Susan M. Brasser

934 total citations
26 papers, 778 citations indexed

About

Susan M. Brasser is a scholar working on Pathology and Forensic Medicine, Nutrition and Dietetics and Sensory Systems. According to data from OpenAlex, Susan M. Brasser has authored 26 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 9 papers in Nutrition and Dietetics and 8 papers in Sensory Systems. Recurrent topics in Susan M. Brasser's work include Alcohol Consumption and Health Effects (8 papers), Biochemical Analysis and Sensing Techniques (8 papers) and Olfactory and Sensory Function Studies (7 papers). Susan M. Brasser is often cited by papers focused on Alcohol Consumption and Health Effects (8 papers), Biochemical Analysis and Sensing Techniques (8 papers) and Olfactory and Sensory Function Studies (7 papers). Susan M. Brasser collaborates with scholars based in United States, Germany and Singapore. Susan M. Brasser's co-authors include Norman E. Spear, Christian H. Lemon, David V. Smith, Mee Young Hong, Sharon Walsh, Eric C. Donny, George E. Bigelow, Maxine L. Stitzer, Khyobeni Mozhui and Jarrod M. Ellingson and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and The FASEB Journal.

In The Last Decade

Susan M. Brasser

26 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan M. Brasser United States 17 268 186 160 140 136 26 778
Stefany D. Primeaux United States 23 527 2.0× 226 1.2× 128 0.8× 315 2.3× 127 0.9× 54 1.3k
Alexei B. Kampov‐Polevoy United States 8 291 1.1× 161 0.9× 67 0.4× 95 0.7× 60 0.4× 11 657
Lori Asarian Switzerland 14 132 0.5× 401 2.2× 88 0.6× 201 1.4× 29 0.2× 26 1.7k
Giuseppe Scalera Italy 16 231 0.9× 252 1.4× 160 1.0× 129 0.9× 81 0.6× 24 697
James H. Peters United States 20 381 1.4× 366 2.0× 278 1.7× 284 2.0× 155 1.1× 39 1.3k
Y. Taché United States 21 541 2.0× 241 1.3× 67 0.4× 220 1.6× 40 0.3× 36 1.3k
Michael D. Kendig Australia 17 114 0.4× 197 1.1× 43 0.3× 115 0.8× 51 0.4× 46 715
Jaime Lin Brazil 17 353 1.3× 81 0.4× 16 0.1× 230 1.6× 92 0.7× 48 1.1k
Stephen J. Kentish Australia 18 76 0.3× 233 1.3× 79 0.5× 382 2.7× 64 0.5× 35 1.2k
M Pellicano Italy 21 356 1.3× 72 0.4× 27 0.2× 221 1.6× 165 1.2× 66 1.2k

Countries citing papers authored by Susan M. Brasser

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Brasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Brasser. 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 Susan M. Brasser. The network helps show where Susan M. Brasser may publish in the future.

Co-authorship network of co-authors of Susan M. Brasser

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Brasser. A scholar is included among the top collaborators of Susan M. Brasser 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 Susan M. Brasser. Susan M. Brasser 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.
Quigley, Jacqueline, et al.. (2024). Effects of moderate ethanol exposure on risk factors for cardiovascular disease and colorectal cancer in adult Wistar rats. Alcohol. 117. 55–63. 4 indexed citations
2.
Brasser, Susan M., et al.. (2022). Effects of moderate ethanol consumption as a function of n-6:n-3 dietary ratio on lipid profile, inflammation, and liver function in mice. International Journal of Cardiology Cardiovascular Risk and Prevention. 14. 200132–200132. 2 indexed citations
3.
Quigley, Jacqueline, et al.. (2020). Effects of low-to-moderate ethanol consumption on colonic growth and gene expression in young adult and middle-aged male rats. PLoS ONE. 15(12). e0243499–e0243499. 6 indexed citations
4.
Brasser, Susan M., et al.. (2018). Effects of Moderate Ethanol Consumption on Lipid Metabolism and Inflammation Through Regulation of Gene Expression in Rats. Alcohol and Alcoholism. 54(1). 5–12. 17 indexed citations
5.
Torres, Pedro J., et al.. (2018). Effects of moderate, voluntary ethanol consumption on the rat and human gut microbiome. Addiction Biology. 24(4). 617–630. 51 indexed citations
6.
7.
Brasser, Susan M., et al.. (2015). Moderate Alcohol Consumption and Colorectal Cancer Risk. Alcoholism Clinical and Experimental Research. 39(8). 1280–1291. 42 indexed citations
8.
Castro, Norma, Jeffrey J. Olney, Wei Wang, et al.. (2015). Chronic Voluntary Ethanol Consumption Induces Favorable Ceramide Profiles in Selectively Bred Alcohol-Preferring (P) Rats. PLoS ONE. 10(9). e0139012–e0139012. 20 indexed citations
9.
Brasser, Susan M., et al.. (2014). Alcohol sensory processing and its relevance for ingestion. Physiology & Behavior. 148. 65–70. 10 indexed citations
11.
Brasser, Susan M., et al.. (2010). T1r3 taste receptor involvement in gustatory neural responses to ethanol and oral ethanol preference. Physiological Genomics. 41(3). 232–243. 30 indexed citations
12.
Ellingson, Jarrod M., et al.. (2008). Reduced Oral Ethanol Avoidance in Mice Lacking Transient Receptor Potential Channel Vanilloid Receptor 1. Behavior Genetics. 39(1). 62–72. 33 indexed citations
13.
Donny, Eric C., Susan M. Brasser, George E. Bigelow, Maxine L. Stitzer, & Sharon Walsh. (2005). Methadone doses of 100 mg or greater are more effective than lower doses at suppressing heroin self‐administration in opioid‐dependent volunteers. Addiction. 100(10). 1496–1509. 96 indexed citations
14.
Brasser, Susan M., Khyobeni Mozhui, & David V. Smith. (2005). Differential Covariation in Taste Responsiveness to Bitter Stimuli in Rats. Chemical Senses. 30(9). 793–799. 33 indexed citations
15.
Brasser, Susan M.. (2003). Contextual conditioning in infants, but not older animals, is facilitated by CS conditioning. Neurobiology of Learning and Memory. 81(1). 46–59. 48 indexed citations
16.
Brasser, Susan M. & Norman E. Spear. (2002). Physiological and behavioral effects of acute ethanol hangover in juvenile, adolescent, and adult rats.. Behavioral Neuroscience. 116(2). 305–320. 69 indexed citations
17.
Brasser, Susan M., et al.. (2002). Developmental differences in temporal patterns and potentiation of isolation‐induced ultrasonic vocalizations: Influence of temperature variables. Developmental Psychobiology. 40(2). 147–159. 35 indexed citations
18.
Brasser, Susan M. & Norman E. Spear. (1998). A sensory-enhanced context facilitates learning and multiple measures of unconditioned stimulus processing in the preweanling rat.. Behavioral Neuroscience. 112(1). 126–140. 31 indexed citations
19.
Brasser, Susan M. & Norman E. Spear. (1998). A sensory-enhanced context facilitates learning and multiple measures of unconditioned stimulus processing in the preweanling rat.. Behavioral Neuroscience. 112(1). 126–140. 31 indexed citations
20.
Moye, Thomas B., et al.. (1992). Contextual control of conflicting associations in the developing rat. Developmental Psychobiology. 25(3). 151–164. 6 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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