D-Index & Metrics Best Publications
Yulong Li

Yulong Li

Peking University
China

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Neurotransmitter
  • Neuron

His main research concerns Neuroscience, Endogeny, Cell biology, Neurotransmitter and Monoamine neurotransmitter. His study in the fields of Dopamine, Dopaminergic, Optogenetics and Nerve net under the domain of Neuroscience overlaps with other disciplines such as Singing. His work carried out in the field of Dopamine brings together such families of science as Synaptic plasticity, Long-term potentiation, Olfaction and Associative learning.

His work on Neurogenesis and Developmental biology as part of general Cell biology research is often related to NEUROD2, Mitotic exit and microRNA, thus linking different fields of science. His Neurotransmitter research incorporates themes from Secretion, Nanotechnology and Kiss-and-run fusion. His studies in Monoamine neurotransmitter integrate themes in fields like Extracellular and Locus coeruleus.

His most cited work include:

  • MicroRNA-mediated conversion of human fibroblasts to neurons (730 citations)
  • The Dynamic Control of Kiss-And-Run and Vesicular Reuse Probed with Single Nanoparticles (279 citations)
  • A Genetically Encoded Fluorescent Sensor Enables Rapid and Specific Detection of Dopamine in Flies, Fish, and Mice. (240 citations)

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

His primary scientific interests are in Neuroscience, Dopamine, In vivo, Cholinergic and Cell biology. Yulong Li regularly links together related areas like G protein-coupled receptor in his Neuroscience studies. His Dopamine research is multidisciplinary, incorporating perspectives in Extracellular, Monoamine neurotransmitter, Stimulus and Premovement neuronal activity.

His biological study deals with issues like Acetylcholine, which deal with fields such as Basolateral amygdala and Arousal. His research integrates issues of Notch signaling pathway and Neurotransmitter in his study of Cell biology. In vitro and Endogeny are frequently intertwined in his study.

He most often published in these fields:

  • Neuroscience (118.94%)
  • Dopamine (53.79%)
  • In vivo (42.42%)

What were the highlights of his more recent work (between 2019-2021)?

  • Neuroscience (118.94%)
  • Dopamine (53.79%)
  • Cholinergic (36.36%)

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

Yulong Li mostly deals with Neuroscience, Dopamine, Cholinergic, Acetylcholine and In vivo. As part of his studies on Neuroscience, Yulong Li often connects relevant subjects like Receptor. His work on Dopaminergic is typically connected to Reinforcement as part of general Dopamine study, connecting several disciplines of science.

His work in the fields of Cholinergic, such as Cholinergic neuron, intersects with other areas such as Transmission. Yulong Li has included themes like Arousal, Electrophysiology, Basolateral amygdala and Retina in his Acetylcholine study. You can notice a mix of various disciplines of study, such as Biophysics, Extracellular, Monoamine neurotransmitter and Purinergic receptor, in his In vivo studies.

Between 2019 and 2021, his most popular works were:

  • An optimized acetylcholine sensor for monitoring in vivo cholinergic activity. (27 citations)
  • An optimized acetylcholine sensor for monitoring in vivo cholinergic activity. (27 citations)
  • A genetically encoded GRAB sensor for measuring serotonin dynamics in vivo (26 citations)

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

  • Neuroscience
  • Neuron
  • Neurotransmitter

Yulong Li mainly focuses on Neuroscience, Dopamine, In vivo, Premovement neuronal activity and Dopaminergic. Yulong Li merges Neuroscience with Glutamatergic in his research. His Dopamine research is multidisciplinary, relying on both Stimulus and Midbrain.

A majority of his In vivo research is a blend of other scientific areas, such as Biophysics, Receptor and Monoamine neurotransmitter. His study in Receptor is interdisciplinary in nature, drawing from both Cholinergic and Neuron. Premovement neuronal activity is often connected to Extracellular in his work.

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

MicroRNA-mediated conversion of human fibroblasts to neurons

Andrew S. Yoo;Alfred X. Sun;Li Li;Aleksandr Shcheglovitov.
Nature (2011)

1003 Citations

A Genetically Encoded Fluorescent Sensor Enables Rapid and Specific Detection of Dopamine in Flies, Fish, and Mice.

Fangmiao Sun;Jianzhi Zeng;Miao Jing;Miao Jing;Miao Jing;Jingheng Zhou.
Cell (2018)

448 Citations

The Dynamic Control of Kiss-And-Run and Vesicular Reuse Probed with Single Nanoparticles

Qi Zhang;Yulong Li;Richard W. Tsien.
Science (2009)

372 Citations

A genetically encoded fluorescent acetylcholine indicator for in vitro and in vivo studies

Miao Jing;Miao Jing;Miao Jing;Peng Zhang;Guangfu Wang;Guangfu Wang;Jiesi Feng;Jiesi Feng;Jiesi Feng.
Nature Biotechnology (2018)

239 Citations

pHTomato, a red, genetically encoded indicator that enables multiplex interrogation of synaptic activity

Yulong Li;Richard W Tsien.
Nature Neuroscience (2012)

160 Citations

A Genetically Encoded Fluorescent Sensor for Rapid and Specific In Vivo Detection of Norepinephrine.

Jiesi Feng;Jiesi Feng;Changmei Zhang;Julieta E. Lischinsky;Miao Jing.
Neuron (2019)

131 Citations

Influence of Synaptic Vesicle Position on Release Probability and Exocytotic Fusion Mode

Hyo Keun Park;Yulong Li;Richard W. Tsien;Richard W. Tsien.
Science (2012)

121 Citations

An optimized acetylcholine sensor for monitoring in vivo cholinergic activity.

Miao Jing;Yuexuan Li;Yuexuan Li;Jianzhi Zeng;Jianzhi Zeng;Pengcheng Huang.
Nature Methods (2020)

114 Citations

GABAergic projection neurons route selective olfactory inputs to specific higher-order neurons.

Liang Liang;Liang Liang;Yulong Li;Christopher J. Potter;Ofer Yizhar.
Neuron (2013)

102 Citations

Distinct Dopamine Receptor Pathways Underlie the Temporal Sensitivity of Associative Learning.

Annie Handler;Thomas G.W. Graham;Raphael Cohn;Ianessa Morantte.
Cell (2019)

85 Citations

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