Libby M. Yunger
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- John A. HarveyStanley A. LorensCarl K. EdwardsKeith W. KelleyRichard D. CramerSyed M. GhiasuddinP. E. SETLERPeter Zarevics
- Topics
- Neurotransmitter Receptor Influence on Behavior (9 papers)Neuroscience and Neuropharmacology Research (8 papers)Stress Responses and Cortisol (3 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Libby M. Yunger
26 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 763
- Molecular Biology 523
- Endocrinology, Diabetes and Metabolism 228
- Physiology 200
- Cognitive Neuroscience 183
Countries citing papers authored by Libby M. Yunger
This map shows the geographic impact of Libby M. Yunger'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 Libby M. Yunger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libby M. Yunger more than expected).
Fields of papers citing papers by Libby M. Yunger
This network shows the impact of papers produced by Libby M. Yunger. 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 Libby M. Yunger. The network helps show where Libby M. Yunger may publish in the future.
Co-authorship network of co-authors of Libby M. Yunger
This figure shows the co-authorship network connecting the top 25 collaborators of Libby M. Yunger. A scholar is included among the top collaborators of Libby M. Yunger 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 Libby M. Yunger. Libby M. Yunger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 80 | |
| 3 | 102 | |
| 4 | 9 | |
| 5 | 176 | |
| 6 | 35 | |
| 7 | 161 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | Measurement of correlation of partition coefficients of polar amino acids. | 68 |
| 11 | 27 | |
| 12 | 140 | |
| 13 | 10 | |
| 14 | 29 | |
| 15 | 30 | |
| 16 | 71 | |
| 17 | 47 | |
| 18 | 40 | |
| 19 | 29 | |
| 20 | 139 |
About Libby M. Yunger
Libby M. Yunger is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (763 citations), Behavioral Neuroscience (126 citations) and Biological Psychiatry (50 citations). Libby M. Yunger has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include John A. Harvey, Stanley A. Lorens, Carl K. Edwards, Keith W. Kelley, Richard D. Cramer, Syed M. Ghiasuddin, P. E. SETLER, Peter Zarevics, Scott E. McMaster and Philip J. Fowler. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Medicinal Chemistry.
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.