Yang Dan

22.2k citations
104 papers · 14.6k indexed · 6 hit papers · h-index 59

Yang Dan

101 papers receiving 14.3k citations

Hit Papers

Micro...5120022026201020184008001.2k

Peers

Yang Dan
Comparison fields: 5 of 166
  • Cognitive Neuroscience 10.9k
  • Cellular and Molecular Neuroscience 8.3k
  • Endocrine and Autonomic Systems 1.1k
  • Sensory Systems 601
  • Neurology 848
Replace Miguel A. L. Nicolelis with:
Miguel A. L. Nicolelis United States
Barry W. Connors United States
John Lisman United States
S. Murray Sherman United States
Edward M. Callaway United States
Garret D. Stuber United States
Diego Contreras United States
Ofer Yizhar Israel
John R. Huguenard United States
Markus Meister United States
Yang Dan relative to Miguel A. L. Nicolelis United States Miguel A. L. Nicolelis's profile →
Citations per field
00.5×1.5×2.1×
Miguel A. L. Nicolelis · 1×
Citations per year

Countries citing papers authored by Yang Dan

Since Specialization
Citations

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

Fields of papers citing papers by Yang Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Dan. 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 Yang Dan. The network helps show where Yang Dan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yang Dan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang Dan Line = papers co-authored together Yang Dan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20253
5
Microglia regulate sleep through calcium-dependent modulation of norepinephrine transmissionbreakdown →
202451
6 202233
7 202122
8 202164
9 202048
10 202083
11 201952
12 201954
13 201953
14 2018153
15 2017142
16 2016165
17 2016128
18
Basal forebrain circuit for sleep-wake controlbreakdown →
2015370
19
Application of Optimized Wavelet Neural Network Based on Genetic Algorithm in Groundwater Level Prediction
20101
20 2009172

About Yang Dan

Yang Dan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 104 papers that have together received 14.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (62 papers), Neuroscience and Neuropharmacology Research (50 papers), Photoreceptor and optogenetics research (24 papers), Visual perception and processing mechanisms (22 papers), Sleep and Wakefulness Research (22 papers), Advanced Memory and Neural Computing (12 papers), Circadian rhythm and melatonin (12 papers) and Neuroscience and Neural Engineering (10 papers). The work is most often cited by research in Cognitive Neuroscience (10.9k citations), Cellular and Molecular Neuroscience (8.3k citations) and Endocrine and Autonomic Systems (1.1k citations). Yang Dan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Mu‐ming Poo, Natalia Caporale, Robert C. Froemke, Seung‐Hee Lee, Michael J. Goard, Min Xu, Lucas Pinto, Franz Weber, Gidon Felsen and Siyu Zhang. Their work appears in journals such as Neuron, Nature Neuroscience, Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature.

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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