Alexei M. Bygrave

1.1k total citations
17 papers, 617 citations indexed

About

Alexei M. Bygrave is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Alexei M. Bygrave has authored 17 papers receiving a total of 617 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 7 papers in Cognitive Neuroscience. Recurrent topics in Alexei M. Bygrave's work include Neuroscience and Neuropharmacology Research (12 papers), Memory and Neural Mechanisms (4 papers) and Photoreceptor and optogenetics research (3 papers). Alexei M. Bygrave is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Memory and Neural Mechanisms (4 papers) and Photoreceptor and optogenetics research (3 papers). Alexei M. Bygrave collaborates with scholars based in United States, Germany and United Kingdom. Alexei M. Bygrave's co-authors include Andrew C. Lin, Alix de Calignon, Tzumin Lee, Gero Miesenböck, Dennis Kätzel, David M. Bannerman, Dimitri M. Kullmann, Amy R. Wolff, Richard C. Johnson and Richard L. Huganir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Nature Neuroscience.

In The Last Decade

Alexei M. Bygrave

16 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexei M. Bygrave United States 12 440 204 175 112 54 17 617
Ethan B. Richman United States 6 445 1.0× 162 0.8× 358 2.0× 93 0.8× 54 1.0× 7 768
Jianzhi Zeng China 8 543 1.2× 269 1.3× 154 0.9× 99 0.9× 71 1.3× 12 801
Zhifeng Yue United States 15 675 1.5× 239 1.2× 392 2.2× 185 1.7× 70 1.3× 21 1.3k
Lianzhang Wang China 14 461 1.0× 197 1.0× 206 1.2× 115 1.0× 52 1.0× 15 646
Lisa C. Lyons United States 23 676 1.5× 217 1.1× 435 2.5× 87 0.8× 53 1.0× 48 1.5k
Amalia Floriou‐Servou Switzerland 10 189 0.4× 110 0.5× 221 1.3× 62 0.6× 57 1.1× 13 566
Yichun Shuai United States 10 400 0.9× 137 0.7× 127 0.7× 135 1.2× 76 1.4× 17 523
Matthew D. Whim United States 19 589 1.3× 327 1.6× 119 0.7× 99 0.9× 39 0.7× 26 845
Janusz Borycz United States 12 655 1.5× 435 2.1× 101 0.6× 48 0.4× 25 0.5× 15 1.1k
Francisco Luongo United States 8 384 0.9× 154 0.8× 311 1.8× 70 0.6× 32 0.6× 8 594

Countries citing papers authored by Alexei M. Bygrave

Since Specialization
Citations

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

Fields of papers citing papers by Alexei M. Bygrave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexei M. Bygrave

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

All Works

17 of 17 papers shown
1.
Goldschmidt, Hana L., Santosh Renuse, Jevon Cutler, et al.. (2025). Dynamic extracellular interactions with AMPA receptors. Proceedings of the National Academy of Sciences. 122(47). e2517436122–e2517436122.
2.
Heo, Seok, et al.. (2023). Experience-Induced Remodeling of the Hippocampal Post-synaptic Proteome and Phosphoproteome. Molecular & Cellular Proteomics. 22(11). 100661–100661. 4 indexed citations
3.
Bygrave, Alexei M., Hana L. Goldschmidt, Richard C. Johnson, et al.. (2023). Btbd11 supports cell-type-specific synaptic function. Cell Reports. 42(6). 112591–112591. 3 indexed citations
4.
Goldschmidt, Hana L., Brendan N. Lilley, Alexei M. Bygrave, et al.. (2022). Differential expression patterns of phospholipase D isoforms 1 and 2 in the mammalian brain and retina. Journal of Lipid Research. 63(8). 100247–100247. 7 indexed citations
5.
Graves, Austin R., Richard H. Roth, Han L. Tan, et al.. (2021). Visualizing synaptic plasticity in vivo by large-scale imaging of endogenous AMPA receptors. eLife. 10. 40 indexed citations
6.
Fang, Huaqiang, Alexei M. Bygrave, Richard H. Roth, Richard C. Johnson, & Richard L. Huganir. (2021). An optimized CRISPR/Cas9 approach for precise genome editing in neurons. eLife. 10. 49 indexed citations
7.
Bygrave, Alexei M., et al.. (2021). Lack of redundancy between electrophysiological measures of long-range neuronal communication. BMC Biology. 19(1). 24–24. 11 indexed citations
8.
Tan, Han L., et al.. (2020). Tyrosine phosphorylation of the AMPA receptor subunit GluA2 gates homeostatic synaptic plasticity. Proceedings of the National Academy of Sciences. 117(9). 4948–4958. 22 indexed citations
9.
Kätzel, Dennis, Amy R. Wolff, Alexei M. Bygrave, & David M. Bannerman. (2020). Hippocampal Hyperactivity as a Druggable Circuit-Level Origin of Aberrant Salience in Schizophrenia. Frontiers in Pharmacology. 11. 486811–486811. 34 indexed citations
10.
Bygrave, Alexei M., Simonas Masiulis, Dimitri M. Kullmann, David M. Bannerman, & Dennis Kätzel. (2019). Gene-Environment Interaction in a Conditional NMDAR-Knockout Model of Schizophrenia. Frontiers in Behavioral Neuroscience. 12. 332–332. 5 indexed citations
11.
Bygrave, Alexei M., Amy R. Wolff, Rolf Sprengel, et al.. (2019). Hippocampal–prefrontal coherence mediates working memory and selective attention at distinct frequency bands and provides a causal link between schizophrenia and its risk gene GRIA1. Translational Psychiatry. 9(1). 142–142. 53 indexed citations
12.
Bygrave, Alexei M., et al.. (2019). Can N-Methyl-D-Aspartate Receptor Hypofunction in Schizophrenia Be Localized to an Individual Cell Type?. Frontiers in Psychiatry. 10. 835–835. 23 indexed citations
13.
Wolff, Amy R., Alexei M. Bygrave, David J. Sanderson, et al.. (2018). Optogenetic induction of the schizophrenia-related endophenotype of ventral hippocampal hyperactivity causes rodent correlates of positive and cognitive symptoms. Scientific Reports. 8(1). 12871–12871. 29 indexed citations
14.
Fiuza, María, Christine M. Rostosky, Alexei M. Bygrave, et al.. (2017). PICK1 regulates AMPA receptor endocytosis via direct interactions with AP2 α-appendage and dynamin. The Journal of Cell Biology. 216(10). 3323–3338. 49 indexed citations
15.
Boerner, Thomas, Alexei M. Bygrave, Jingkai Chen, et al.. (2017). The group II metabotropic glutamate receptor agonist LY354740 and the D2 receptor antagonist haloperidol reduce locomotor hyperactivity but fail to rescue spatial working memory in GluA1 knockout mice. European Journal of Neuroscience. 45(7). 912–921. 11 indexed citations
16.
Bygrave, Alexei M., Simonas Masiulis, Elizabeth Nicholson, et al.. (2016). Knockout of NMDA-receptors from parvalbumin interneurons sensitizes to schizophrenia-related deficits induced by MK-801. Translational Psychiatry. 6(4). e778–e778. 84 indexed citations
17.
Lin, Andrew C., Alexei M. Bygrave, Alix de Calignon, Tzumin Lee, & Gero Miesenböck. (2014). Sparse, decorrelated odor coding in the mushroom body enhances learned odor discrimination. Nature Neuroscience. 17(4). 559–568. 193 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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