Laura Cipp
Impact in
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
-
- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
- Machine Learning in Bioinformatics 1
- Genetics 6
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic and phenotypic traits in livestock 4
- Co-authors
- Kristin Demarest (6 shared papers)Robert Hitzemann (6 shared papers)James A. McCaughran (6 shared papers)Jay L. Koyner (4 shared papers)Howard C. Haspel (1 shared paper)Arshag D. Mooradian (1 shared paper)Anne M. Morin (1 shared paper)R. Hitzemann (2 shared papers)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (2 papers)Behavior Genetics (2 papers)Mammalian Genome (1 paper)Pharmacology Biochemistry and Behavior (1 paper)Genes Brain & Behavior (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Laura Cipp
9 papers receiving 416 citations
Peers
Comparison fields: 5 of 56
- Genetics 246
- Cellular and Molecular Neuroscience 110
- Neurology 38
- Physiology 115
- Aging 7
Countries citing papers authored by Laura Cipp
This map shows the geographic impact of Laura Cipp'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 Laura Cipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Cipp more than expected).
Fields of papers citing papers by Laura Cipp
This network shows the impact of papers produced by Laura Cipp. 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 Laura Cipp. The network helps show where Laura Cipp may publish in the future.
Co-authors
The 21 scholars most cited alongside Laura Cipp, 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 | 2001 | 90 | |
| 2 | 1999 | 74 | |
| 3 | 1991 | 69 | |
| 4 | 2000 | 43 | |
| 5 | 2002 | 42 | |
| 6 | 1996 | 37 | |
| 7 | 2000 | 32 | |
| 8 | 1998 | 29 | |
| 9 | 1999 | 10 |
About Laura Cipp
Laura Cipp is a scholar working on Molecular Biology, Genetics, Plant Science, Physiology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 426 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Genetics and Plant Breeding (2 papers), Metabolism and Genetic Disorders (1 paper), Machine Learning in Bioinformatics (1 paper), GABA and Rice Research (1 paper) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Genetics (246 citations), Cellular and Molecular Neuroscience (110 citations), Neurology (38 citations), Physiology (115 citations) and Aging (7 citations). Laura Cipp has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kristin Demarest, Robert Hitzemann, James A. McCaughran, Jay L. Koyner, Howard C. Haspel, Arshag D. Mooradian, Anne M. Morin, R. Hitzemann, Nilay Patel and Barbara Hitzemann. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Behavior Genetics, Mammalian Genome, Pharmacology Biochemistry and Behavior and Genes Brain & Behavior.
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.