Michael I. Daw

1.1k total citations
17 papers, 924 citations indexed

About

Michael I. Daw is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Michael I. Daw has authored 17 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Michael I. Daw's work include Neuroscience and Neuropharmacology Research (13 papers), Neural dynamics and brain function (5 papers) and Photoreceptor and optogenetics research (5 papers). Michael I. Daw is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Neural dynamics and brain function (5 papers) and Photoreceptor and optogenetics research (5 papers). Michael I. Daw collaborates with scholars based in United Kingdom, United States and China. Michael I. Daw's co-authors include John Isaac, Chris J. McBain, Michael C. Ashby, Graham L. Collingridge, Ramesh Chittajallu, Zuner A. Bortolotto, Ludovic Tricoire, Fabrice Duprat, Kumlesh K. Dev and Jeremy M. Henley and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Michael I. Daw

15 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael I. Daw United Kingdom	11	790	423	407	131	104	17	924
Vivek Mahadevan Canada	19	779 1.0×	491 1.2×	389 1.0×	129 1.0×	47 0.5×	24	1.0k
Ricardo Scott United Kingdom	14	857 1.1×	404 1.0×	401 1.0×	106 0.8×	96 0.9×	21	1.0k
Douglas S.F. Ling United States	12	626 0.8×	373 0.9×	287 0.7×	71 0.5×	81 0.8×	20	821
Graham L. Collingridge United Kingdom	12	808 1.0×	463 1.1×	337 0.8×	114 0.9×	63 0.6×	12	941
Rosalina Fonseca Portugal	10	571 0.7×	340 0.8×	356 0.9×	87 0.7×	109 1.0×	17	819
Gail K. Seabold United States	12	677 0.9×	432 1.0×	197 0.5×	113 0.9×	160 1.5×	15	967
Ivan Marchionni Italy	16	750 0.9×	277 0.7×	446 1.1×	110 0.8×	57 0.5×	20	979
Carl Weitlauf United States	8	596 0.8×	446 1.1×	282 0.7×	112 0.9×	45 0.4×	11	884
Jason C. Wester United States	12	711 0.9×	250 0.6×	496 1.2×	157 1.2×	31 0.3×	19	944
Ramil Afzalov Finland	11	609 0.8×	472 1.1×	183 0.4×	83 0.6×	44 0.4×	16	840

Countries citing papers authored by Michael I. Daw

Since Specialization

Citations

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

Fields of papers citing papers by Michael I. Daw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael I. Daw. 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 Michael I. Daw. The network helps show where Michael I. Daw may publish in the future.

Co-authorship network of co-authors of Michael I. Daw

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

All Works

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17 of 17 papers shown

Lee, Christine, Michael I. Daw, Sajjad Hussain, et al.. (2024). Evaluating the student experience at UK-China joint institutes. Frontiers in Education. 9.

Manuel, Martine, Michael Molinek, Ross Dobie, et al.. (2022). Pax6 limits the competence of developing cerebral cortical cells to respond to inductive intercellular signals. PLoS Biology. 20(9). e3001563–e3001563. 14 indexed citations

Daw, Michael I.. (2022). Mark distribution is affected by the type of assignment but not by features of the marking scheme in a biomedical sciences department of a UK university. Assessment & Evaluation in Higher Education. 48(6). 806–819. 2 indexed citations

Luz, Liliana L., Stephen P. Currie, & Michael I. Daw. (2017). Alterations in the properties of neonatal thalamocortical synapses with time in in vitro slices. PLoS ONE. 12(2). e0171897–e0171897. 1 indexed citations

Currie, Stephen P., Liliana L. Luz, Sam A. Booker, et al.. (2017). Reduced local input to fast‐spiking interneurons in the somatosensory cortex in the GABA_A γ2 R43Q mouse model of absence epilepsy. Epilepsia. 58(4). 597–607. 7 indexed citations

Currie, Stephen P., Liliana L. Luz, Seth G. N. Grant, et al.. (2016). Altered thalamocortical development in the SAP102 knockout model of intellectual disability. Human Molecular Genetics. 25(18). 4052–4061. 10 indexed citations

Brown, Sarah M., et al.. (2014). Experience-Dependent, Layer-Specific Development of Divergent Thalamocortical Connectivity. Cerebral Cortex. 25(8). 2255–2266. 22 indexed citations

Daw, Michael I., Kenneth A. Pelkey, Ramesh Chittajallu, & Chris J. McBain. (2010). Presynaptic Kainate Receptor Activation Preserves Asynchronous GABA Release Despite the Reduction in Synchronous Release from Hippocampal Cholecystokinin Interneurons. Journal of Neuroscience. 30(33). 11202–11209. 37 indexed citations

Tricoire, Ludovic, Kenneth A. Pelkey, Michael I. Daw, et al.. (2010). Common Origins of Hippocampal Ivy and Nitric Oxide Synthase Expressing Neurogliaform Cells. Journal of Neuroscience. 30(6). 2165–2176. 124 indexed citations

10.

Daw, Michael I., Ludovic Tricoire, Ferenc Erdélyi, Gábor Szabó, & Chris J. McBain. (2009). Asynchronous Transmitter Release from Cholecystokinin-Containing Inhibitory Interneurons Is Widespread and Target-Cell Independent. Journal of Neuroscience. 29(36). 11112–11122. 126 indexed citations

11.

Daw, Michael I., Michael C. Ashby, & John Isaac. (2007). Coordinated developmental recruitment of latent fast spiking interneurons in layer IV barrel cortex. Nature Neuroscience. 10(4). 453–461. 141 indexed citations

12.

Daw, Michael I., Helen L. Scott, & John Isaac. (2007). Developmental synaptic plasticity at the thalamocortical input to barrel cortex: Mechanisms and roles. Molecular and Cellular Neuroscience. 34(4). 493–502. 63 indexed citations

13.

Daw, Michael I. & John Isaac. (2007). Electrophysiological Recordings from Neonatal Neocortical Brain Slices. Current Protocols in Neuroscience. 38(1). Unit 6.23–Unit 6.23.

14.

Daw, Michael I., et al.. (2006). Rapid, Activity-Dependent Plasticity in Timing Precision in Neonatal Barrel Cortex. Journal of Neuroscience. 26(16). 4178–4187. 28 indexed citations

15.

Duprat, Fabrice, et al.. (2003). GluR2 protein-protein interactions and the regulation of AMPA receptors during synaptic plasticity. Philosophical Transactions of the Royal Society B Biological Sciences. 358(1432). 715–720. 21 indexed citations

16.

Daw, Michael I., Zuner A. Bortolotto, Emilia Saulle, et al.. (2002). Phosphatidylinositol 3 kinase regulates synapse specificity of hippocampal long-term depression. Nature Neuroscience. 5(9). 835–836. 50 indexed citations

17.

Daw, Michael I., Ramesh Chittajallu, Zuner A. Bortolotto, et al.. (2000). PDZ Proteins Interacting with C-Terminal GluR2/3 Are Involved in a PKC-Dependent Regulation of AMPA Receptors at Hippocampal Synapses. Neuron. 28(3). 873–886. 278 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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