Yan-You Huang

3.4k citations
14 papers · 2.8k indexed · 1 hit paper · h-index 14

Yan-You Huang

14 papers receiving 2.7k citations

Hit Papers

cAMP contributes to mossy fiber LTP by initiating both a ...4251994202620042015100200300400

Peers

Yan-You Huang
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 1.8k
  • Cognitive Neuroscience 1.0k
  • Behavioral Neuroscience 179
  • Developmental Neuroscience 163
  • Neurology 321
Replace Mary Elizabeth Bach with:
Mary Elizabeth Bach United States
Isabelle M. Mansuy Switzerland
Melanie A. Woodin Canada
Arnold J. Heynen United States
Raphael Lamprecht Israel
Tomi Taira Finland
Csaba Földy United States
Linnaea Ostroff United States
Michelle Day United Kingdom
Asim J. Rashid Canada
Yan-You Huang relative to Mary Elizabeth Bach United States Mary Elizabeth Bach's profile →
Citations per field
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Mary Elizabeth Bach · 1×
Citations per year

Countries citing papers authored by Yan-You Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yan-You Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-You Huang. 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 Yan-You Huang. The network helps show where Yan-You Huang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yan-You Huang, 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 Yan-You Huang Line = papers co-authored together Yan-You Huang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2017256
2 2015160
3 2013126
4 200783
5 200427
6 2000223
7 1998354
8 1998273
9 1996178
10 1995222
11
cAMP contributes to mossy fiber LTP by initiating both a covalently mediated early phase and macromolecular synthesis-dependent late phasebreakdown →
1994425
12 1992342
13 198869
14 198817

About Yan-You Huang

Yan-You Huang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 14 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (9 papers), Neural dynamics and brain function (2 papers), Receptor Mechanisms and Signaling (2 papers), Plant Molecular Biology Research (2 papers), Graphene research and applications (1 paper), Plant Gene Expression Analysis (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Cognitive Neuroscience (1.0k citations) and Behavioral Neuroscience (179 citations). Yan-You Huang has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Eric R. Kandel, Robert C. Malenka, A. Colino, Kelsey C. Martin, Danny Baranes, Craig H. Bailey, Doron Lederfein, Mary Chen, Holger Wigström and Eric R. Kandel. Their work appears in journals such as Nature, Science and Cell.

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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