Pete E. Pascuzzi

1.5k total citations
25 papers, 1.2k citations indexed

About

Pete E. Pascuzzi is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Pete E. Pascuzzi has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Plant Science and 3 papers in Cancer Research. Recurrent topics in Pete E. Pascuzzi's work include Genomics, phytochemicals, and oxidative stress (4 papers), Plant-Microbe Interactions and Immunity (4 papers) and Genomics and Chromatin Dynamics (4 papers). Pete E. Pascuzzi is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (4 papers), Plant-Microbe Interactions and Immunity (4 papers) and Genomics and Chromatin Dynamics (4 papers). Pete E. Pascuzzi collaborates with scholars based in United States, China and France. Pete E. Pascuzzi's co-authors include Tony R. Hazbun, Jonathan Arias, Shankar Thangamani, Larisa Avramova, Mohamed N. Seleem, Lijun Cheng, Elia Farah, Xiaoqi Liu, Gregory B. Martin and Nadia A. Lanman and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Pete E. Pascuzzi

25 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pete E. Pascuzzi United States 20 748 457 124 118 110 25 1.2k
Madavan Vasudevan India 19 540 0.7× 148 0.3× 42 0.3× 220 1.9× 106 1.0× 56 949
Linlin Gao China 18 515 0.7× 216 0.5× 41 0.3× 167 1.4× 146 1.3× 46 998
Janice Au-Young United States 13 599 0.8× 282 0.6× 25 0.2× 104 0.9× 42 0.4× 26 854
Laurent Volpon Canada 22 1.0k 1.3× 121 0.3× 32 0.3× 109 0.9× 70 0.6× 34 1.3k
Pil Jae Maeng South Korea 21 694 0.9× 303 0.7× 27 0.2× 77 0.7× 118 1.1× 54 1.1k
Shanping Wang China 19 452 0.6× 286 0.6× 42 0.3× 66 0.6× 47 0.4× 53 998
Miaomiao Tian China 18 880 1.2× 655 1.4× 32 0.3× 135 1.1× 51 0.5× 36 1.4k
Xin Guan China 22 788 1.1× 336 0.7× 66 0.5× 295 2.5× 142 1.3× 69 1.2k
H.M. Pereira Brazil 21 948 1.3× 129 0.3× 28 0.2× 219 1.9× 87 0.8× 81 1.3k

Countries citing papers authored by Pete E. Pascuzzi

Since Specialization
Citations

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

Fields of papers citing papers by Pete E. Pascuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pete E. Pascuzzi. 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 Pete E. Pascuzzi. The network helps show where Pete E. Pascuzzi may publish in the future.

Co-authorship network of co-authors of Pete E. Pascuzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Pete E. Pascuzzi. A scholar is included among the top collaborators of Pete E. Pascuzzi 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 Pete E. Pascuzzi. Pete E. Pascuzzi 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.
Kim, Jeongim, Xuebin Zhang, Pete E. Pascuzzi, Chang‐Jun Liu, & Clint Chapple. (2019). Glucosinolate and phenylpropanoid biosynthesis are linked by proteasome‐dependent degradation of PAL. New Phytologist. 225(1). 154–168. 77 indexed citations
2.
Farah, Elia, Chaohao Li, Lijun Cheng, et al.. (2019). NOTCH signaling is activated in and contributes to resistance in enzalutamide-resistant prostate cancer cells. Journal of Biological Chemistry. 294(21). 8543–8554. 50 indexed citations
3.
Zhang, Zhuangzhuang, Lijun Cheng, Jie Li, et al.. (2018). Inhibition of the Wnt/β-Catenin Pathway Overcomes Resistance to Enzalutamide in Castration-Resistant Prostate Cancer. Cancer Research. 78(12). 3147–3162. 123 indexed citations
4.
Pascuzzi, Pete E. & Megan Sapp Nelson. (2018). Integrating Data Science Tools into a Graduate Level Data Management Course. SHILAP Revista de lepidopterología. 7(3). e1152–e1152. 4 indexed citations
5.
Carter, Benjamin C., Kwok Ki Ho, Wei Jia, et al.. (2018). The Chromatin Remodelers PKL and PIE1 Act in an Epigenetic Pathway That Determines H3K27me3 Homeostasis in Arabidopsis. The Plant Cell. 30(6). 1337–1352. 103 indexed citations
6.
Concia, Lorenzo, Ashley M. Brooks, Gregory J. Zynda, et al.. (2018). Genome-Wide Analysis of the Arabidopsis Replication Timing Program. PLANT PHYSIOLOGY. 176(3). 2166–2185. 34 indexed citations
7.
Vickman, Renee E., et al.. (2017). Targeting the Hsp90 C-terminal domain to induce allosteric inhibition and selective client downregulation. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(8). 1992–2006. 25 indexed citations
8.
Thangamani, Shankar, Matthew C. Maland, Haroon Mohammad, et al.. (2017). Repurposing Approach Identifies Auranofin with Broad Spectrum Antifungal Activity That Targets Mia40-Erv1 Pathway. Frontiers in Cellular and Infection Microbiology. 7. 4–4. 75 indexed citations
9.
Thangamani, Shankar, Hassan E. Eldesouky, Haroon Mohammad, et al.. (2016). Ebselen exerts antifungal activity by regulating glutathione (GSH) and reactive oxygen species (ROS) production in fungal cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(1). 3002–3010. 91 indexed citations
10.
Mani, Saravana Kumar Kailasam, Hao Zhang, Ahmed Diab, et al.. (2016). EpCAM-regulated intramembrane proteolysis induces a cancer stem cell-like gene signature in hepatitis B virus-infected hepatocytes. Journal of Hepatology. 65(5). 888–898. 51 indexed citations
11.
Cloutier, Sara C., Siwen Wang, Wai Kit, et al.. (2016). Regulated Formation of lncRNA-DNA Hybrids Enables Faster Transcriptional Induction and Environmental Adaptation. Molecular Cell. 61(3). 393–404. 99 indexed citations
12.
13.
Wendt, Michael K., Pete E. Pascuzzi, Nikolas G. Balanis, et al.. (2015). The Antitumorigenic Function of EGFR in Metastatic Breast Cancer is Regulated by Expression of Mig6. Neoplasia. 17(1). 124–133. 33 indexed citations
14.
15.
Lee, Tae Jin, Pete E. Pascuzzi, Sharon B. Settlage, et al.. (2010). Arabidopsis thaliana Chromosome 4 Replicates in Two Phases That Correlate with Chromatin State. PLoS Genetics. 6(6). e1000982–e1000982. 62 indexed citations
16.
Anderson, Jeffrey C., Pete E. Pascuzzi, Fangming Xiao, Guido Sessa, & Gregory B. Martin. (2006). Host-Mediated Phosphorylation of Type III Effector AvrPto PromotesPseudomonasVirulence and Avirulence in Tomato. The Plant Cell. 18(2). 502–514. 56 indexed citations
17.
18.
Johnson, Christopher, et al.. (2001). In vivo target promoter‐binding activities of a xenobiotic stress‐activated TGA factor. The Plant Journal. 28(2). 237–243. 44 indexed citations
19.
Klinedinst, Susan, Pete E. Pascuzzi, Julia C. Redman, M. I. Desai, & Jonathan Arias. (2000). A xenobiotic-stress-activated transcription factor and its cognate target genes are preferentially expressed in root tip meristems. Plant Molecular Biology. 42(5). 679–688. 45 indexed citations
20.
Pascuzzi, Pete E., et al.. (1998). Auxin-induced Stress Potentiates trans-activation by a Conserved Plant Basic/Leucine-zipper Factor. Journal of Biological Chemistry. 273(41). 26631–26637. 34 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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