Paula J. Bice

1.4k total citations
38 papers, 1.1k citations indexed

About

Paula J. Bice is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Paula J. Bice has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 19 papers in Genetics and 11 papers in Physiology. Recurrent topics in Paula J. Bice's work include Genetic Mapping and Diversity in Plants and Animals (13 papers), Bioinformatics and Genomic Networks (9 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). Paula J. Bice is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (13 papers), Bioinformatics and Genomic Networks (9 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). Paula J. Bice collaborates with scholars based in United States, South Korea and United Kingdom. Paula J. Bice's co-authors include Stephen W. Kiefer, Tatiana Foroud, Lucinda G. Carr, Lawrence Lumeng, Howard J. Edenberg, Troy A. Gobbett, Ronghai Bo, Peter Castelluccio, Nancy E. Badia‐Elder and Ting‐Kai Li and has published in prestigious journals such as Biological Psychiatry, Alcoholism Clinical and Experimental Research and Pharmacology Biochemistry and Behavior.

In The Last Decade

Paula J. Bice

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula J. Bice United States 18 577 491 234 225 201 38 1.1k
Melinda L. Helms United States 16 443 0.8× 349 0.7× 349 1.5× 334 1.5× 88 0.4× 25 999
Megumi Aita Japan 13 725 1.3× 503 1.0× 274 1.2× 58 0.3× 91 0.5× 22 1.2k
L. A. O’Toole United States 13 424 0.7× 346 0.7× 330 1.4× 377 1.7× 129 0.6× 14 965
Cheryl Reed United States 21 629 1.1× 466 0.9× 153 0.7× 220 1.0× 85 0.4× 44 1.1k
T.‐K. Li United States 11 734 1.3× 445 0.9× 140 0.6× 66 0.3× 80 0.4× 11 969
Guibao Gu United States 13 365 0.6× 280 0.6× 249 1.1× 71 0.3× 73 0.4× 17 1.0k
Craige C. Wrenn United States 21 978 1.7× 692 1.4× 195 0.8× 163 0.7× 68 0.3× 26 1.7k
Nathan R. Rustay United States 16 584 1.0× 419 0.9× 323 1.4× 100 0.4× 49 0.2× 21 1.1k
Dominique Grouselle France 23 373 0.6× 370 0.8× 367 1.6× 89 0.4× 244 1.2× 64 1.5k
Jarlath M.H. ffrench‐Mullen United States 16 535 0.9× 597 1.2× 191 0.8× 128 0.6× 113 0.6× 18 1.4k

Countries citing papers authored by Paula J. Bice

Since Specialization
Citations

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

Fields of papers citing papers by Paula J. Bice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula J. Bice. 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 Paula J. Bice. The network helps show where Paula J. Bice may publish in the future.

Co-authorship network of co-authors of Paula J. Bice

This figure shows the co-authorship network connecting the top 25 collaborators of Paula J. Bice. A scholar is included among the top collaborators of Paula J. Bice 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 Paula J. Bice. Paula J. Bice 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.
Cho, Minyoung, Tamina Park, Paula J. Bice, et al.. (2025). Functional insight into East Asian–specific genetic risk loci for Alzheimer's disease. Alzheimer s & Dementia. 21(2). e14553–e14553. 2 indexed citations
2.
Cho, Minyoung, et al.. (2025). Cell-specific transcriptional signatures of vascular cells in Alzheimer’s disease: perspectives, pathways, and therapeutic directions. Molecular Neurodegeneration. 20(1). 12–12. 3 indexed citations
3.
Park, Tamina, Jung‐Min Pyun, Jeong Su Park, et al.. (2025). Transcriptome analysis of early‐ and late‐onset Alzheimer's disease in Korean cohorts. Alzheimer s & Dementia. 21(2). e14563–e14563. 2 indexed citations
4.
Park, Young Ho, Jung‐Min Pyun, Paula J. Bice, et al.. (2025). miR-423-5p and miR-92a-3p in Alzheimer’s disease: relationship with pathology and cognition. Frontiers in Aging Neuroscience. 17. 1637368–1637368.
5.
Bice, Paula J., et al.. (2025). LD‐informed deep learning for Alzheimer's gene loci detection using WGS data. Alzheimer s & Dementia Translational Research & Clinical Interventions. 11(1). e70041–e70041. 1 indexed citations
6.
Park, Young Ho, Paula J. Bice, David A. Bennett, et al.. (2024). miR‐133b as a potential regulator of a synaptic NPTX2 protein in Alzheimer's disease. Annals of Clinical and Translational Neurology. 11(10). 2799–2804. 4 indexed citations
7.
Pyun, Jung‐Min, Paula J. Bice, David A. Bennett, et al.. (2024). miR-129-5p as a biomarker for pathology and cognitive decline in Alzheimer’s disease. Alzheimer s Research & Therapy. 16(1). 5–5. 11 indexed citations
8.
Pyun, Jung‐Min, Young Ho Park, Jiebiao Wang, et al.. (2023). Transcriptional risk scores in Alzheimer's disease: From pathology to cognition. Alzheimer s & Dementia. 20(1). 243–252. 5 indexed citations
9.
Nho, Kwangsik, et al.. (2022). Deep learning-based identification of genetic variants: application to Alzheimer’s disease classification. Briefings in Bioinformatics. 23(2). 44 indexed citations
10.
Risacher, Shannon L., Yu‐Chien Wu, Liana G. Apostolova, et al.. (2022). Altered cerebral blood flow in older adults with Alzheimer’s disease: a systematic review. Brain Imaging and Behavior. 17(2). 223–256. 23 indexed citations
11.
Spence, John C. H., Jennifer L. Buddenbaum, Paula J. Bice, Julie L. Welch, & Aaron E. Carroll. (2018). Independent investigator incubator (I3): a comprehensive mentorship program to jumpstart productive research careers for junior faculty. PMC.
12.
13.
Spence, John C. H., Jennifer L. Buddenbaum, Paula J. Bice, Julie L. Welch, & Aaron E. Carroll. (2018). Independent investigator incubator (I3): a comprehensive mentorship program to jumpstart productive research careers for junior faculty. BMC Medical Education. 18(1). 186–186. 38 indexed citations
14.
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
15.
Bice, Paula J., Tiebing Liang, Lili Zhang, Wendy N. Strother, & Lucinda G. Carr. (2008). Drd2 expression in the high alcohol-preferring and low alcohol-preferring mice. Mammalian Genome. 19(2). 69–76. 26 indexed citations
16.
Bice, Paula J., Tatiana Foroud, Lucinda G. Carr, et al.. (2006). Identification of QTLs Influencing Alcohol Preference in the High Alcohol Preferring (HAP) and Low Alcohol Preferring (LAP) Mouse Lines. Behavior Genetics. 36(2). 248–260. 35 indexed citations
17.
Foroud, Tatiana, Paula J. Bice, Peter Castelluccio, et al.. (2002). Mapping of QTL Influencing Saccharin Consumption in the Selectively Bred Alcohol-Preferring and -Nonpreferring Rat Lines. Behavior Genetics. 32(1). 57–67. 19 indexed citations
18.
Bice, Paula J., et al.. (1992). Evaluating the palatability of alcohol for rats with measures of taste reactivity, consumption, and lick rate. Alcohol. 9(5). 381–387. 20 indexed citations
19.
Kiefer, Stephen W., et al.. (1990). Similarity of taste reactivity responses to alcohol and sucrose mixtures in rats. Alcohol. 7(2). 115–120. 52 indexed citations
20.
Bice, Paula J. & Stephen W. Kiefer. (1989). Taste reactivity in alcohol preferring p and non preferring np rats. The Society for Neuroscience Abstracts. 15(1). 36. 1 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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