Mark W. Kimpel

844 total citations
16 papers, 673 citations indexed

About

Mark W. Kimpel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Mark W. Kimpel has authored 16 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Physiology. Recurrent topics in Mark W. Kimpel's work include Peroxisome Proliferator-Activated Receptors (11 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Adipose Tissue and Metabolism (7 papers). Mark W. Kimpel is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (11 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Adipose Tissue and Metabolism (7 papers). Mark W. Kimpel collaborates with scholars based in United States, Italy and Finland. Mark W. Kimpel's co-authors include William J. McBride, Jeanette N. McClintick, Howard J. Edenberg, Tiebing Liang, Richard L. Bell, Lucinda G. Carr, Zachary A. Rodd, Wendy N. Strother, Zheng‐Ming Ding and R. Dayne Mayfield and has published in prestigious journals such as Genome biology, Alcoholism Clinical and Experimental Research and Pharmacology Biochemistry and Behavior.

In The Last Decade

Mark W. Kimpel

16 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark W. Kimpel United States 14 384 321 188 89 82 16 673
Wendy N. Strother United States 14 343 0.9× 375 1.2× 168 0.9× 64 0.7× 87 1.1× 19 699
Vincent Warnault France 12 298 0.8× 479 1.5× 121 0.6× 106 1.2× 43 0.5× 12 848
K. Sato Japan 15 501 1.3× 672 2.1× 143 0.8× 107 1.2× 64 0.8× 24 1.0k
Katerina V. Savelieva United States 15 346 0.9× 295 0.9× 107 0.6× 41 0.5× 127 1.5× 24 797
Karthik Bodhinathan United States 10 264 0.7× 270 0.8× 117 0.6× 95 1.1× 56 0.7× 10 542
Marilyne Labasque France 9 413 1.1× 646 2.0× 114 0.6× 67 0.8× 32 0.4× 11 942
Michiko Kumazaki Japan 17 321 0.8× 482 1.5× 117 0.6× 143 1.6× 37 0.5× 27 812
Rosamaria Orlando Italy 13 229 0.6× 238 0.7× 78 0.4× 64 0.7× 54 0.7× 23 556
A M Szekely United States 8 462 1.2× 600 1.9× 115 0.6× 110 1.2× 41 0.5× 9 838
Robert Waltereit Germany 13 464 1.2× 370 1.2× 201 1.1× 69 0.8× 156 1.9× 28 960

Countries citing papers authored by Mark W. Kimpel

Since Specialization
Citations

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

Fields of papers citing papers by Mark W. Kimpel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark W. Kimpel. 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 Mark W. Kimpel. The network helps show where Mark W. Kimpel may publish in the future.

Co-authorship network of co-authors of Mark W. Kimpel

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

All Works

16 of 16 papers shown
1.
Kimpel, Mark W., et al.. (2022). Using Gaussian mixture model clustering to explore morphology and standardized production of ceramic vessels: A case study of pottery from Late Bronze Age Greece. Journal of Archaeological Science Reports. 45. 103543–103543. 7 indexed citations
2.
McBride, William J., Mark W. Kimpel, Jeanette N. McClintick, et al.. (2013). Changes in gene expression within the ventral tegmental area following repeated excessive binge-like alcohol drinking by alcohol-preferring (P) rats. Alcohol. 47(5). 367–380. 36 indexed citations
3.
McBride, William J., Mark W. Kimpel, Jeanette N. McClintick, et al.. (2013). Changes in gene expression within the extended amygdala following binge-like alcohol drinking by adolescent alcohol-preferring (P) rats. Pharmacology Biochemistry and Behavior. 117. 52–60. 20 indexed citations
4.
McBride, William J., Mark W. Kimpel, Jeanette N. McClintick, et al.. (2013). Gene expression within the extended amygdala of 5 pairs of rat lines selectively bred for high or low ethanol consumption. Alcohol. 47(7). 517–529. 32 indexed citations
5.
McBride, William J., Mark W. Kimpel, Jeanette N. McClintick, et al.. (2012). Gene expression in the ventral tegmental area of 5 pairs of rat lines selectively bred for high or low ethanol consumption. Pharmacology Biochemistry and Behavior. 102(2). 275–285. 35 indexed citations
6.
McBride, William J., et al.. (2010). Changes in gene expression in regions of the extended amygdala of alcohol-preferring rats after binge-like alcohol drinking. Alcohol. 44(2). 171–183. 52 indexed citations
7.
Bice, Paula J., Tiebing Liang, Lili Zhang, et al.. (2010). Fine mapping and expression of candidate genes within the chromosome 10 QTL region of the high and low alcohol-drinking rats. Alcohol. 44(6). 477–485. 13 indexed citations
8.
Liang, Tiebing, Mark W. Kimpel, Jeanette N. McClintick, et al.. (2010). Candidate genes for alcohol preference identified by expression profiling in alcohol-preferring and -nonpreferring reciprocal congenic rats. Genome biology. 11(2). R11–R11. 23 indexed citations
9.
Bell, Richard L., Mark W. Kimpel, Jeanette N. McClintick, et al.. (2009). Gene expression changes in the nucleus accumbens of alcohol-preferring rats following chronic ethanol consumption. Pharmacology Biochemistry and Behavior. 94(1). 131–147. 86 indexed citations
10.
McBride, William J., Mark W. Kimpel, Jeanette N. McClintick, et al.. (2009). Differential effects of ethanol in the nucleus accumbens shell of alcohol-preferring (P), alcohol-non-preferring (NP) and Wistar rats: A proteomics study. Pharmacology Biochemistry and Behavior. 92(2). 304–313. 44 indexed citations
11.
Rodd, Zachary A., Mark W. Kimpel, Howard J. Edenberg, et al.. (2008). Differential gene expression in the nucleus accumbens with ethanol self-administration in inbred alcohol-preferring rats. Pharmacology Biochemistry and Behavior. 89(4). 481–498. 67 indexed citations
12.
Carr, Lucinda G., Mark W. Kimpel, Tiebing Liang, et al.. (2007). Identification of Candidate Genes for Alcohol Preference by Expression Profiling of Congenic Rat Strains. Alcoholism Clinical and Experimental Research. 31(7). 1089–1098. 30 indexed citations
13.
Kimpel, Mark W., Wendy N. Strother, Jeanette N. McClintick, et al.. (2007). Functional gene expression differences between inbred alcohol-preferring and –non-preferring rats in five brain regions. Alcohol. 41(2). 95–132. 90 indexed citations
14.
Bell, Richard L., Mark W. Kimpel, Zachary A. Rodd, et al.. (2006). Protein expression changes in the nucleus accumbens and amygdala of inbred alcohol-preferring rats given either continuous or scheduled access to ethanol. Alcohol. 40(1). 3–17. 51 indexed citations
15.
Witzmann, Frank A., Randy J. Arnold, Fengju Bai, et al.. (2005). A proteomic survey of rat cerebral cortical synaptosomes. PROTEOMICS. 5(8). 2177–2201. 79 indexed citations
16.
Kimpel, Mark W., et al.. (2003). Pain Thresholds in Alcohol Preferring and Non‐preferring Rats: Diurnal and Repeated Trial Line Differences. Alcoholism Clinical and Experimental Research. 27(12). 1921–1928. 8 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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