Laura Cipp

482 total citations
9 papers, 426 citations indexed

About

Laura Cipp is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Laura Cipp has authored 9 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Laura Cipp's work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Laura Cipp is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Laura Cipp collaborates with scholars based in United States and United Kingdom. Laura Cipp's 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 John Gatley and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Laura Cipp

9 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laura Cipp United States 9 246 138 115 110 86 9 426
Kari Buck United States 9 208 0.8× 283 2.1× 73 0.6× 236 2.1× 46 0.5× 12 556
Denesa Oberbeck United States 11 118 0.5× 189 1.4× 106 0.9× 105 1.0× 20 0.2× 14 364
Gillian Gregory Australia 11 210 0.9× 274 2.0× 180 1.6× 185 1.7× 47 0.5× 16 579
Alison L. Atkins United States 10 65 0.3× 130 0.9× 67 0.6× 124 1.1× 17 0.2× 10 402
Kei-ichiro Maeda Japan 15 191 0.8× 398 2.9× 113 1.0× 140 1.3× 12 0.1× 15 1.1k
Huey‐Jen Tsay Taiwan 10 71 0.3× 492 3.6× 49 0.4× 215 2.0× 20 0.2× 18 628
Martina Erdtmann-Vourliotis Germany 10 232 0.9× 359 2.6× 51 0.4× 290 2.6× 55 0.6× 13 660
Mei Sun United States 11 178 0.7× 316 2.3× 12 0.1× 242 2.2× 78 0.9× 16 560
Heather M. Hood United States 11 47 0.2× 266 1.9× 27 0.2× 148 1.3× 58 0.7× 14 416
Yong Ping China 13 34 0.1× 235 1.7× 86 0.7× 187 1.7× 20 0.2× 29 517

Countries citing papers authored by Laura Cipp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Laura Cipp

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Cipp. A scholar is included among the top collaborators of Laura Cipp 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 Laura Cipp. Laura Cipp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hitzemann, R., Cheryl Reed, Kristin Demarest, et al.. (2002). Multiple Cross Mapping (MCM) markedly improves the localization of a QTL for ethanol‐induced activation. Genes Brain & Behavior. 1(4). 214–222. 42 indexed citations
2.
Demarest, Kristin, Jay L. Koyner, James A. McCaughran, Laura Cipp, & Robert Hitzemann. (2001). Further Characterization and High-Resolution Mapping of Quantitative Trait Loci for Ethanol-Induced Locomotor Activity. Behavior Genetics. 31(1). 79–91. 90 indexed citations
3.
Koyner, Jay L., Kristin Demarest, James A. McCaughran, Laura Cipp, & Robert Hitzemann. (2000). Identification and Time Dependence of Quantitative Trait Loci for Basal Locomotor Activity in the BXD Recombinant Inbred Series and a B6D2 F2 Intercross. Behavior Genetics. 30(3). 159–170. 43 indexed citations
4.
Hitzemann, Robert, Kristin Demarest, Jay L. Koyner, et al.. (2000). Effect of genetic cross on the detection of quantitative trait loci and a novel approach to mapping QTLs. Pharmacology Biochemistry and Behavior. 67(4). 767–772. 32 indexed citations
5.
Cipp, Laura, et al.. (1999). Identification of Quantitative Trait Loci for Haloperidol-Induced Catalepsy on Mouse Chromosome 14. Journal of Pharmacology and Experimental Therapeutics. 290(3). 1337–1346. 10 indexed citations
6.
Demarest, Kristin, et al.. (1999). Identification of an Acute Ethanol Response Quantitative Trait Locus on Mouse Chromosome 2. Journal of Neuroscience. 19(2). 549–561. 74 indexed citations
7.
Hitzemann, Robert, et al.. (1998). Genetics of ethanol-induced locomotor activation: detection of QTLs in a C57BL/6J × DBA/2J F 2 intercross. Mammalian Genome. 9(12). 956–962. 29 indexed citations
8.
Kanes, Stephen, Katherine M. Dains, Laura Cipp, et al.. (1996). Mapping the genes for haloperidol-induced catalepsy.. Journal of Pharmacology and Experimental Therapeutics. 277(2). 1016–1025. 37 indexed citations
9.
Mooradian, Arshag D., Anne M. Morin, Laura Cipp, & Howard C. Haspel. (1991). Glucose transport is reduced in the blood-brain barrier of aged rats. Brain Research. 551(1-2). 145–149. 69 indexed citations

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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