Julie M. Miwa

2.8k total citations
37 papers, 2.2k citations indexed

About

Julie M. Miwa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Julie M. Miwa has authored 37 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 24 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Julie M. Miwa's work include Nicotinic Acetylcholine Receptors Study (32 papers), Neuroscience and Neuropharmacology Research (18 papers) and Receptor Mechanisms and Signaling (17 papers). Julie M. Miwa is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (32 papers), Neuroscience and Neuropharmacology Research (18 papers) and Receptor Mechanisms and Signaling (17 papers). Julie M. Miwa collaborates with scholars based in United States, Germany and Switzerland. Julie M. Miwa's co-authors include Henry A. Lester, Nathaniel Heintz, Inés Ibáñez-Tallon, Takao K. Hensch, Hirofumi Morishita, Rahul Srinivasan, Gregg W. Crabtree, Robert Freedman, Cheng Xiao and Rigo Pantoja and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Julie M. Miwa

37 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julie M. Miwa United States 21 1.7k 1.0k 227 187 181 37 2.2k
Maria‐Clemencia Hernandez Switzerland 21 1.5k 0.8× 678 0.7× 219 1.0× 200 1.1× 213 1.2× 34 2.0k
Christopher Kushmerick Brazil 23 1.1k 0.6× 811 0.8× 360 1.6× 149 0.8× 240 1.3× 57 1.8k
Hailing Su United States 23 1.0k 0.6× 1.3k 1.2× 438 1.9× 56 0.3× 181 1.0× 32 1.9k
Sukumar Vijayaraghavan United States 23 1.7k 1.0× 1.1k 1.1× 177 0.8× 245 1.3× 42 0.2× 36 2.3k
Peter B. Sargent United States 21 2.3k 1.3× 1.2k 1.1× 137 0.6× 263 1.4× 68 0.4× 34 2.9k
René Anand United States 22 1.6k 0.9× 610 0.6× 68 0.3× 242 1.3× 84 0.5× 33 2.0k
Kent T. Keyser United States 29 1.9k 1.1× 1.4k 1.3× 162 0.7× 157 0.8× 36 0.2× 63 2.5k
Amy W. Lasek United States 28 812 0.5× 833 0.8× 163 0.7× 72 0.4× 188 1.0× 69 1.9k
Pierre Vincent France 24 1.6k 0.9× 1.3k 1.3× 378 1.7× 279 1.5× 69 0.4× 51 2.5k

Countries citing papers authored by Julie M. Miwa

Since Specialization
Citations

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

Fields of papers citing papers by Julie M. Miwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie M. Miwa

This figure shows the co-authorship network connecting the top 25 collaborators of Julie M. Miwa. A scholar is included among the top collaborators of Julie M. Miwa 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 Julie M. Miwa. Julie M. Miwa 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
1.
Anderson, K., et al.. (2025). Abnormal response to chronic social defeat stress and fear extinction in a mouse model of Lynx2-based cholinergic dysregulation. Frontiers in Neuroscience. 19. 1466166–1466166. 1 indexed citations
2.
Miwa, Julie M., et al.. (2023). Lynx1 and the family of endogenous mammalian neurotoxin-like proteins and their roles in modulating nAChR function. Pharmacological Research. 194. 106845–106845. 6 indexed citations
3.
Miwa, Julie M., et al.. (2022). Analysis of Protein-Protein Interactions for Intermolecular Bond Prediction. Molecules. 27(19). 6178–6178. 19 indexed citations
4.
Cao, Wenpeng, K. Anderson, Paul Whiteaker, et al.. (2021). Biophysical characterization of lynx‐nicotinic receptor interactions using atomic force microscopy. FASEB BioAdvances. 3(12). 1034–1042. 5 indexed citations
5.
Miwa, Julie M., et al.. (2021). DiffBond: A Method for Predicting Intermolecular Bond Formation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2021. 2574–2586. 1 indexed citations
6.
Miwa, Julie M.. (2020). Lynx1 prototoxins: critical accessory proteins of neuronal nicotinic acetylcholine receptors. Current Opinion in Pharmacology. 56. 46–51. 13 indexed citations
7.
Miwa, Julie M., et al.. (2019). Neural layer self-assembly in geometrically confined rat and human 3D cultures. Biofabrication. 11(4). 45011–45011. 11 indexed citations
8.
9.
Xiao, Cheng, Julie M. Miwa, Brandon J. Henderson, et al.. (2015). Nicotinic Receptor Subtype-Selective Circuit Patterns in the Subthalamic Nucleus. Journal of Neuroscience. 35(9). 3734–3746. 28 indexed citations
10.
Miwa, Julie M. & Andreas Walz. (2012). Enhancement in Motor Learning through Genetic Manipulation of the Lynx1 Gene. PLoS ONE. 7(11). e43302–e43302. 29 indexed citations
11.
Srinivasan, Rahul, Christopher I. Richards, Cheng Xiao, et al.. (2012). Pharmacological Chaperoning of Nicotinic Acetylcholine Receptors Reduces the Endoplasmic Reticulum Stress Response. Molecular Pharmacology. 81(6). 759–769. 57 indexed citations
12.
Lester, Henry A., Julie M. Miwa, & Rahul Srinivasan. (2012). Psychiatric Drugs Bind to Classical Targets Within Early Exocytotic Pathways: Therapeutic Effects. Biological Psychiatry. 72(11). 907–915. 45 indexed citations
13.
Richards, Christopher I., Rahul Srinivasan, Cheng Xiao, et al.. (2011). Trafficking of α4* Nicotinic Receptors Revealed by Superecliptic Phluorin. Journal of Biological Chemistry. 286(36). 31241–31249. 47 indexed citations
14.
Miwa, Julie M., Robert Freedman, & Henry A. Lester. (2011). Neural Systems Governed by Nicotinic Acetylcholine Receptors: Emerging Hypotheses. Neuron. 70(1). 20–33. 167 indexed citations
15.
Srinivasan, Rahul, Rigo Pantoja, Fraser J. Moss, et al.. (2010). Nicotine up-regulates α4β2 nicotinic receptors and ER exit sites via stoichiometry-dependent chaperoning. The Journal of General Physiology. 137(1). 59–79. 137 indexed citations
16.
Drenan, Ryan M., Sharon R. Grady, Paul Whiteaker, et al.. (2008). In Vivo Activation of Midbrain Dopamine Neurons via Sensitized, High-Affinity α6∗ Nicotinic Acetylcholine Receptors. Neuron. 60(1). 123–136. 168 indexed citations
17.
Miwa, Julie M., Tanya R. Stevens, Sarah L. King, et al.. (2006). The Prototoxin lynx1 Acts on Nicotinic Acetylcholine Receptors to Balance Neuronal Activity and Survival In Vivo. Neuron. 51(5). 587–600. 125 indexed citations
18.
Ibáñez-Tallon, Inés, Hua Wen, Julie M. Miwa, et al.. (2004). Tethering Naturally Occurring Peptide Toxins for Cell-Autonomous Modulation of Ion Channels and Receptors In Vivo. Neuron. 43(3). 305–311. 72 indexed citations
19.
Ibáñez-Tallon, Inés, Julie M. Miwa, Hailong Wang, et al.. (2002). Novel Modulation of Neuronal Nicotinic Acetylcholine Receptors by Association with the Endogenous Prototoxin lynx1. Neuron. 33(6). 893–903. 163 indexed citations
20.
Miwa, Julie M., Inés Ibáñez-Tallon, Gregg W. Crabtree, et al.. (1999). lynx1, an Endogenous Toxin-like Modulator of Nicotinic Acetylcholine Receptors in the Mammalian CNS. Neuron. 23(1). 105–114. 244 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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