Megan Libbey

505 citations
6 papers · 414 · h-index 6

Impact in

Papers in

Megan Libbey

6 papers receiving 411 citations

Peers

Megan Libbey
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 156
  • Neurology 50
  • Cognitive Neuroscience 110
  • Behavioral Neuroscience 20
  • Developmental Neuroscience 23
Replace Ayelet Katzoff with:
Ayelet Katzoff Israel
Yoshimoto Kiyohara Japan
Shunit Gal-Ben-Ari Israel
Klaus Wanisch United Kingdom
Ovidiu D. Iancu United States
Clayton A. Smith United States
Joseph Bakes South Korea
Luoxiu Huang United States
Joanna Giza United States
Pavel V. Perestenko United Kingdom
Megan Libbey relative to Ayelet Katzoff Israel Ayelet Katzoff's profile →
Citations per field
00.5×1.5×
Ayelet Katzoff · 1×
Citations per year

Countries citing papers authored by Megan Libbey

Since Specialization
Citations

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

Fields of papers citing papers by Megan Libbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Megan Libbey, 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 Megan Libbey Line = papers co-authored together Megan Libbey links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1998135
2 200181
3 200170
4 200667
5
Behavioral effects of ivermectin in mice.
199935
6 199826

About Megan Libbey

Megan Libbey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Social Psychology, Behavioral Neuroscience and Cognitive Neuroscience, having authored 6 papers that have together received 414 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Stress Responses and Cortisol (2 papers), Neuroendocrine regulation and behavior (2 papers), Congenital heart defects research (1 paper), Attention Deficit Hyperactivity Disorder (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (156 citations), Neurology (50 citations), Cognitive Neuroscience (110 citations), Behavioral Neuroscience (20 citations) and Developmental Neuroscience (23 citations). Megan Libbey has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Jacqueline N. Crawley, Richard Paylor, Susumu Tonegawa, Howard Eichenbaum, Laure Rondi‐Reig, Serge Przedborski, Esta Sterneck, Vernice Jackson‐Lewis, Lino Tessarollo and Peter F. Johnson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Behavioral Neuroscience, Physiology & Behavior, Behavior Genetics and PubMed.

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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