Paula Hoffman

1.2k total citations · 1 hit paper
18 papers, 749 citations indexed

About

Paula Hoffman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Paula Hoffman has authored 18 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Genetics. Recurrent topics in Paula Hoffman's work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Adipose Tissue and Metabolism (3 papers). Paula Hoffman is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Adipose Tissue and Metabolism (3 papers). Paula Hoffman collaborates with scholars based in United States and Sweden. Paula Hoffman's co-authors include Boris Tabakoff, Katerina Kechris, Spencer Mahaffey, Simona Rossi, Dan Theodorescu, Richard A. Radcliffe, Yuanbin Ru, Russell P. Bowler, Lynne Bemis and George A. Călin and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Neurochemistry.

In The Last Decade

Paula Hoffman

18 papers receiving 737 citations

Hit Papers

The multiMiR R package and database: integration of micro... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula Hoffman United States 11 452 314 172 89 60 18 749
Magdalena Tertil Poland 13 393 0.9× 149 0.5× 65 0.4× 42 0.5× 32 0.5× 14 644
Eleonora Marchina Italy 16 292 0.6× 179 0.6× 101 0.6× 46 0.5× 26 0.4× 41 728
Hongli Li China 15 371 0.8× 135 0.4× 104 0.6× 70 0.8× 31 0.5× 31 748
Jian‐Guo Qi China 12 182 0.4× 155 0.5× 155 0.9× 82 0.9× 31 0.5× 27 552
Genshin Mouri Japan 10 544 1.2× 416 1.3× 225 1.3× 28 0.3× 30 0.5× 17 850
Matthew Covey United States 15 332 0.7× 70 0.2× 140 0.8× 58 0.7× 46 0.8× 17 807
Jie Quan United States 12 643 1.4× 156 0.5× 108 0.6× 56 0.6× 32 0.5× 20 1.0k
Mac Robinson United States 12 430 1.0× 87 0.3× 104 0.6× 158 1.8× 36 0.6× 16 710
Michael Korostishevsky Israel 15 357 0.8× 101 0.3× 58 0.3× 95 1.1× 49 0.8× 27 718

Countries citing papers authored by Paula Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Paula Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Hoffman

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

All Works

18 of 18 papers shown
1.
Pattee, Jack, Lauren A. Vanderlinden, Spencer Mahaffey, et al.. (2022). Evaluation and characterization of expression quantitative trait analysis methods in the Hybrid Rat Diversity Panel. Frontiers in Genetics. 13. 947423–947423. 3 indexed citations
2.
Rudra, Pratyaydipta, Pamela Russell, Brian Vestal, et al.. (2018). Predictive modeling of miRNA-mediated predisposition to alcohol-related phenotypes in mouse. BMC Genomics. 19(1). 639–639. 4 indexed citations
3.
Saba, Laura, Paula Hoffman, & Boris Tabakoff. (2016). Using Baseline Transcriptional Connectomes in Rat to Identify Genetic Pathways Associated with Predisposition to Complex Traits. Methods in molecular biology. 1488. 299–317. 3 indexed citations
4.
Ru, Yuanbin, Katerina Kechris, Boris Tabakoff, et al.. (2014). The multiMiR R package and database: integration of microRNA–target interactions along with their disease and drug associations. Nucleic Acids Research. 42(17). e133–e133. 475 indexed citations breakdown →
5.
Bennett, Beth, et al.. (2010). Genetical Genomic Analysis of Complex Phenotypes Using the PhenoGen Website. Behavior Genetics. 41(4). 625–628. 9 indexed citations
6.
Sikela, James M., Young Kim, Anis Karimpour‐Fard, et al.. (2006). DNA Microarray and Proteomic Strategies for Understanding Alcohol Action. Alcoholism Clinical and Experimental Research. 30(4). 700–708. 11 indexed citations
7.
Hoffman, Paula & Boris Tabakoff. (2004). Gene Expression in Animals with Different Acute Responses to Ethanol. Addiction Biology. 10(1). 63–69. 17 indexed citations
8.
Tabakoff, Boris, et al.. (2001). Chronic ethanol exposure results in increased acute functional tolerance in selected lines of HAFT and LAFT mice. Psychopharmacology. 155(4). 405–412. 20 indexed citations
9.
Bhave, Sanjiv V., et al.. (1998). Acute Effects of Ethanol on Pharmacologically Isolated Kainate Receptors in Cerebellar Granule Neurons: Comparison with NMDA and AMPA Receptors. Journal of Neurochemistry. 71(4). 1777–1780. 37 indexed citations
10.
Parsian, A., et al.. (1995). Monoamine oxidases and alcoholism. I. Studies in unrelated alcoholics and normal controls. American Journal of Medical Genetics. 60(5). 409–416. 46 indexed citations
11.
Parsian, A., et al.. (1994). Monoamine oxidases and alcoholism: studies in unrelated alcoholics, normal controls and alcoholic families.. PubMed. 2. 45–9. 2 indexed citations
12.
Delle, Martin, Peter Thorén, J. O. SKARPHEDINSSON, et al.. (1990). Differentiated responses of renal and adrenal sympathetic nerve activity to intravenous morphine administration in anesthetized rats.. Journal of Pharmacology and Experimental Therapeutics. 253(2). 655–660. 17 indexed citations
13.
Hoffman, Paula. (1989). Selective inhibition by ethanol of glutamate-stimulated cyclic GMP production in primary cultures of cerebellar granule cells. Neuropharmacology. 28(11). 1239–1243. 37 indexed citations
14.
Tabakoff, Boris, Paula Hoffman, & Alan C. McLaughlin. (1988). Is Ethanol a Discriminating Substance?. Seminars in Liver Disease. 8(1). 26–35. 11 indexed citations
15.
Tabakoff, Boris, et al.. (1987). Effect of ethanol on cardiac β-adrenoceptors. European Journal of Pharmacology. 142(3). 441–445. 8 indexed citations
16.
Tabakoff, Boris, Christine L. Melchior, & Paula Hoffman. (1984). Factors in Ethanol Tolerance. Science. 224(4648). 523–524. 18 indexed citations
17.
Tabakoff, Boris, Paula Hoffman, & Frances E. Moses. (1977). Neurochemical correlates of ethanol withdrawal: alterations in serotoninergic function. Journal of Pharmacy and Pharmacology. 29(1). 471–476. 27 indexed citations
18.
Hoffman, Paula, Stephanie Zellner, & James R. Olson. (1967). Metabolic Activities of Sloughed Cells from the Jejunal Mucosa of Dogs with Thiry-Vella Loops.. Experimental Biology and Medicine. 124(1). 236–240. 4 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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