What is he best known for?
The fields of study he is best known for:
His primary areas of study are Neuroscience, Biophysics, Anatomy, Calcium imaging and Biochemistry.
His work on Motor cortex, Biological neural network, Hippocampus and Neural activity as part of general Neuroscience study is frequently linked to Systems neuroscience, therefore connecting diverse disciplines of science.
His Biological neural network study integrates concerns from other disciplines, such as Neuron and Premovement neuronal activity.
His work deals with themes such as Glutamate receptor, Protein subunit, Membrane transport, Green fluorescent protein and Structural biology, which intersect with Biophysics.
The concepts of his Anatomy study are interwoven with issues in Retina, Sensory system and Cell biology.
He studies GCaMP, a branch of Calcium imaging.
His most cited work include:
- Ultrasensitive fluorescent proteins for imaging neuronal activity. (3526 citations)
- Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators (1472 citations)
- Optimization of a GCaMP calcium indicator for neural activity imaging. (880 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Neuroscience, Biophysics, Biochemistry, Calcium and Fluorescence.
In his research on the topic of Neuroscience, Excitatory postsynaptic potential is strongly related with Glutamate receptor.
His study explores the link between Biophysics and topics such as Green fluorescent protein that cross with problems in Endoplasmic reticulum.
His Calcium and Calcium imaging, Calcium signaling and GCaMP investigations all form part of his Calcium research activities.
His Calcium imaging study incorporates themes from Sensory system and Anatomy.
His research in the fields of Förster resonance energy transfer overlaps with other disciplines such as Subject matter.
He most often published in these fields:
- Neuroscience (24.34%)
- Biophysics (18.58%)
- Biochemistry (15.93%)
What were the highlights of his more recent work (between 2018-2021)?
- Biophysics (18.58%)
- Cell biology (14.16%)
- Neuroscience (24.34%)
In recent papers he was focusing on the following fields of study:
Loren L. Looger mainly focuses on Biophysics, Cell biology, Neuroscience, Optogenetics and Computational biology.
The study incorporates disciplines such as Preclinical imaging, Fluorescence, Neurotransmission, Release site and Ca2 homeostasis in addition to Biophysics.
His Preclinical imaging study deals with Calcium intersecting with Two-photon excitation microscopy.
His Cell biology research incorporates elements of Regulation of gene expression, Gene expression and In vivo.
His study in Neuroscience is interdisciplinary in nature, drawing from both Zebrafish and Calcium imaging.
Neuron is closely connected to Cell in his research, which is encompassed under the umbrella topic of Zebrafish.
Between 2018 and 2021, his most popular works were:
- High-performance calcium sensors for imaging activity in neuronal populations and microcompartments (230 citations)
- A genetically encoded fluorescent sensor for in vivo imaging of GABA. (86 citations)
- A genetically encoded single-wavelength sensor for imaging cytosolic and cell surface ATP. (69 citations)
In his most recent research, the most cited papers focused on:
Loren L. Looger mostly deals with Biophysics, Zebrafish, Calcium imaging, Neuron and Cell biology.
His Biophysics research is multidisciplinary, incorporating elements of Preclinical imaging, Extracellular, Green fluorescent protein and Ca2 homeostasis, Intracellular.
As part of the same scientific family, Loren L. Looger usually focuses on Zebrafish, concentrating on Neuroscience and intersecting with Cell.
His Calcium imaging study is concerned with the field of Calcium as a whole.
As a member of one scientific family, Loren L. Looger mostly works in the field of Neuron, focusing on Neuropil and, on occasion, Metabolism, Glucose transporter, Insulin and Glucose uptake.
His studies in Cell biology integrate themes in fields like Regulator and Regulation of gene expression.
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.
