Paula Polk

403 total citations
11 papers, 334 citations indexed

About

Paula Polk is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Paula Polk has authored 11 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Paula Polk's work include Microtubule and mitosis dynamics (2 papers), Cancer-related molecular mechanisms research (2 papers) and Beetle Biology and Toxicology Studies (1 paper). Paula Polk is often cited by papers focused on Microtubule and mitosis dynamics (2 papers), Cancer-related molecular mechanisms research (2 papers) and Beetle Biology and Toxicology Studies (1 paper). Paula Polk collaborates with scholars based in United States, Canada and Germany. Paula Polk's co-authors include Changman Zhou, John H. Zhang, Anil Nanda, Gang Yu, L. Keith Scott, Xiying Wu, Andrey Ptitsyn, Marilyn A. Dietrich, Jeffrey M. Gimble and Jason M. Bodily and has published in prestigious journals such as Blood, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Paula Polk

10 papers receiving 327 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 Polk United States 8 112 103 77 65 62 11 334
You Jia Xu China 8 97 0.9× 130 1.3× 120 1.6× 49 0.8× 25 0.4× 11 391
Malay Chaklader United States 16 79 0.7× 194 1.9× 89 1.2× 54 0.8× 33 0.5× 27 459
Maja Stojiljković Serbia 14 120 1.1× 204 2.0× 33 0.4× 29 0.4× 27 0.4× 45 508
Soon‐Keng Cheong Malaysia 12 156 1.4× 225 2.2× 37 0.5× 38 0.6× 25 0.4× 35 450
Dinglei Su China 12 87 0.8× 94 0.9× 30 0.4× 88 1.4× 52 0.8× 19 594
Domenico Mattiucci Italy 8 83 0.7× 76 0.7× 76 1.0× 29 0.4× 69 1.1× 13 299
Kristen R. Georgiou Australia 14 65 0.6× 223 2.2× 51 0.7× 213 3.3× 30 0.5× 18 601
Maria Sabater‐Lleal Spain 13 74 0.7× 123 1.2× 183 2.4× 20 0.3× 36 0.6× 33 539

Countries citing papers authored by Paula Polk

Since Specialization
Citations

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

Fields of papers citing papers by Paula Polk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Polk

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

All Works

11 of 11 papers shown
1.
Zahra, Fatema Tuz, Paula Polk, Jone Garai, et al.. (2021). Advanced bioinformatic analysis and pathway prediction of NSCLC cells upon cisplatin resistance. Scientific Reports. 11(1). 6520–6520. 10 indexed citations
2.
Becker, Felix, Felicity N. E. Gavins, Jane Fontenot, et al.. (2019). Dynamic gut microbiome changes following regional intestinal lymphatic obstruction in primates. Pathophysiology. 26(3-4). 253–261. 5 indexed citations
3.
Polk, Paula, et al.. (2018). New ubiquitin-dependent mechanisms regulating the Aurora B–protein phosphatase 1 balance in Saccharomyces cerevisiae. Journal of Cell Science. 131(16). 1 indexed citations
4.
Bienkowska‐Haba, Malgorzata, Wioleta Łuszczek, Timothy R. Keiffer, et al.. (2018). A new cell culture model to genetically dissect the complete human papillomavirus life cycle. PLoS Pathogens. 14(3). e1006846–e1006846. 47 indexed citations
5.
Y, Li, Wensheng Zhang, Shubha P. Kale, et al.. (2016). Highly and moderately aggressive mouse ovarian cancer cell lines exhibit differential gene expression. Tumor Biology. 37(8). 11147–11162. 13 indexed citations
7.
Yeh, Kwo‐Yih, Mary Yeh, Paula Polk, & Jonathan Glass. (2011). Hypoxia-inducible factor-2α and iron absorptive gene expression in Belgrade rat intestine. American Journal of Physiology-Gastrointestinal and Liver Physiology. 301(1). G82–G90. 18 indexed citations
8.
Yu, Gang, Xiying Wu, Marilyn A. Dietrich, et al.. (2010). Yield and characterization of subcutaneous human adipose-derived stem cells by flow cytometric and adipogenic mRNA analyzes. Cytotherapy. 12(4). 538–546. 106 indexed citations
9.
Bao, Fei, Paula Polk, Mary Lowery Nordberg, et al.. (2007). Comparative gene expression analysis of a chronic myelogenous leukemia cell line resistant to cyclophosphamide using oligonucleotide arrays and response to tyrosine kinase inhibitors. Leukemia Research. 31(11). 1511–1520. 12 indexed citations
10.
Jie, Chunfa, Paula Polk, Ravi Shridhar, et al.. (2005). The candidate tumor suppressor CST6 alters the gene expression profile of human breast carcinoma cells: Down-regulation of the potent mitogenic, motogenic, and angiogenic factor autotaxin. Biochemical and Biophysical Research Communications. 340(1). 175–182. 23 indexed citations
11.
Zhou, Changman, et al.. (2004). Mechanisms of Erythropoietin-induced Brain Protection in Neonatal Hypoxia-Ischemia Rat Model. Journal of Cerebral Blood Flow & Metabolism. 24(2). 259–270. 99 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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