Junghyup Suh
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Molecular Biology
- Behavioral Neuroscience top 1%
- Neurology top 2%
- Co-authors
- Susumu TonegawaMichele PignatelliKerry J. ResslerSteve RamirezPei-Ann LinXu LiuTomás J. RyanRoger L. Redondo
- Topics
- Memory and Neural Mechanisms (12 papers)Neuroscience and Neuropharmacology Research (9 papers)Stress Responses and Cortisol (5 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Junghyup Suh
19 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 1.9k
- Cognitive Neuroscience 1.9k
- Molecular Biology 446
- Behavioral Neuroscience 321
- Neurology 312
Countries citing papers authored by Junghyup Suh
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 126 | |
| 5 | 304 | |
| 6 | 27 | |
| 7 | Conjunctive input processing drives feature selectivity in hippocampal CA1 neurons | 30 |
| 8 | 340 | |
| 9 | 250 | |
| 10 | 242 | |
| 11 | Creating a False Memory in the Hippocampusbreakdown → | 612 |
| 12 | 89 | |
| 13 | 363 | |
| 14 | Cell type–specific genetic and optogenetic tools reveal hippocampal CA2 circuits | 3 |
| 15 | 35 | |
| 16 | 262 | |
| 17 | 114 | |
| 18 | 35 | |
| 19 | 1 | |
| 20 | 8 |
About Junghyup Suh
Junghyup Suh is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 2.8k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (12 papers), Neuroscience and Neuropharmacology Research (9 papers) and Stress Responses and Cortisol (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Cognitive Neuroscience (1.9k citations) and Behavioral Neuroscience (321 citations). Junghyup Suh has collaborated with scholars based in United States, Japan and Germany. Frequent 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. Their work appears in journals such as Science, Cell and Neuron.
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.