Eric Klann

24.0k citations
187 papers · 18.7k indexed · 5 hit papers · h-index 76

Eric Klann

185 papers receiving 18.5k citations

Hit Papers

Suppression of eIF2α kinases alleviates...4401998202620072016250500750

Peers

Eric Klann
Comparison fields: 5 of 147
  • Cellular and Molecular Neuroscience 6.8k
  • Biological Psychiatry 873
  • Developmental Neuroscience 1.1k
  • Neurology 2.1k
  • Behavioral Neuroscience 672
Replace Yu Tian Wang with:
Yu Tian Wang Canada
Tsuyoshi Miyakawa Japan
Ottavio Arancio United States
Michel Baudry United States
Jacques Mallet France
Bruno Giros France
Hilmar Bading Germany
R. Suzanne Zukin United States
Zhen Yan United States
Li-Huei Tsai United States
Eric Klann relative to Yu Tian Wang Canada Yu Tian Wang's profile →
Citations per field
00.5×1.5×
Yu Tian Wang · 1×
Citations per year

Countries citing papers authored by Eric Klann

Since Specialization
Citations

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

Fields of papers citing papers by Eric Klann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202248
3 202216
4 202111
5 202042
6 201944
7 201767
8 201667
9 201554
10 201320
11 201271
12 2011112
13 2011239
14 2010438
15
Extinction-Reconsolidation Boundaries: Key to Persistent Attenuation of Fear Memoriesbreakdown →
2009708
16 2009192
17
Translational Control of Long-Lasting Synaptic Plasticity and Memorybreakdown →
2009750
18 200793
19 200674
20 2005215

About Eric Klann

Eric Klann is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology, having authored 187 papers that have together received 18.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (84 papers), Genetics and Neurodevelopmental Disorders (62 papers), Receptor Mechanisms and Signaling (27 papers), Neuroinflammation and Neurodegeneration Mechanisms (26 papers), Alzheimer's disease research and treatments (20 papers), RNA regulation and disease (18 papers), Mitochondrial Function and Pathology (17 papers) and Autism Spectrum Disorder Research (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.8k citations), Biological Psychiatry (873 citations) and Developmental Neuroscience (1.1k citations). Eric Klann has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Charles A. Hoeffer, Lingfei Hou, Charbel Massaad, Lauren T. Knapp, Faridis Serrano, Nahum Sonenberg, J. David Sweatt, Kenneth T. Kishida, Joel D. Richter and Tao Ma. Their work appears in journals such as Journal of Neuroscience, Journal of Neurochemistry, Proceedings of the National Academy of Sciences, Learning & Memory and Neurobiology of Learning and Memory.

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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