Raehum Paik
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neurobiology and Insect Physiology Research
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Cancer-related gene regulation 2
- Wnt/β-catenin signaling in development and cancer 2
- Receptor Mechanisms and Signaling 2
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- Neurobiology and Insect Physiology Research 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Z. Josh Huang (3 shared papers)Miao He (3 shared papers)Yu Fu (2 shared papers)Ken Sugino (2 shared papers)Gord Fishell (2 shared papers)Sang Yong Kim (2 shared papers)Jiangteng Lu (2 shared papers)Goichi Miyoshi (2 shared papers)
- Journals
- Neuron (2 papers)Journal of Neuroscience (2 papers)PLoS ONE (1 paper)Science (1 paper)Development (1 paper)
- Partner nations
- United StatesBulgariaRussia
In The Last Decade
Raehum Paik
9 papers receiving 1.8k citations
Raehum Paik's Hit Papers
Peers
Comparison fields: 5 of 92
- Cellular and Molecular Neuroscience 1.1k
- Cognitive Neuroscience 723
- Behavioral Neuroscience 128
- Developmental Neuroscience 137
- Endocrine and Autonomic Systems 171
Countries citing papers authored by Raehum Paik
This map shows the geographic impact of Raehum Paik'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 Raehum Paik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raehum Paik more than expected).
Fields of papers citing papers by Raehum Paik
This network shows the impact of papers produced by Raehum Paik. 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 Raehum Paik. The network helps show where Raehum Paik may publish in the future.
Co-authors
The 25 scholars most cited alongside Raehum Paik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Resource of Cre Driver Lines for Genetic Targeting of GABAergic Neurons in Cerebral Cortex Hit paper breakdown → | 2011 | 1359 |
| 2 | 2018 | 110 | |
| 3 | 2006 | 93 | |
| 4 | 2014 | 91 | |
| 5 | 2007 | 78 | |
| 6 | 2008 | 49 | |
| 7 | 2011 | 43 | |
| 8 | 2011 | 8 | |
| 9 | 2021 | 1 |
About Raehum Paik
Raehum Paik is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cell Biology and Ecology, having authored 9 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neurobiology and Insect Physiology Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Receptor Mechanisms and Signaling (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Cognitive Neuroscience (723 citations), Behavioral Neuroscience (128 citations), Developmental Neuroscience (137 citations) and Endocrine and Autonomic Systems (171 citations). Raehum Paik has collaborated with scholars based in United States, Bulgaria and Russia. Frequent co-authors include Z. Josh Huang, Miao He, Yu Fu, Ken Sugino, Gord Fishell, Sang Yong Kim, Jiangteng Lu, Goichi Miyoshi, Sacha B. Nelson and Priscilla Wu. Their work appears in journals such as Neuron, Journal of Neuroscience, PLoS ONE, Science and Development.
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.