Julia L. Bachman

1.9k total citations
13 papers, 1.3k citations indexed

About

Julia L. Bachman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Julia L. Bachman has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Julia L. Bachman's work include Neuroscience and Neuropharmacology Research (5 papers), Molecular Biology Techniques and Applications (4 papers) and RNA and protein synthesis mechanisms (3 papers). Julia L. Bachman is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Molecular Biology Techniques and Applications (4 papers) and RNA and protein synthesis mechanisms (3 papers). Julia L. Bachman collaborates with scholars based in United States, Australia and Italy. Julia L. Bachman's co-authors include Richard L. Huganir, Richard C. Johnson, Lenora J. Volk, Lihua Wang, Ken Sugino, Nelson Spruston, Mark S. Cembrowski, Brenda C. Shields, Benjamin Ohlstein and Terence D. Murphy and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Julia L. Bachman

13 papers receiving 1.3k citations

Peers

Julia L. Bachman
Qingming Hou United States
Lutz G.W. Hilgenberg United States
Ronald Lickteig United States
Julia L. Bachman
Citations per year, relative to Julia L. Bachman Julia L. Bachman (= 1×) peers Àlex Bayés

Countries citing papers authored by Julia L. Bachman

Since Specialization
Citations

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

Fields of papers citing papers by Julia L. Bachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia L. Bachman

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

All Works

13 of 13 papers shown
1.
Bachman, Julia L., et al.. (2025). GABAergic synapses between auditory efferent neurons and type II spiral ganglion afferent neurons in the mouse cochlea. Proceedings of the National Academy of Sciences. 122(8). e2409921122–e2409921122. 1 indexed citations
2.
Bachman, Julia L., et al.. (2023). Must It Be Lonely at the Top? Developing Leader Well-Being in Organizations. Advances in Developing Human Resources. 25(2). 73–94. 4 indexed citations
3.
Heo, Seok, Graham H. Diering, Chan Hyun Na, et al.. (2018). Identification of long-lived synaptic proteins by proteomic analysis of synaptosome protein turnover. Proceedings of the National Academy of Sciences. 115(16). E3827–E3836. 115 indexed citations
4.
Cembrowski, Mark S., Julia L. Bachman, Lihua Wang, et al.. (2016). Spatial Gene-Expression Gradients Underlie Prominent Heterogeneity of CA1 Pyramidal Neurons. Neuron. 89(2). 351–368. 216 indexed citations
5.
Jenkins, Meagan A., Julia L. Bachman, James P. Snyder, et al.. (2014). Regulation of GluA1 α-Amino-3-Hydroxy-5-Methyl-4-Isoxazolepropionic Acid Receptor Function by Protein Kinase C at Serine-818 and Threonine-840. Molecular Pharmacology. 85(4). 618–629. 25 indexed citations
6.
Perri, Valentina, Julia L. Bachman, Paola Fragapane, et al.. (2014). Phosphorylation of the AMPA receptor GluA1 subunit regulates memory load capacity. Brain Structure and Function. 221(1). 591–603. 29 indexed citations
7.
Volk, Lenora J., et al.. (2013). PKM-ζ is not required for hippocampal synaptic plasticity, learning and memory. Nature. 493(7432). 420–423. 234 indexed citations
8.
Bachman, Julia L.. (2013). Site-Directed Mutagenesis. Methods in enzymology on CD-ROM/Methods in enzymology. 529. 241–248. 58 indexed citations
9.
Bachman, Julia L.. (2013). Immunohistochemistry on Freely Floating Fixed Tissue Sections. Methods in enzymology on CD-ROM/Methods in enzymology. 533. 207–215. 15 indexed citations
10.
Bachman, Julia L.. (2013). Reverse-Transcription PCR (RT-PCR). Methods in enzymology on CD-ROM/Methods in enzymology. 530. 67–74. 81 indexed citations
11.
Bachman, Julia L.. (2013). Preparation of Slides for Microscopy from Frozen Tissue Sections. Methods in enzymology on CD-ROM/Methods in enzymology. 217–224. 4 indexed citations
12.
Rathje, Mette, Huaqiang Fang, Julia L. Bachman, et al.. (2013). AMPA receptor pHluorin-GluA2 reports NMDA receptor-induced intracellular acidification in hippocampal neurons. Proceedings of the National Academy of Sciences. 110(35). 14426–14431. 47 indexed citations
13.
Buszczak, Michael, Julia L. Bachman, Jamie L. Planck, et al.. (2006). The Carnegie Protein Trap Library: A Versatile Tool for Drosophila Developmental Studies. Genetics. 175(3). 1505–1531. 453 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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