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 73 Citations 28,821 200 World Ranking 1236 National Ranking 635

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Gene
  • Neuron

His primary areas of study are Neuroscience, Cell type, Transgene, Gene expression and Optogenetics. His research on Neuroscience often connects related topics like Calcium imaging. His studies deal with areas such as Cerebral cortex, Transcriptome, Machine learning and Single-cell analysis as well as Cell type.

His Transgene research incorporates themes from In vivo, Hippocampus, Computational biology and In situ hybridization. Hongkui Zeng works mostly in the field of Computational biology, limiting it down to topics relating to Genetics and, in certain cases, Circadian rhythm, as a part of the same area of interest. His Optogenetics research includes themes of Hypothalamus and Genetically modified mouse.

His most cited work include:

  • A robust and high-throughput Cre reporting and characterization system for the whole mouse brain (3634 citations)
  • A mesoscale connectome of the mouse brain (1338 citations)
  • Adult mouse cortical cell taxonomy revealed by single cell transcriptomics (969 citations)

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

The scientist’s investigation covers issues in Neuroscience, Cell type, Visual cortex, Neocortex and Optogenetics. His research investigates the connection with Neuroscience and areas like Transgene which intersect with concerns in In vivo. His Cell type study incorporates themes from Transcriptome, Gene expression and Computational biology.

Hongkui Zeng usually deals with Computational biology and limits it to topics linked to Enhancer and Epigenetics. His research investigates the connection between Visual cortex and topics such as Calcium imaging that intersect with issues in Fluorescence. His Neocortex study combines topics in areas such as Phenotype and Human brain.

He most often published in these fields:

  • Neuroscience (55.26%)
  • Cell type (31.14%)
  • Visual cortex (14.91%)

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

  • Cell type (31.14%)
  • Neuroscience (55.26%)
  • Computational biology (11.84%)

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

Hongkui Zeng mainly investigates Cell type, Neuroscience, Computational biology, Transcriptome and Neocortex. The Cell type study combines topics in areas such as Gene expression, Gene and Primary motor cortex. His Computational biology research incorporates themes from Chromatin, Genome and Nucleus.

His work is dedicated to discovering how Transcriptome, Glutamatergic are connected with Hippocampus and Cortex and other disciplines. His Neocortex research integrates issues from Phenotype, Visual task and Function. His Genetically modified mouse study, which is part of a larger body of work in Transgene, is frequently linked to CTGF, bridging the gap between disciplines.

Between 2019 and 2021, his most popular works were:

  • The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas. (103 citations)
  • A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex (67 citations)
  • Fundamental bounds on the fidelity of sensory cortical coding. (48 citations)

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

  • Gene
  • Neuroscience
  • Neuron

Hongkui Zeng mostly deals with Cell type, Neuroscience, Transcriptome, Neocortex and Visual cortex. His research integrates issues of Chromatin, Epigenomics, Computational biology and Primary motor cortex in his study of Cell type. Borrowing concepts from Data aggregator, Hongkui Zeng weaves in ideas under Neuroscience.

The concepts of his Transcriptome study are interwoven with issues in Evolutionary biology, Glutamatergic and Single-cell analysis. Hongkui Zeng has included themes like Electrophysiology, Perception, Sensory system, Calcium imaging and Pattern recognition in his Visual cortex study. His study on Cell also encompasses disciplines like

  • Enhancer that connect with fields like Transgene, Epigenetics and Cell biology,
  • In vivo most often made with reference to Gene.

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

A robust and high-throughput Cre reporting and characterization system for the whole mouse brain

Linda Madisen;Theresa A Zwingman;Susan M Sunkin;Seung Wook Oh.
Nature Neuroscience (2010)

4940 Citations

A mesoscale connectome of the mouse brain

Seung Wook Oh;Julie A. Harris;Lydia Ng;Brent Winslow.
Nature (2014)

1918 Citations

Adult mouse cortical cell taxonomy revealed by single cell transcriptomics

Bosiljka Tasic;Vilas Menon;Thuc Nghi Nguyen;Tae Kyung Kim.
Nature Neuroscience (2016)

1312 Citations

A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing

Linda Madisen;Tianyi Mao;Tianyi Mao;Henner Koch;Jia Min Zhuo.
Nature Neuroscience (2012)

1137 Citations

Shared and distinct transcriptomic cell types across neocortical areas

Bosiljka Tasic;Zizhen Yao;Lucas T. Graybuck;Kimberly A. Smith.
Nature (2018)

963 Citations

The G protein-coupled receptor repertoires of human and mouse.

Demetrios K. Vassilatis;John G. Hohmann;Hongkui Zeng;Fusheng Li.
Proceedings of the National Academy of Sciences of the United States of America (2003)

923 Citations

Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance.

Linda Madisen;Aleena R. Garner;Daisuke Shimaoka;Amy S. Chuong.
Neuron (2015)

808 Citations

Conserved cell types with divergent features in human versus mouse cortex.

Rebecca D. Hodge;Trygve E. Bakken;Jeremy A. Miller;Kimberly A. Smith.
Nature (2019)

790 Citations

Differential Control of Learning and Anxiety along the Dorsoventral Axis of the Dentate Gyrus

Mazen A. Kheirbek;Liam J. Drew;Nesha S. Burghardt;Daniel O. Costantini.
Neuron (2013)

607 Citations

A light-entrainment mechanism for the Drosophila circadian clock.

Hongkui Zeng;Zuwei Qian;Michael P. Myers;Michael Rosbash.
Nature (1996)

570 Citations

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