Junghyup Suh

4.2k total citations · 1 hit paper
20 papers, 2.8k citations indexed

About

Junghyup Suh is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Junghyup Suh has authored 20 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Junghyup Suh's work include Memory and Neural Mechanisms (12 papers), Neuroscience and Neuropharmacology Research (9 papers) and Stress Responses and Cortisol (5 papers). Junghyup Suh is often cited by papers focused on Memory and Neural Mechanisms (12 papers), Neuroscience and Neuropharmacology Research (9 papers) and Stress Responses and Cortisol (5 papers). Junghyup Suh collaborates with scholars based in United States, Japan and Germany. Junghyup Suh's co-authors include Susumu Tonegawa, Michele Pignatelli, Kerry J. Ressler, Steve Ramirez, Pei-Ann Lin, Xu Liu, Tomás J. Ryan, Roger L. Redondo, Robert J. Fenster and Lauren A. M. Lebois and has published in prestigious journals such as Science, Cell and Neuron.

In The Last Decade

Junghyup Suh

19 papers receiving 2.8k citations

Hit Papers

Creating a False Memory in the Hippocampus 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junghyup Suh United States 14 1.9k 1.9k 446 321 312 20 2.8k
Roger L. Clem United States 22 1.5k 0.8× 1.2k 0.6× 587 1.3× 374 1.2× 231 0.7× 35 2.2k
Maria Toledo‐Rodriguez United Kingdom 18 2.5k 1.3× 2.1k 1.1× 860 1.9× 279 0.9× 372 1.2× 23 3.7k
Valérie Doyère France 27 1.6k 0.8× 1.7k 0.9× 487 1.1× 423 1.3× 254 0.8× 77 2.5k
Pascal Roullet France 30 1.4k 0.7× 1.4k 0.7× 528 1.2× 312 1.0× 329 1.1× 50 2.3k
Thomas Seidenbecher Germany 30 2.2k 1.1× 2.3k 1.2× 645 1.4× 701 2.2× 288 0.9× 55 3.5k
Amy Milton United Kingdom 21 1.7k 0.9× 2.0k 1.1× 447 1.0× 499 1.6× 224 0.7× 49 2.6k
Tobias Bast United Kingdom 26 2.0k 1.0× 1.7k 0.9× 485 1.1× 756 2.4× 353 1.1× 44 3.1k
Timothy Spellman United States 16 1.3k 0.7× 1.5k 0.8× 388 0.9× 226 0.7× 301 1.0× 21 2.5k
Yogita Chudasama United States 30 2.1k 1.1× 2.3k 1.2× 648 1.5× 445 1.4× 169 0.5× 42 3.6k
Guy Mittleman United States 37 1.9k 1.0× 1.3k 0.7× 778 1.7× 351 1.1× 353 1.1× 96 3.4k

Countries citing papers authored by Junghyup Suh

Since Specialization
Citations

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

Fields of papers citing papers by Junghyup Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junghyup Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Junghyup Suh. A scholar is included among the top collaborators of Junghyup Suh 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 Junghyup Suh. Junghyup Suh 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.
Suh, Junghyup, et al.. (2025). Projection-specific roles of basolateral amygdala Thy1 neurons in alcohol-induced place preference. Molecular Psychiatry. 31(1). 407–417.
2.
3.
Lardenoije, Roy, Emily L. Newman, Klaus A. Miczek, et al.. (2022). Genome-wide transcriptomics of the amygdala reveals similar oligodendrocyte-related responses to acute and chronic alcohol drinking in female mice. Translational Psychiatry. 12(1). 476–476. 4 indexed citations
4.
Newman, Emily L., Herbert E. Covington, Junghyup Suh, et al.. (2019). Fighting Females: Neural and Behavioral Consequences of Social Defeat Stress in Female Mice. Biological Psychiatry. 86(9). 657–668. 126 indexed citations
5.
Fenster, Robert J., Lauren A. M. Lebois, Kerry J. Ressler, & Junghyup Suh. (2018). Brain circuit dysfunction in post-traumatic stress disorder: from mouse to man. Nature reviews. Neuroscience. 19(9). 535–551. 304 indexed citations
6.
Suh, Junghyup. (2018). Common Biological Mechanisms of Alcohol Use Disorder and Post-Traumatic Stress Disorder. Alcohol research. 39(2). 131–131. 27 indexed citations
7.
Bittner, Katie C., Christine Grienberger, Sachin P Vaidya, et al.. (2015). Conjunctive input processing drives feature selectivity in hippocampal CA1 neurons. DSpace@MIT (Massachusetts Institute of Technology). 30 indexed citations
8.
Bittner, Katie C., Christine Grienberger, Sachin P Vaidya, et al.. (2015). Conjunctive input processing drives feature selectivity in hippocampal CA1 neurons. Nature Neuroscience. 18(8). 1133–1142. 340 indexed citations
9.
Yamamoto, J., Junghyup Suh, Daigo Takeuchi, & Susumu Tonegawa. (2014). Successful Execution of Working Memory Linked to Synchronized High-Frequency Gamma Oscillations. Cell. 157(4). 845–857. 250 indexed citations
10.
Kitamura, Takashi, Michele Pignatelli, Junghyup Suh, et al.. (2014). Island Cells Control Temporal Association Memory. Science. 343(6173). 896–901. 242 indexed citations
11.
Ramirez, Steve, Xu Liu, Pei-Ann Lin, et al.. (2013). Creating a False Memory in the Hippocampus. Science. 341(6144). 387–391. 612 indexed citations breakdown →
12.
Suh, Junghyup, David J. Foster, Heydar Davoudi, Matthew A. Wilson, & Susumu Tonegawa. (2013). Impaired Hippocampal Ripple-Associated Replay in a Mouse Model of Schizophrenia. Neuron. 80(2). 484–493. 89 indexed citations
13.
Kohara, Keigo, Michele Pignatelli, Takashi Kitamura, et al.. (2013). Cell type–specific genetic and optogenetic tools reveal hippocampal CA2 circuits. Nature Neuroscience. 17(2). 269–279. 363 indexed citations
14.
Kohara, Keigo, Susumu Tonegawa, Takashi Kitamura, et al.. (2013). Cell type–specific genetic and optogenetic tools reveal hippocampal CA2 circuits. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations
15.
Place, Ryan, Junghyup Suh, Thomas J. McHugh, et al.. (2012). NMDA signaling in CA1 mediates selectively the spatial component of episodic memory. Learning & Memory. 19(4). 164–169. 35 indexed citations
16.
Suh, Junghyup, et al.. (2011). Entorhinal Cortex Layer III Input to the Hippocampus Is Crucial for Temporal Association Memory. Science. 334(6061). 1415–1420. 262 indexed citations
17.
Suh, Junghyup, et al.. (2001). PACAP is an anti-mitogenic signal in developing cerebral cortex. Nature Neuroscience. 4(2). 123–124. 114 indexed citations
18.
Zhou, Xiaofeng, Junghyup Suh, Douglas Pat Cerretti, Renping Zhou, & Emanuel DiCicco‐Bloom. (2001). Ephrins stimulate neurite outgrowth during early cortical neurogenesis. Journal of Neuroscience Research. 66(6). 1054–1063. 35 indexed citations
19.
Zhou, Xiaofeng, Junghyup Suh, Douglas Pat Cerretti, Renping Zhou, & Emanuel DiCicco‐Bloom. (2001). Ephrins stimulate neurite outgrowth during early cortical neurogenesis. Journal of Neuroscience Research. 66(6). 1054–1054. 1 indexed citations
20.
Suh, Junghyup, et al.. (1994). Cross-talk between N-methyl-d-aspartate and adrenergic neurotransmission in the regulation of hypothalamic GnRH gene expression. Brain Research. 645(1-2). 36–40. 8 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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