Raehum Paik

2.7k citations
9 papers · 1.8k indexed · 1 hit paper · h-index 8

Impact in

Papers in

Raehum Paik

9 papers receiving 1.8k citations

Hit Papers

A Resource of Cre Driver Lines for Genetic Targeting of GABAergic Neurons in Cerebral Cortex 2011 · 1.3k citations
1.3k20112026201620214008001.2k

Peers

Raehum Paik
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 1.1k
  • Cognitive Neuroscience 737
  • Behavioral Neuroscience 133
  • Developmental Neuroscience 141
  • Endocrine and Autonomic Systems 175
Replace Jason Tucciarone with:
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Jiangteng Lu United States
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Melanie A. Woodin Canada
Drew Friedmann United States
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Raehum Paik relative to Jason Tucciarone United States Jason Tucciarone's profile →
Citations per field
00.5×1.5×
Jason Tucciarone · 1×
Citations per year

Countries citing papers authored by Raehum Paik

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Raehum Paik Line = papers co-authored together Raehum Paik links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20211
2 2018106
3 201488
4
A Resource of Cre Driver Lines for Genetic Targeting of GABAergic Neurons in Cerebral Cortex
Hit paper breakdown →
20111335
5 20118
6 201143
7 200849
8 200779
9 200693

About Raehum Paik

Raehum Paik is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cell Biology, Molecular Biology and Immunology, 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), Hippo pathway signaling and YAP/TAZ (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related gene regulation (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Physiological and biochemical adaptations (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Cognitive Neuroscience (737 citations), Behavioral Neuroscience (133 citations), Developmental Neuroscience (141 citations) and Endocrine and Autonomic Systems (175 citations). Raehum Paik has collaborated with scholars based in United States, Bulgaria and Russia. Frequent co-authors include Miao He, Z. Josh Huang, Jiangteng Lu, Priscilla Wu, Goichi Miyoshi, Gord Fishell, Yasuyuki Shima, Ken Sugino, Yu Fu and Sang Yong Kim. Their work appears in journals such as Neuron, Journal of Neuroscience, Development, Science and PLoS ONE.

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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