David N. Bowser

3.2k total citations · 1 hit paper
29 papers, 2.6k citations indexed

About

David N. Bowser is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, David N. Bowser has authored 29 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in David N. Bowser's work include Neuroscience and Neuropharmacology Research (12 papers), Adenosine and Purinergic Signaling (6 papers) and Mitochondrial Function and Pathology (5 papers). David N. Bowser is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Adenosine and Purinergic Signaling (6 papers) and Mitochondrial Function and Pathology (5 papers). David N. Bowser collaborates with scholars based in Australia, United Kingdom and United States. David N. Bowser's co-authors include Baljit S. Khakh, David A. Williams, Steven Petrou, Louise A. Harkin, Samuel F. Berkovic, Robyn H. Wallace, John C. Mulley, Ingrid E. Scheffer, Rekha G. Panchal and Tetsuhiro Minamikawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Neuroscience.

In The Last Decade

David N. Bowser

29 papers receiving 2.5k citations

Hit Papers

Mutant GABAA receptor γ2-subunit in childhood absence epi... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers

David N. Bowser
Xiaohai Wang United States
D M Chuang United States
Vladimir V. Senatorov United States
Leonard P. Miller United States
David N. Bowser
Citations per year, relative to David N. Bowser David N. Bowser (= 1×) peers Katalin A. Kékesi

Countries citing papers authored by David N. Bowser

Since Specialization
Citations

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

Fields of papers citing papers by David N. Bowser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. Bowser. 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 David N. Bowser. The network helps show where David N. Bowser may publish in the future.

Co-authorship network of co-authors of David N. Bowser

This figure shows the co-authorship network connecting the top 25 collaborators of David N. Bowser. A scholar is included among the top collaborators of David N. Bowser 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 David N. Bowser. David N. Bowser 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.
Gibbs, Marie E., et al.. (2011). ATP derived from astrocytes modulates memory in the chick. PubMed. 7(2-4). 177–186. 16 indexed citations
2.
Gibbs, Marie E. & David N. Bowser. (2010). Astrocytic adrenoceptors and learning: α1-Adrenoceptors. Neurochemistry International. 57(4). 404–410. 20 indexed citations
4.
Gibbs, Marie E. & David N. Bowser. (2009). Astrocytes and Interneurons in Memory Processing in the Chick Hippocampus: Roles for G-Coupled Protein Receptors, GABA(B) and mGluR1. Neurochemical Research. 34(10). 1712–1720. 23 indexed citations
5.
Shigetomi, Eiji, David N. Bowser, Michael V. Sofroniew, & Baljit S. Khakh. (2008). Two Forms of Astrocyte Calcium Excitability Have Distinct Effects on NMDA Receptor-Mediated Slow Inward Currents in Pyramidal Neurons. Journal of Neuroscience. 28(26). 6659–6663. 209 indexed citations
6.
Yu, Yong, Po‐Yin Chu, David N. Bowser, et al.. (2008). Mice deficient for the chromosome 21 ortholog Itsn1 exhibit vesicle-trafficking abnormalities. Human Molecular Genetics. 17(21). 3281–3290. 75 indexed citations
7.
Gibbs, Marie E., David N. Bowser, Dana S. Hutchinson, Richard Loiacono, & Roger J. Summers. (2008). Memory Processing in the Avian Hippocampus Involves Interactions between β-Adrenoceptors, Glutamate Receptors, and Metabolism. Neuropsychopharmacology. 33(12). 2831–2846. 30 indexed citations
8.
Bowser, David N. & Baljit S. Khakh. (2007). Vesicular ATP Is the Predominant Cause of Intercellular Calcium Waves in Astrocytes. The Journal of General Physiology. 129(6). 485–491. 168 indexed citations
9.
Khakh, Baljit S., James A. Fisher, Raad Nashmi, David N. Bowser, & Henry A. Lester. (2005). An Angstrom Scale Interaction between Plasma Membrane ATP-Gated P2X2and α4β2Nicotinic Channels Measured with Fluorescence Resonance Energy Transfer and Total Internal Reflection Fluorescence Microscopy. Journal of Neuroscience. 25(29). 6911–6920. 80 indexed citations
10.
Bowser, David N. & Baljit S. Khakh. (2004). ATP Excites Interneurons and Astrocytes to Increase Synaptic Inhibition in Neuronal Networks. Journal of Neuroscience. 24(39). 8606–8620. 197 indexed citations
11.
Panchal, Rekha G., et al.. (2002). Pore-Forming Proteins and their Application in Biotechnology. Current Pharmaceutical Biotechnology. 3(2). 99–115. 65 indexed citations
12.
Harkin, Louise A., David N. Bowser, Leanne M. Dibbens, et al.. (2002). Truncation of the GABAA-Receptor γ2 Subunit in a Family with Generalized Epilepsy with Febrile Seizures Plus. The American Journal of Human Genetics. 70(2). 530–536. 331 indexed citations
13.
Bowser, David N., et al.. (2001). Release of mitochondrial Ca2 via the permeability transition activates endoplasmic reticulum Ca2 uptake. Biophysical Journal. 80(1). 1 indexed citations
14.
Panchal, Rekha G., David A. Williams, Peter D. Kitchener, et al.. (2001). Proceedings of the Australian Physiological and Pharmacological Society Symposium: New Frontiers in Muscle Research
Gene transfer: manipulating and monitoring function in cells and tissues. Clinical and Experimental Pharmacology and Physiology. 28(8). 687–691. 7 indexed citations
15.
Wallace, Robyn H., Carla Marini, Steven Petrou, et al.. (2001). Mutant GABAA receptor γ2-subunit in childhood absence epilepsy and febrile seizures. Nature Genetics. 28(1). 49–52. 590 indexed citations breakdown →
16.
Wallace, Robyn H., Carla Marini, Steven Petrou, et al.. (2001). Mutant GABAAreceptor I32-subunit in childhood absence epilepsy and febrile seizures. Nature Genetics. 28(1). 49–52. 52 indexed citations
17.
Petrou, Steven, David N. Bowser, Robert A. Nicholls, et al.. (2000). Genetically Targeted Calcium Sensors Enhance The Study Of Organelle Function In Living Cells. Clinical and Experimental Pharmacology and Physiology. 27(9). 738–744. 5 indexed citations
18.
Williams, David A., David N. Bowser, & Steven Petrou. (1999). [25] Confocal Ca2+ imaging of organelles, cells, tissues and organs. Methods in enzymology on CD-ROM/Methods in enzymology. 307. 441–469. 14 indexed citations
19.
Minamikawa, Tetsuhiro, David A. Williams, David N. Bowser, & Phillip Nagley. (1999). Mitochondrial Permeability Transition and Swelling Can Occur Reversibly without Inducing Cell Death in Intact Human Cells. Experimental Cell Research. 246(1). 26–37. 156 indexed citations
20.
Bowser, David N., Tetsuhiro Minamikawa, Phillip Nagley, & David A. Williams. (1998). Role of Mitochondria in Calcium Regulation of Spontaneously Contracting Cardiac Muscle Cells. Biophysical Journal. 75(4). 2004–2014. 64 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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