Sprengel, Peter H. Seeburg, Ka Wan Li, August B. Smit, Jie Zhu, Yi Qin, Jakob von Engelhardt, Yael Stern-Bach, Hannah Monyer and Yinghua Zhu and has published in prestigious journals such as Science, Journal of Biological Chemistry and Neuron.

In The Last Decade

Volker Mack

18 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Volker Mack Germany 15 728 552 235 128 99 18 1.0k
Junko Motohashi Japan 16 600 0.8× 470 0.9× 154 0.7× 132 1.0× 79 0.8× 18 1.1k
Mizuki Kanemoto Japan 6 648 0.9× 379 0.7× 234 1.0× 123 1.0× 58 0.6× 11 1.0k
Karin E. Borgmann‐Winter United States 17 540 0.7× 556 1.0× 227 1.0× 81 0.6× 202 2.0× 29 1.5k
Ivar S. Stein United States 14 852 1.2× 666 1.2× 263 1.1× 118 0.9× 104 1.1× 17 1.1k
Mónica Beneyto United States 15 993 1.4× 707 1.3× 409 1.7× 71 0.6× 178 1.8× 19 1.6k
Kohtarou Konno Japan 21 739 1.0× 556 1.0× 304 1.3× 144 1.1× 117 1.2× 55 1.4k
Gail K. Seabold United States 12 677 0.9× 432 0.8× 197 0.8× 113 0.9× 71 0.7× 15 967
Cécile Bedet France 14 764 1.0× 782 1.4× 194 0.8× 58 0.5× 80 0.8× 16 1.3k
Nils Ole Dalby Denmark 19 896 1.2× 601 1.1× 179 0.8× 92 0.7× 48 0.5× 26 1.2k
Anastassios V. Tzingounis United States 15 1.3k 1.8× 945 1.7× 268 1.1× 152 1.2× 57 0.6× 16 1.6k

Countries citing papers authored by Volker Mack

Since Specialization
Citations

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

Fields of papers citing papers by Volker Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volker Mack

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

All Works

18 of 18 papers shown
1.
Wu, Hao, Sijia Hao, Chen Li, et al.. (2023). Neural adaption in midbrain GABAergic cells contributes to high-fat diet–induced obesity. Science Advances. 9(44). eadh2884–eadh2884. 10 indexed citations
2.
Jaeger, Stefan, Rolf Sprengel, Bastian Hengerer, et al.. (2022). Increasing the Excitatory Drive Rescues Excitatory/Inhibitory Imbalance and Mismatch Negativity Deficit Caused by Parvalbumin Specific GluA1 Deletion. Neuroscience. 496. 190–204. 5 indexed citations
3.
Pandya, Nikhil J., Norbert Babai, Miguel A. Gonzalez‐Lozano, et al.. (2018). Noelin1 Affects Lateral Mobility of Synaptic AMPA Receptors. Cell Reports. 24(5). 1218–1230. 33 indexed citations
4.
Tautermann, Christofer S., Florian Binder, Frank Büttner, et al.. (2018). Allosteric Activation of Striatal-Enriched Protein Tyrosine Phosphatase (STEP, PTPN5) by a Fragment-like Molecule. Journal of Medicinal Chemistry. 62(1). 306–316. 30 indexed citations
5.
Carty, Nikisha, Karsten Tillack, Christina Thiede, et al.. (2015). Characterization of HTT Inclusion Size, Location, and Timing in the zQ175 Mouse Model of Huntington´s Disease: An In Vivo High-Content Imaging Study. PLoS ONE. 10(4). e0123527–e0123527. 44 indexed citations
6.
Freudenberg, Florian, Volker Mack, Liliana E. Layer, et al.. (2012). GluA1 and its PDZ-interaction: A role in experience-dependent behavioral plasticity in the forced swim test. Neurobiology of Disease. 52. 160–167. 15 indexed citations
7.
Engelhardt, Jakob von, Volker Mack, Rolf Sprengel, et al.. (2010). CKAMP44: A Brain-Specific Protein Attenuating Short-Term Synaptic Plasticity in the Dentate Gyrus. Science. 327(5972). 1518–1522. 202 indexed citations
8.
Smith, M. A., Volker Mack, Andreas Ebneth, et al.. (2010). The Structure of Mammalian Serine Racemase. Journal of Biological Chemistry. 285(17). 12873–12881. 71 indexed citations
9.
Shimshek, Derya R., Vidar R. Jensen, Tansu Celikel, et al.. (2006). Forebrain-Specific Glutamate Receptor B Deletion Impairs Spatial Memory But Not Hippocampal Field Long-Term Potentiation. Journal of Neuroscience. 26(33). 8428–8440. 62 indexed citations
10.
Shimshek, Derya R., Thorsten Bus, Valery Grinevich, et al.. (2005). Impaired Reproductive Behavior by Lack of GluR-B Containing AMPA Receptors But Not of NMDA Receptors in Hypothalamic and Septal Neurons. Molecular Endocrinology. 20(1). 219–231. 43 indexed citations
11.
Schmitt, Wolfram, Rolf Sprengel, Volker Mack, et al.. (2005). Restoration of spatial working memory by genetic rescue of GluR-A–deficient mice. Nature Neuroscience. 8(3). 270–272. 113 indexed citations
12.
Qin, Yi, Yinghua Zhu, Joel P. Baumgart, et al.. (2005). State-dependent Ras signaling and AMPA receptor trafficking. Genes & Development. 19(17). 2000–2015. 141 indexed citations
13.
Shimshek, Derya R., Thorsten Bus, André L. Mihaljević, et al.. (2005). Enhanced Odor Discrimination and Impaired Olfactory Memory by Spatially Controlled Switch of AMPA Receptors. PLoS Biology. 3(11). e354–e354. 46 indexed citations
14.
Fritschy, Jean‐Marc, et al.. (2004). Differential GABAA receptor clustering determines GABA synapse plasticity in rat oxytocin neurons around parturition and the onset of lactation. Molecular and Cellular Neuroscience. 28(1). 128–140. 30 indexed citations
15.
Kolleker, Alexander, Jie Zhu, Yi Qin, et al.. (2003). Glutamatergic Plasticity by Synaptic Delivery of GluR-Blong-Containing AMPA Receptors. Neuron. 40(6). 1199–1212. 65 indexed citations
16.
Schwarz, Martin K., Verena Pawlak, Pavel Osten, et al.. (2001). Dominance of the lurcher mutation in heteromeric kainate and AMPA receptor channels. European Journal of Neuroscience. 14(5). 861–868. 16 indexed citations
17.
Mack, Volker, Nail Burnashev, Katharina Kaiser, et al.. (2001). Conditional Restoration of Hippocampal Synaptic Potentiation in GluR-A-Deficient Mice. Science. 292(5526). 2501–2504. 104 indexed citations
18.
Thompson, J. Will, et al.. (1980). The gastric antisecretory and antiulcer activity of MK-447, an enhancer of prostaglandin synthesis. Life Sciences. 27(25-26). 2483–2487. 2 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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