D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 82 Citations 18,530 293 World Ranking 857 National Ranking 470

Research.com Recognitions

Awards & Achievements

2001 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Neuroscience
  • Internal medicine

The scientist’s investigation covers issues in Neuroscience, Aplysia, Sensory neuron, Sensory system and Neuron. His study on Neuroscience is mostly dedicated to connecting different topics, such as Synaptic plasticity. His Synaptic plasticity research includes themes of Cognition and Neurotransmission.

His Aplysia study combines topics in areas such as Facilitation, Stimulation, Anatomy and Serotonin. The various areas that John H. Byrne examines in his Sensory neuron study include Synapse, Electrophysiology and Reflex. His work carried out in the field of Neuron brings together such families of science as Bursting and Buccal administration.

His most cited work include:

  • Presynaptic Facilitation Revisited: State and Time Dependence (495 citations)
  • Cellular analysis of associative learning. (467 citations)
  • Mathematical Modeling of Gene Networks (405 citations)

What are the main themes of his work throughout his whole career to date?

John H. Byrne spends much of his time researching Neuroscience, Aplysia, Synaptic plasticity, Neuron and Sensory system. His work on Neuroscience is being expanded to include thematically relevant topics such as Long-term potentiation. His Aplysia research is multidisciplinary, relying on both Classical conditioning, Stimulation, Sensory neuron and Serotonin.

His Synaptic plasticity study incorporates themes from Neuroplasticity and Protein kinase A. His Neuron study combines topics from a wide range of disciplines, such as Bursting and Central pattern generator. His research integrates issues of Stimulus, Intracellular, Reflex and Sensitization in his study of Sensory system.

He most often published in these fields:

  • Neuroscience (63.24%)
  • Aplysia (52.02%)
  • Synaptic plasticity (17.13%)

What were the highlights of his more recent work (between 2010-2021)?

  • Neuroscience (63.24%)
  • Synaptic plasticity (17.13%)
  • Aplysia (52.02%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Neuroscience, Synaptic plasticity, Aplysia, Long-term potentiation and Positive feedback. His Neuroscience research focuses on Neuron, Long-term memory, Neural facilitation, Biological neural network and Engram. His Biological neural network research incorporates themes from Buccal ganglion, Functional connectivity, Crosstalk and Encoding.

He combines subjects such as Stimulus, CREB-binding protein, Protein biosynthesis, Cell biology and Neuroplasticity with his study of Synaptic plasticity. His work in Aplysia covers topics such as CREB1 which are related to areas like Synapse. His study in Positive feedback is interdisciplinary in nature, drawing from both Hippocampal formation, Signal transduction, Ca2+/calmodulin-dependent protein kinase and Synaptic tagging.

Between 2010 and 2021, his most popular works were:

  • Endovascular repair of ruptured infrarenal abdominal aortic aneurysm is associated with lower 30-day mortality and better 5-year survival rates than open surgical repair. (108 citations)
  • Associative Learning in Invertebrates (96 citations)
  • From molecules to networks : an introduction to cellular and molecular neuroscience (92 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Internal medicine
  • Neuroscience

His primary areas of study are Neuroscience, Synaptic plasticity, Aplysia, Long-term potentiation and Neural facilitation. His multidisciplinary approach integrates Neuroscience and Electronic properties in his work. His studies in Synaptic plasticity integrate themes in fields like Stimulus, Neuroplasticity and Kinase, MAPK/ERK pathway.

His Long-term potentiation research incorporates elements of Protein kinase A, Positive feedback, Facilitation and Signal transduction, Cell biology. John H. Byrne interconnects Classical conditioning and Central pattern generator in the investigation of issues within Facilitation. His Neural facilitation research includes elements of Molecular signaling, Electric stimulation, Cyclic AMP-Dependent Protein Kinases and Coculture Technique.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Presynaptic Facilitation Revisited: State and Time Dependence

John H Byrne;Eric R. Kandel.
The Journal of Neuroscience (1996)

657 Citations

Cellular analysis of associative learning.

John H Byrne.
Physiological Reviews (1987)

572 Citations

Mathematical Modeling of Gene Networks

Paul Smolen;Douglas A Baxter;John H Byrne.
Neuron (2000)

545 Citations

Modeling transcriptional control in gene networks--methods, recent results, and future directions.

Paul Smolen;Douglas A. Baxter;John H. Byrne.
Bulletin of Mathematical Biology (2000)

508 Citations

Associative conditioning of single sensory neurons suggests a cellular mechanism for learning

Edgar T. Walters;John H. Byrne.
Science (1983)

429 Citations

100 Years of Consolidation— Remembering Muller and Pilzecker

Hilde A. Lechner;Larry R. Squire;John H. Byrne.
Learning & Memory (1999)

404 Citations

Learning and memory : a comprehensive reference

John H. Byrne.
(2008)

388 Citations

Operant Reward Learning in Aplysia: Neuronal Correlates and Mechanisms

Björn Brembs;Fred D. Lorenzetti;Fredy D. Reyes;Douglas A. Baxter.
Science (2002)

325 Citations

Modeling circadian oscillations with interlocking positive and negative feedback loops.

Paul Smolen;Douglas A. Baxter;John H. Byrne.
The Journal of Neuroscience (2001)

279 Citations

Mechanoafferent neurons innervating tail of Aplysia. I. Response properties and synaptic connections.

Edgar T Walters;John H Byrne;T. J. Carew;E. R. Kandel.
Journal of Neurophysiology (1983)

269 Citations

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