David T. Blake

2.5k total citations
40 papers, 1.8k citations indexed

About

David T. Blake is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, David T. Blake has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 16 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in David T. Blake's work include Neural dynamics and brain function (21 papers), EEG and Brain-Computer Interfaces (12 papers) and Neuroscience and Neural Engineering (9 papers). David T. Blake is often cited by papers focused on Neural dynamics and brain function (21 papers), EEG and Brain-Computer Interfaces (12 papers) and Neuroscience and Neural Engineering (9 papers). David T. Blake collaborates with scholars based in United States, China and Spain. David T. Blake's co-authors include Michael M. Merzenich, R. Christopher deCharms, Steven S. Hsiao, Kenneth O. Johnson, Nancy N. Byl, Marc A. Heiser, Fabrizio Strata, Srikantan S. Nagarajan, Robert Chen and Aimee J. Nelson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

David T. Blake

38 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David T. Blake United States	21	1.4k	452	245	175	137	40	1.8k
Emmanuel Procyk France	27	2.3k 1.6×	398 0.9×	189 0.8×	119 0.7×	65 0.5×	62	2.7k
Naotaka Fujii Japan	31	2.3k 1.6×	840 1.9×	179 0.7×	355 2.0×	72 0.5×	57	2.9k
Purvis Bedenbaugh United States	13	912 0.6×	256 0.6×	113 0.5×	142 0.8×	84 0.6×	20	1.2k
Keisetsu Shima Japan	24	2.9k 2.0×	604 1.3×	203 0.8×	201 1.1×	96 0.7×	50	3.6k
Yoshinao Kajikawa United States	18	1.6k 1.2×	690 1.5×	479 2.0×	49 0.3×	226 1.6×	31	2.0k
Matthew V. Chafee United States	25	2.7k 1.9×	637 1.4×	203 0.8×	71 0.4×	63 0.5×	43	3.1k
Antonio Zainos Mexico	25	2.7k 1.9×	823 1.8×	310 1.3×	56 0.3×	118 0.9×	45	2.9k
Matthew S. Matell United States	20	2.4k 1.7×	333 0.7×	499 2.0×	61 0.3×	164 1.2×	35	2.6k
David R. Euston Canada	18	1.5k 1.1×	874 1.9×	190 0.8×	38 0.2×	123 0.9×	26	2.3k

Countries citing papers authored by David T. Blake

Since Specialization

Citations

This map shows the geographic impact of David T. Blake'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 T. Blake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Blake more than expected).

Fields of papers citing papers by David T. Blake

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David T. Blake

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

All Works

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20 of 20 papers shown

Blake, David T., et al.. (2024). An Aerosol Jet Printed Microcoil for Cochlear Micromagnetic Stimulation. PubMed. 2024. 1–5. 1 indexed citations

Tripathi, Ashutosh, Yun Lei, Jeremy Sword, et al.. (2023). Chronic basal forebrain activation improves spatial memory, boosts neurotrophin receptor expression, and lowers BACE1 and Aβ42 levels in the cerebral cortex in mice. Cerebral Cortex. 33(12). 7627–7641. 1 indexed citations

Qi, Xue-Lian, Fernando Ĺ. Vale, Sarah K. Bick, et al.. (2022). Protocol for behavioral and neural recording during stimulation of the macaque monkey nucleus basalis. STAR Protocols. 3(1). 101136–101136.

Tang, Hua, et al.. (2022). Prefrontal cortical plasticity during learning of cognitive tasks. Nature Communications. 13(1). 90–90. 27 indexed citations

Callahan, Patrick M., et al.. (2021). Aged rhesus monkeys: Cognitive performance categorizations and preclinical drug testing. Neuropharmacology. 187. 108489–108489. 6 indexed citations

Subramaniam, Saravanan, David T. Blake, & Christos Constantinidis. (2021). Cholinergic Deep Brain Stimulation for Memory and Cognitive Disorders. Journal of Alzheimer s Disease. 83(2). 491–503. 9 indexed citations

Fang, Xing, Shujun Jiang, Jiangong Wang, et al.. (2021). Chronic unpredictable stress induces depression-related behaviors by suppressing AgRP neuron activity. Molecular Psychiatry. 26(6). 2299–2315. 60 indexed citations

Callahan, Patrick M., et al.. (2019). Atomoxetine improves memory and other components of executive function in young-adult rats and aged rhesus monkeys. Neuropharmacology. 155. 65–75. 26 indexed citations

Liu, Ruifeng, Jonathan Crawford, Patrick M. Callahan, et al.. (2018). Intermittent stimulation in the nucleus basalis of meynert improves sustained attention in rhesus monkeys. Neuropharmacology. 137. 202–210. 20 indexed citations

10.

Liu, Ruifeng, Jonathan Crawford, Patrick M. Callahan, et al.. (2017). Intermittent Stimulation of the Nucleus Basalis of Meynert Improves Working Memory in Adult Monkeys. Current Biology. 27(17). 2640–2646.e4. 47 indexed citations

11.

Blake, David T.. (2017). Network Supervision of Adult Experience and Learning Dependent Sensory Cortical Plasticity. Comprehensive physiology. 7(3). 977–1008. 3 indexed citations

12.

Guo, Fei, Irakli Intskirveli, David T. Blake, & Raju Metherate. (2013). Tone-detection training enhances spectral integration mediated by intracortical pathways in primary auditory cortex. Neurobiology of Learning and Memory. 101. 75–84. 19 indexed citations

13.

Plummer, Thane K., et al.. (2011). Different Neuroplasticity for Task Targets and Distractors. PLoS ONE. 6(1). e15342–e15342. 10 indexed citations

14.

Blake, David T., Marc A. Heiser, Matthew S. Caywood, & Michael M. Merzenich. (2006). Experience-Dependent Adult Cortical Plasticity Requires Cognitive Association between Sensation and Reward. Neuron. 52(2). 371–381. 110 indexed citations

15.

Blake, David T., Fabrizio Strata, Richard Kempter, & Michael M. Merzenich. (2005). Experience-Dependent Plasticity in S1 Caused by Noncoincident Inputs. Journal of Neurophysiology. 94(3). 2239–2250. 30 indexed citations

16.

Polley, Daniel B., Marc A. Heiser, David T. Blake, Christoph E. Schreiner, & Michael M. Merzenich. (2004). Associative learning shapes the neural code for stimulus magnitude in primary auditory cortex. Proceedings of the National Academy of Sciences. 101(46). 16351–16356. 100 indexed citations

17.

Blake, David T., Nancy N. Byl, & Michael M. Merzenich. (2002). Representation of the hand in the cerebral cortex. Behavioural Brain Research. 135(1-2). 179–184. 44 indexed citations

18.

Blake, David T., Nancy N. Byl, Steven W. Cheung, et al.. (2002). Sensory representation abnormalities that parallel focal hand dystonia in a primate model. Somatosensory & Motor Research. 19(4). 347–357. 67 indexed citations

19.

deCharms, R. Christopher, David T. Blake, & Michael M. Merzenich. (1999). A multielectrode implant device for the cerebral cortex. Journal of Neuroscience Methods. 93(1). 27–35. 59 indexed citations

20.

deCharms, R. Christopher, David T. Blake, & Michael M. Merzenich. (1998). Optimizing Sound Features for Cortical Neurons. Science. 280(5368). 1439–1444. 343 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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