Kenneth L. Grieve

2.3k total citations
34 papers, 1.7k citations indexed

About

Kenneth L. Grieve is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kenneth L. Grieve has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Kenneth L. Grieve's work include Neural dynamics and brain function (13 papers), Visual perception and processing mechanisms (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Kenneth L. Grieve is often cited by papers focused on Neural dynamics and brain function (13 papers), Visual perception and processing mechanisms (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Kenneth L. Grieve collaborates with scholars based in Spain, United Kingdom and United States. Kenneth L. Grieve's co-authors include Javier Cudeiro, Richard A. Andersen, Helen Jones, Carlos Acuña, Peter Brotchie, Lawrence H. Snyder, Casto Rivadulla, Susana Martínez‐Conde, Pablo Arias and Adam M. Sillito and has published in prestigious journals such as Nature, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Kenneth L. Grieve

34 papers receiving 1.7k citations

Peers

Kenneth L. Grieve

CMN

NEURO

Saumil S. Patel United States

Charles J. Duffy United States

Matthew Schmolesky United States

Emmanuel Procyk France

Simo Vanni Finland

Armin Brandt Germany

Jian Ding United States

Edward J. Tehovnik United States

Chris Tailby Australia

Aniruddha Das United States

Saumil S. Patel United States

Kenneth L. Grieve

1.2k ×0.9

663 ×1.3

CMN

274 ×1.3

128 ×0.8

NEURO

84 ×0.7

Citations per year, relative to Kenneth L. Grieve Kenneth L. Grieve (= 1×) peers Saumil S. Patel

Countries citing papers authored by Kenneth L. Grieve

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth L. Grieve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth L. Grieve. 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 Kenneth L. Grieve. The network helps show where Kenneth L. Grieve may publish in the future.

Co-authorship network of co-authors of Kenneth L. Grieve

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth L. Grieve. A scholar is included among the top collaborators of Kenneth L. Grieve 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 Kenneth L. Grieve. Kenneth L. Grieve 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

Arias, Pablo, Verónica Robles‐García, A. Madrid, et al.. (2015). Central fatigue induced by short-lasting finger tapping and isometric tasks: A study of silent periods evoked at spinal and supraspinal levels. Neuroscience. 305. 316–327. 31 indexed citations

Arias, Pablo, Verónica Robles‐García, Nelson Espinosa, et al.. (2014). Balancing the excitability of M1 circuitry during movement observation without overt replication. Frontiers in Behavioral Neuroscience. 8. 316–316. 2 indexed citations

Grieve, Kenneth L., et al.. (2014). Bursting thalamic responses in awake monkey contribute to visual detection and are modulated by corticofugal feedback. Frontiers in Behavioral Neuroscience. 8. 198–198. 21 indexed citations

Jones, Helen, Ian Max Andolina, Kenneth L. Grieve, et al.. (2013). Responses of primate LGN cells to moving stimuli involve a constant background modulation by feedback from area MT. Neuroscience. 246. 254–264. 8 indexed citations

Jones, Helen, Ian Max Andolina, Bashir Ahmed, et al.. (2012). Differential Feedback Modulation of Center and Surround Mechanisms in Parvocellular Cells in the Visual Thalamus. Journal of Neuroscience. 32(45). 15946–15951. 32 indexed citations

Dasilva, Miguel, Kenneth L. Grieve, Javier Cudeiro, & Casto Rivadulla. (2011). Endocannabinoid CB1 receptors modulate visual output from the thalamus. Psychopharmacology. 219(3). 835–845. 28 indexed citations

Arias, Pablo, Jamile Vivas Costa, Kenneth L. Grieve, & Javier Cudeiro. (2010). Double-blind, randomized, placebo controlled trial on the effect of 10 days low-frequency rTMS over the vertex on sleep in Parkinson’s disease. Sleep Medicine. 11(8). 759–765. 27 indexed citations

Grieve, Kenneth L., Casto Rivadulla, & Javier Cudeiro. (2009). Mixed burst and tonic firing in the thalamus: A study in the feline lateral geniculate nucleus in vivo. Brain Research. 1273. 48–57. 5 indexed citations

Grieve, Kenneth L., et al.. (2008). Exophthalmos in rats. Lab Animal. 37(6). 247–247. 1 indexed citations

10.

Grieve, Kenneth L.. (2005). Binocular visual responses in cells of the rat dLGN. The Journal of Physiology. 566(1). 119–124. 26 indexed citations

11.

Burke, Melanie Rose & Kenneth L. Grieve. (2004). Touch responses made to remembered and visual target locations in the dark: a human psychophysical study. Experimental Brain Research. 160(4). 460–466. 3 indexed citations

12.

Rivadulla, Casto, Luis M. Martı́nez, Kenneth L. Grieve, & Javier Cudeiro. (2003). Receptive field structure of burst and tonic firing in feline lateral geniculate nucleus. The Journal of Physiology. 553(2). 601–610. 31 indexed citations

13.

Grieve, Kenneth L., Carlos Acuña, & Javier Cudeiro. (2000). The primate pulvinar nuclei: vision and action. Trends in Neurosciences. 23(1). 35–39. 222 indexed citations

14.

Rivadulla, Casto, Kenneth L. Grieve, & Javier Cudeiro. (1998). Enhanced visual responses in cat dLGN – potentiation by priming with excitatory amino acids. Neuroreport. 9(4). 653–657. 5 indexed citations

15.

Snyder, Lawrence H., Kenneth L. Grieve, Peter Brotchie, & Richard A. Andersen. (1998). Separate body- and world-referenced representations of visual space in parietal cortex. Nature. 394(6696). 887–891. 379 indexed citations

16.

Dubowitz, David J., et al.. (1998). Functional magnetic resonance imaging in macaque cortex. Neuroreport. 9(10). 2213–2218. 78 indexed citations

17.

Rivadulla, Casto, Kenneth L. Grieve, Rosa Rodríguez, et al.. (1997). An unusual effect of application of the amino acid L-arginine on cat visual cortical cells.. PubMed. 8(4). 863–6. 4 indexed citations

18.

Cudeiro, Javier, Casto Rivadulla, Susana Martínez‐Conde, et al.. (1996). Further Observations on the Role of Nitric Oxide in the Feline Lateral Geniculate Nucleus. European Journal of Neuroscience. 8(1). 144–152. 35 indexed citations

19.

Grieve, Kenneth L. & Adam M. Sillito. (1995). Non-length-tuned cells in layers II/III and IV of the visual cortex: the effect of blockade of layer VI on responses to stimuli of different lengths. Experimental Brain Research. 104(1). 12–20. 24 indexed citations

20.

Cudeiro, Javier, Kenneth L. Grieve, Casto Rivadulla, et al.. (1994). The role of nitric oxide in the transformation of visual information within the dorsal lateral geniculate nucleus of the cat. Neuropharmacology. 33(11). 1413–1418. 35 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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