Rachel Blaser

2.5k total citations
40 papers, 1.9k citations indexed

About

Rachel Blaser is a scholar working on Cell Biology, Electrical and Electronic Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Rachel Blaser has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cell Biology, 11 papers in Electrical and Electronic Engineering and 8 papers in Nature and Landscape Conservation. Recurrent topics in Rachel Blaser's work include Zebrafish Biomedical Research Applications (17 papers), Memory and Neural Mechanisms (8 papers) and Fish Ecology and Management Studies (8 papers). Rachel Blaser is often cited by papers focused on Zebrafish Biomedical Research Applications (17 papers), Memory and Neural Mechanisms (8 papers) and Fish Ecology and Management Studies (8 papers). Rachel Blaser collaborates with scholars based in United States, Germany and Brazil. Rachel Blaser's co-authors include Robert Gerlai, Denis B. Rosemberg, Leah Chadwick, Vallent Lee, Diogo Lösch de Oliveira, Charles J. Heyser, Eduardo Pacheco Rico, Diogo O. Souza, Renato Dutra Dias and Ben Hur Marins Mussulini and has published in prestigious journals such as PLoS ONE, Journal of Power Sources and ACS Applied Materials & Interfaces.

In The Last Decade

Rachel Blaser

39 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel Blaser United States 19 1.3k 385 300 284 270 40 1.9k
Amauri Gouvêia Brazil 18 1.1k 0.9× 333 0.9× 400 1.3× 250 0.9× 275 1.0× 76 2.0k
Marco Elegante United States 5 1.1k 0.8× 270 0.7× 259 0.9× 204 0.7× 160 0.6× 5 1.4k
Salem Elkhayat United States 2 958 0.7× 247 0.6× 244 0.8× 164 0.6× 151 0.6× 2 1.2k
David J. Echevarria United States 20 956 0.7× 211 0.5× 408 1.4× 489 1.7× 214 0.8× 35 2.0k
Jonathan Cachat United States 22 2.1k 1.6× 492 1.3× 569 1.9× 501 1.8× 320 1.2× 27 3.0k
Murilo S. de Abreu Brazil 32 2.0k 1.5× 373 1.0× 607 2.0× 331 1.2× 350 1.3× 137 3.1k
David Tien United States 2 891 0.7× 242 0.6× 215 0.7× 155 0.5× 146 0.5× 2 1.2k
Rupert J. Egan United States 7 813 0.6× 221 0.6× 231 0.8× 146 0.5× 140 0.5× 8 1.2k
Carisa Bergner United States 10 816 0.6× 221 0.6× 254 0.8× 162 0.6× 148 0.5× 27 1.3k
Bárbara D. Fontana Brazil 25 1.1k 0.8× 168 0.4× 268 0.9× 246 0.9× 114 0.4× 71 1.6k

Countries citing papers authored by Rachel Blaser

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Blaser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Blaser

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

All Works

20 of 20 papers shown
1.
Blaser, Rachel, et al.. (2023). Target number influences strategy use by rats (Rattus norvegicus) in the traveling salesperson problem.. Journal of comparative psychology. 137(4). 238–248. 1 indexed citations
2.
3.
Miller, Chris, et al.. (2022). A Semi-Empirical Approach to a Physically Based Aging Model for Home Energy Management Systems. 165–170. 2 indexed citations
4.
Haridas, Anulekha K., et al.. (2021). Investigating the Compatibility of TTMSP and FEC Electrolyte Additives for LiNi0.5Mn0.3Co0.2O2 (NMC)–Silicon Lithium-Ion Batteries. ACS Applied Materials & Interfaces. 13(2). 2662–2673. 59 indexed citations
5.
Hales, Jena B., et al.. (2021). Contribution of the hippocampus to performance on the traveling salesperson problem in rats. Behavioural Brain Research. 405. 113177–113177. 1 indexed citations
6.
7.
Blaser, Rachel, et al.. (2015). Some factors affecting performance of rats in the traveling salesman problem. Animal Cognition. 18(6). 1207–1219. 6 indexed citations
8.
Fontana, Bárbara D., et al.. (2015). Modulatory action of taurine on ethanol-induced aggressive behavior in zebrafish. Pharmacology Biochemistry and Behavior. 141. 18–27. 50 indexed citations
9.
Blaser, Rachel, et al.. (2014). Experiments on learning in zebrafish (Danio rerio): A promising model of neurocognitive function. Neuroscience & Biobehavioral Reviews. 42. 224–231. 45 indexed citations
10.
Bertoncello, Kanandra Taisa, Cassiano L. Rambo, Rachel Blaser, et al.. (2014). Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish. Neurotoxicology and Teratology. 44. 62–69. 82 indexed citations
11.
Yang, Ming, Hang Chi, Rachel Blaser, et al.. (2014). Anisotropic thermal transport in MOF-5 composites. International Journal of Heat and Mass Transfer. 82. 250–258. 30 indexed citations
12.
Blaser, Rachel, et al.. (2012). A comparison of human performance in figural and navigational versions of the traveling salesman problem. Psychological Research. 77(6). 761–772. 6 indexed citations
13.
Blaser, Rachel & Denis B. Rosemberg. (2012). Measures of Anxiety in Zebrafish (Danio rerio): Dissociation of Black/White Preference and Novel Tank Test. PLoS ONE. 7(5). e36931–e36931. 226 indexed citations
14.
Rosemberg, Denis B., Eduardo Pacheco Rico, Ben Hur Marins Mussulini, et al.. (2011). Differences in Spatio-Temporal Behavior of Zebrafish in the Open Tank Paradigm after a Short-Period Confinement into Dark and Bright Environments. PLoS ONE. 6(5). e19397–e19397. 148 indexed citations
15.
Blaser, Rachel, et al.. (2011). Stimuli affecting zebrafish (Danio rerio) behavior in the light/dark preference test. Physiology & Behavior. 104(5). 831–837. 107 indexed citations
16.
Blaser, Rachel, et al.. (2009). Behavioral measures of anxiety in zebrafish (Danio rerio). Behavioural Brain Research. 208(1). 56–62. 247 indexed citations
17.
Blaser, Rachel, P. A. Couvillon, & M. E. Bitterman. (2008). Within-subjects experiments on blocking and facilitation in honeybees (Apis mellifera).. Journal of comparative psychology. 122(4). 373–378. 10 indexed citations
18.
Gerlai, Robert, Vallent Lee, & Rachel Blaser. (2006). Effects of acute and chronic ethanol exposure on the behavior of adult zebrafish (Danio rerio). Pharmacology Biochemistry and Behavior. 85(4). 752–761. 179 indexed citations
19.
Blaser, Rachel & Robert Gerlai. (2006). Behavioral phenotyping in zebrafish: Comparison of three behavioral quantification methods. Behavior Research Methods. 38(3). 456–469. 220 indexed citations
20.
Gobrecht, H., et al.. (1966). Dynamische Untersuchungen an der Phasengrenze Germanium‐Elektrolyt. Mitteilung II: Ein spezielles Polarisationsverfahren zur Untersuchung von Halbleiterelektroden. Berichte der Bunsengesellschaft für physikalische Chemie. 70(6). 646–654. 7 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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