Daniel R. Storm

28.8k total citations · 5 hit papers
260 papers, 22.9k citations indexed

About

Daniel R. Storm is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Daniel R. Storm has authored 260 papers receiving a total of 22.9k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Molecular Biology, 132 papers in Cellular and Molecular Neuroscience and 34 papers in Cognitive Neuroscience. Recurrent topics in Daniel R. Storm's work include Neuroscience and Neuropharmacology Research (74 papers), Receptor Mechanisms and Signaling (54 papers) and Olfactory and Sensory Function Studies (33 papers). Daniel R. Storm is often cited by papers focused on Neuroscience and Neuropharmacology Research (74 papers), Receptor Mechanisms and Signaling (54 papers) and Olfactory and Sensory Function Studies (33 papers). Daniel R. Storm collaborates with scholars based in United States, China and France. Daniel R. Storm's co-authors include Soren Impey, Zhengui Xia, Karl Obrietan, Scott T. Wong, Guy C.‐K. Chan, D C LaPorte, Gary A. Wayman, Steven Poser, Hongbing Wang and Paul E. Swanson and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel R. Storm

259 papers receiving 22.3k citations

Hit Papers

Cross Talk between ERK and PKA Is Required for Ca... 1977 2026 1993 2009 1998 1977 1999 1996 1980 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel R. Storm United States 86 12.2k 11.4k 3.0k 2.5k 1.9k 260 22.9k
Joël Bockaert France 89 17.9k 1.5× 19.6k 1.7× 2.4k 0.8× 3.8k 1.5× 1.4k 0.7× 410 30.5k
Masaya Tohyama Japan 80 11.6k 0.9× 10.6k 0.9× 1.5k 0.5× 3.9k 1.6× 1.0k 0.5× 516 24.2k
Kenji Sakimura Japan 72 9.6k 0.8× 11.7k 1.0× 3.4k 1.1× 1.7k 0.7× 1.2k 0.6× 387 19.2k
Raul R. Gainetdinov Russia 79 15.1k 1.2× 17.8k 1.6× 3.4k 1.1× 2.2k 0.9× 1.7k 0.9× 333 28.2k
Frank R. Sharp United States 87 12.3k 1.0× 7.3k 0.6× 2.3k 0.8× 3.9k 1.6× 1.5k 0.8× 376 27.7k
Jean‐Marc Fritschy Switzerland 88 11.3k 0.9× 19.8k 1.7× 6.2k 2.1× 2.8k 1.1× 1.2k 0.6× 291 26.8k
Christine M. Gall United States 79 6.2k 0.5× 12.3k 1.1× 3.4k 1.1× 2.1k 0.8× 1.7k 0.9× 257 19.2k
Masayoshi Mishina Japan 76 12.9k 1.1× 13.5k 1.2× 2.6k 0.9× 1.6k 0.6× 1.0k 0.5× 267 20.8k
Jon Storm‐Mathisen Norway 76 9.2k 0.8× 16.8k 1.5× 3.8k 1.3× 2.9k 1.2× 512 0.3× 204 21.8k
Rolf Sprengel Germany 82 11.0k 0.9× 12.6k 1.1× 4.7k 1.6× 1.6k 0.6× 2.5k 1.3× 232 23.0k

Countries citing papers authored by Daniel R. Storm

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Storm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Storm. 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 Daniel R. Storm. The network helps show where Daniel R. Storm may publish in the future.

Co-authorship network of co-authors of Daniel R. Storm

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Storm. A scholar is included among the top collaborators of Daniel R. Storm 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 Daniel R. Storm. Daniel R. Storm 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.
Chen, Xuanmao, Carlos Sindreu, Lu Song, et al.. (2019). Dynamics of a hippocampal neuronal ensemble encoding trace fear memory revealed by in vivo Ca2+ imaging. PLoS ONE. 14(7). e0219152–e0219152. 9 indexed citations
2.
Wang, Wenbin, Lu Song, Tan Li, et al.. (2015). Inducible Activation of ERK5 MAP Kinase Enhances Adult Neurogenesis in the Olfactory Bulb and Improves Olfactory Function. Journal of Neuroscience. 35(20). 7833–7849. 24 indexed citations
3.
Chen, Xuanmao, et al.. (2015). Ablation of Type III Adenylyl Cyclase in Mice Causes Reduced Neuronal Activity, Altered Sleep Pattern, and Depression-like Phenotypes. Biological Psychiatry. 80(11). 836–848. 56 indexed citations
4.
Phan, Trongha, et al.. (2014). Genetic disruption of the core circadian clock impairs hippocampus-dependent memory. Learning & Memory. 21(8). 417–423. 93 indexed citations
5.
Corder, Gregory, Suzanne Doolen, Renée R. Donahue, et al.. (2013). Constitutive μ-Opioid Receptor Activity Leads to Long-Term Endogenous Analgesia and Dependence. Science. 341(6152). 1394–1399. 184 indexed citations
6.
Chen, Xuanmao, Zhengui Xia, & Daniel R. Storm. (2013). Electroolfactogram (EOG) Recording in the Mouse Main Olfactory Epithelium. BIO-PROTOCOL. 3(11). 2 indexed citations
8.
Horowitz, Lisa F., et al.. (2012). Large-scale screening of olfactory sensory neurons with an integrated microfluidic platform.
9.
Pan, Yung-Wei, Junhui Zou, Wenbin Wang, et al.. (2012). Inducible and Conditional Deletion of Extracellular Signal-regulated Kinase 5 Disrupts Adult Hippocampal Neurogenesis. Journal of Biological Chemistry. 287(28). 23306–23317. 36 indexed citations
10.
Pan, Yung-Wei, Guy C.‐K. Chan, Chay T. Kuo, Daniel R. Storm, & Zhengui Xia. (2012). Inhibition of Adult Neurogenesis by Inducible and Targeted Deletion of ERK5 Mitogen-Activated Protein Kinase Specifically in Adult Neurogenic Regions Impairs Contextual Fear Extinction and Remote Fear Memory. Journal of Neuroscience. 32(19). 6444–6455. 110 indexed citations
11.
Shimizu, Kimiko, Scott M. Mackenzie, & Daniel R. Storm. (2009). SCOP/PHLPP and its functional role in the brain. Molecular BioSystems. 6(1). 38–43. 27 indexed citations
12.
Zhang, Ming, Changjong Moon, Guy C.‐K. Chan, et al.. (2008). Ca-Stimulated Type 8 Adenylyl Cyclase Is Required for Rapid Acquisition of Novel Spatial Information and for Working/Episodic-Like Memory. Journal of Neuroscience. 28(18). 4736–4744. 61 indexed citations
13.
Wang, Zhenshan, et al.. (2006). Pheromone Detection in Male Mice Depends on Signaling through the Type 3 Adenylyl Cyclase in the Main Olfactory Epithelium. Journal of Neuroscience. 26(28). 7375–7379. 119 indexed citations
14.
Hansen, Stacey, et al.. (2005). The dosage of the neuroD2 transcription factor regulates amygdala development and emotional learning. Proceedings of the National Academy of Sciences. 102(41). 14877–14882. 37 indexed citations
15.
Tosini, Gianluca, et al.. (2003). Gating of the cAMP Signaling Cascade by the Circadian Clock in Mammalian Retina. Investigative Ophthalmology & Visual Science. 44(13). 3268–3268. 1 indexed citations
16.
Obrietan, Karl, Soren Impey, & Daniel R. Storm. (2002). cAMP Response Element-Mediated Gene Expression in Transgenic Reporter Gene Mouse Strain. Methods in enzymology on CD-ROM/Methods in enzymology. 345. 570–584. 3 indexed citations
17.
Impey, Soren, Karl Obrietan, & Daniel R. Storm. (1999). Making New Connections. Neuron. 23(1). 11–14. 547 indexed citations breakdown →
18.
Storm, Daniel R.. (1996). Regulatory properties of the mammalien adenylyl cyclases. Springer eBooks. 11 indexed citations
19.
Impey, Soren, Melanie D. Mark, Enrique C. Villacres, et al.. (1996). Induction of CRE-Mediated Gene Expression by Stimuli That Generate Long-Lasting LTP in Area CA1 of the Hippocampus. Neuron. 16(5). 973–982. 501 indexed citations breakdown →

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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