David Chapman

504 total citations
14 papers, 413 citations indexed

About

David Chapman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, David Chapman has authored 14 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in David Chapman's work include Neuroscience and Neuropharmacology Research (6 papers), Medical Imaging Techniques and Applications (3 papers) and Photoreceptor and optogenetics research (2 papers). David Chapman is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Medical Imaging Techniques and Applications (3 papers) and Photoreceptor and optogenetics research (2 papers). David Chapman collaborates with scholars based in United States, Canada and Germany. David Chapman's co-authors include Robert Greene, Kristen A. Keefe, Karen S. Wilcox, Raymond P. Kesner, Glen R. Hanson, Tarek K. Rajji, Howard Eichenbaum, Dario Brambilla, Juan A. Varela and Silke Hirsch and has published in prestigious journals such as Neuron, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

David Chapman

14 papers receiving 401 citations

Peers

David Chapman
Tarik Dahoun United Kingdom
Candace Andersson United States
Allyson Gage United States
Antonia Dow United States
David Lindenbach United States
Amanda E. Hernan United States
David Chapman
Citations per year, relative to David Chapman David Chapman (= 1×) peers Jéssica Rosa

Countries citing papers authored by David Chapman

Since Specialization
Citations

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

Fields of papers citing papers by David Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Chapman

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

All Works

14 of 14 papers shown
1.
Chapman, David, et al.. (2015). Fuelling financial literacy: estimating the impact of youth entrepreneurship training in Tanzania. Journal of Development Effectiveness. 8(2). 234–256. 18 indexed citations
2.
Chapman, David, et al.. (2014). Optimization of tomotherapy treatment planning for patients with bilateral hip prostheses. Radiation Oncology. 9(1). 43–43. 15 indexed citations
3.
Chapman, David, Rob Barnett, & Slav Yartsev. (2014). Helical tomotherapy quality assurance with ArcCHECK. Medical dosimetry. 39(2). 159–162. 3 indexed citations
4.
Tran, Alexandre, et al.. (2014). 121 Impact of Scribes Upon Emergency Physician Self-Assessed Authenticity. Annals of Emergency Medicine. 64(4). S44–S44. 7 indexed citations
5.
Pastuzyn, Elissa D., David Chapman, Karen S. Wilcox, & Kristen A. Keefe. (2011). Altered Learning and Arc-Regulated Consolidation of Learning in Striatum by Methamphetamine-Induced Neurotoxicity. Neuropsychopharmacology. 37(4). 885–895. 22 indexed citations
6.
Varela, Juan A., et al.. (2009). D1/D5Modulation of Synaptic NMDA Receptor Currents. Journal of Neuroscience. 29(10). 3109–3119. 42 indexed citations
7.
Rajji, Tarek K., David Chapman, Howard Eichenbaum, & Robert Greene. (2006). The Role of CA3 Hippocampal NMDA Receptors in Paired Associate Learning. Journal of Neuroscience. 26(3). 908–915. 86 indexed citations
8.
Brambilla, Dario, David Chapman, & Robert Greene. (2005). Adenosine Mediation of Presynaptic Feedback Inhibition of Glutamate Release. Neuron. 46(2). 275–283. 58 indexed citations
9.
Chapman, David, Kristen A. Keefe, & Karen S. Wilcox. (2003). Evidence for Functionally Distinct Synaptic NMDA Receptors in Ventromedial Versus Dorsolateral Striatum. Journal of Neurophysiology. 89(1). 69–80. 56 indexed citations
10.
Chapman, David, et al.. (2003). Diagnostic Musculoskeletal Ultrasound for Emergency Physicians. Emergency Medicine News. 25(10). 60–60. 2 indexed citations
11.
Chapman, David, Glen R. Hanson, Raymond P. Kesner, & Kristen A. Keefe. (2001). Long-Term Changes in Basal Ganglia Function after a Neurotoxic Regimen of Methamphetamine. Journal of Pharmacology and Experimental Therapeutics. 296(2). 520–527. 92 indexed citations
12.
Garcia, E V, David Chapman, J Areeda, et al.. (1984). Accuracy of rotational tomography for predicting absolute Tl-201 concentrations. 25(5). 70. 3 indexed citations
13.
Chapman, David. (1983). Retailing Human Organs under the Uniform Commercial Code, 16 J. Marshall L. Rev. 393 (1983). ˜The œJohn Marshall law review. 16(2). 6. 1 indexed citations
14.
Chapman, David. (1983). Retailing human organs under the Uniform Commercial Code.. PubMed. 16(2). 393–417. 8 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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