Eric Klann

24.0k total citations · 5 hit papers
187 papers, 18.7k citations indexed

About

Eric Klann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Eric Klann has authored 187 papers receiving a total of 18.7k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Molecular Biology, 93 papers in Cellular and Molecular Neuroscience and 63 papers in Genetics. Recurrent topics in Eric Klann's work include Neuroscience and Neuropharmacology Research (84 papers), Genetics and Neurodevelopmental Disorders (62 papers) and Receptor Mechanisms and Signaling (27 papers). Eric Klann is often cited by papers focused on Neuroscience and Neuropharmacology Research (84 papers), Genetics and Neurodevelopmental Disorders (62 papers) and Receptor Mechanisms and Signaling (27 papers). Eric Klann collaborates with scholars based in United States, Canada and Israel. Eric Klann's 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 and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Eric Klann

185 papers receiving 18.5k citations

Hit Papers

mTOR signaling: At the crossroads of plasticity, mem... 1998 2026 2007 2016 2009 2009 2009 1998 2013 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eric Klann United States 76 10.3k 6.8k 4.1k 3.8k 3.5k 187 18.7k
Teresa A. Milner United States 75 6.3k 0.6× 9.2k 1.3× 2.9k 0.7× 3.0k 0.8× 2.4k 0.7× 270 19.6k
Jeffrey L. Noebels United States 78 10.2k 1.0× 10.0k 1.5× 4.8k 1.2× 2.9k 0.8× 3.9k 1.1× 301 20.2k
Michel Baudry United States 80 9.7k 0.9× 13.1k 1.9× 1.8k 0.4× 3.0k 0.8× 4.3k 1.2× 401 23.0k
Tsuyoshi Miyakawa Japan 61 6.5k 0.6× 5.5k 0.8× 2.3k 0.6× 1.8k 0.5× 2.7k 0.8× 249 14.9k
Yu Tian Wang Canada 71 10.1k 1.0× 13.2k 1.9× 1.3k 0.3× 2.9k 0.8× 3.8k 1.1× 251 21.3k
Jacques Mallet France 73 9.6k 0.9× 7.2k 1.1× 4.1k 1.0× 2.2k 0.6× 1.3k 0.4× 367 18.7k
Li-Huei Tsai United States 43 8.1k 0.8× 3.4k 0.5× 2.0k 0.5× 2.7k 0.7× 1.3k 0.4× 48 14.4k
Zhen Yan United States 68 7.5k 0.7× 8.5k 1.2× 1.6k 0.4× 1.7k 0.5× 3.0k 0.8× 214 15.6k
R. Suzanne Zukin United States 69 8.1k 0.8× 7.9k 1.1× 2.5k 0.6× 1.6k 0.4× 2.2k 0.6× 143 14.4k
Ottavio Arancio United States 73 8.6k 0.8× 7.7k 1.1× 1.7k 0.4× 8.1k 2.2× 2.2k 0.6× 212 20.7k

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 of co-authors of Eric Klann

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Klann. A scholar is included among the top collaborators of Eric Klann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric Klann. Eric Klann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mercaldo, Valentina, Esperanza Fernández, Adrian C. Lo, et al.. (2023). Altered striatal actin dynamics drives behavioral inflexibility in a mouse model of fragile X syndrome. Neuron. 111(11). 1760–1775.e8. 15 indexed citations
2.
Castillo, Pablo E., et al.. (2023). Presynaptic Protein Synthesis in Brain Function and Disease. Journal of Neuroscience. 43(45). 7483–7488. 5 indexed citations
3.
Aryal, Sameer, Francesco Longo, & Eric Klann. (2021). Genetic removal of p70 S6K1 corrects coding sequence length-dependent alterations in mRNA translation in fragile X syndrome mice. Proceedings of the National Academy of Sciences. 118(18). 12 indexed citations
4.
Young, Sara K., et al.. (2019). Suppression of MEHMO Syndrome Mutation in eIF2 by Small Molecule ISRIB. Molecular Cell. 77(4). 875–886.e7. 31 indexed citations
5.
Ostroff, Linnaea, Emanuela Santini, Robert M. Sears, et al.. (2019). Axon TRAP reveals learning-associated alterations in cortical axonal mRNAs in the lateral amygdala. eLife. 8. 44 indexed citations
6.
7.
Huynh, Thu N., et al.. (2015). eIF4E/Fmr1 double mutant mice display cognitive impairment in addition to ASD-like behaviors. Neurobiology of Disease. 83. 67–74. 13 indexed citations
8.
Groß, Christina, Seth M. Kelly, Aditi Bhattacharya, et al.. (2015). Increased Expression of the PI3K Enhancer PIKE Mediates Deficits in Synaptic Plasticity and Behavior in Fragile X Syndrome. Cell Reports. 11(5). 727–736. 89 indexed citations
9.
Kumari, Daman, Aditi Bhattacharya, Kristen Moulton, et al.. (2014). Identification of Fragile X Syndrome Specific Molecular Markers in Human Fibroblasts: A Useful Model to Test the Efficacy of Therapeutic Drugs. Human Mutation. 35(12). 1485–1494. 46 indexed citations
10.
Santini, Emanuela & Eric Klann. (2014). Reciprocal signaling between translational control pathways and synaptic proteins in autism spectrum disorders. Science Signaling. 7(349). re10–re10. 80 indexed citations
11.
Udagawa, Tsuyoshi, Natalie G. Farny, Mira Jakovcevski, et al.. (2013). Genetic and acute CPEB1 depletion ameliorate fragile X pathophysiology. Nature Medicine. 19(11). 1473–1477. 94 indexed citations
12.
Cowansage, Kiriana K., David E. Bush, Sheena A. Josselyn, Eric Klann, & Joseph E. LeDoux. (2013). Basal variability in CREB phosphorylation predicts trait-like differences in amygdala-dependent memory. Proceedings of the National Academy of Sciences. 110(41). 16645–16650. 20 indexed citations
13.
Ma, Tao & Eric Klann. (2011). Amyloid β: linking synaptic plasticity failure to memory disruption in Alzheimer’s disease. Journal of Neurochemistry. 120(s1). 140–148. 112 indexed citations
14.
Suvrathan, Aparna, Charles A. Hoeffer, Helen Wong, Eric Klann, & Sumantra Chattarji. (2010). Characterization and reversal of synaptic defects in the amygdala in a mouse model of fragile X syndrome. Proceedings of the National Academy of Sciences. 107(25). 11591–11596. 115 indexed citations
15.
Monfils, Marie‐H., Kiriana K. Cowansage, Eric Klann, & Joseph E. LeDoux. (2009). Extinction-Reconsolidation Boundaries: Key to Persistent Attenuation of Fear Memories. Science. 324(5929). 951–955. 708 indexed citations breakdown →
16.
Massaad, Charbel, et al.. (2009). Overexpression of SOD-2 reduces hippocampal superoxide and prevents memory deficits in a mouse model of Alzheimer's disease. Proceedings of the National Academy of Sciences. 106(32). 13576–13581. 192 indexed citations
17.
Hoeffer, Charles A., Asim Dey, Nita Sachan, et al.. (2007). The Down Syndrome Critical Region Protein RCAN1 Regulates Long-Term Potentiation and Memory via Inhibition of Phosphatase Signaling. Journal of Neuroscience. 27(48). 13161–13172. 93 indexed citations
19.
Cao, Peng, Edda Thiels, Charleen T. Chu, et al.. (2006). Hippocampal long-term potentiation, memory, and longevity in mice that overexpress mitochondrial superoxide dismutase. Neurobiology of Learning and Memory. 87(3). 372–384. 106 indexed citations
20.
Klann, Eric, Marcia D. Antion, Jessica L. Banko, & Lingfei Hou. (2004). Synaptic Plasticity and Translation Initiation. Learning & Memory. 11(4). 365–372. 94 indexed citations

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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