Dianne Kube

564 total citations
9 papers, 481 citations indexed

About

Dianne Kube is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dianne Kube has authored 9 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dianne Kube's work include Cystic Fibrosis Research Advances (4 papers), RNA Interference and Gene Delivery (3 papers) and Neonatal Respiratory Health Research (3 papers). Dianne Kube is often cited by papers focused on Cystic Fibrosis Research Advances (4 papers), RNA Interference and Gene Delivery (3 papers) and Neonatal Respiratory Health Research (3 papers). Dianne Kube collaborates with scholars based in United States. Dianne Kube's co-authors include Pamela B. Davis, David Fletcher, Mark J. Cooper, Xuguang Chen, Aura Perez, Elizabeth A. Eckman, Calvin U. Cotton, Pamela B. Davis, Ruth Bryan and Alice Prince and has published in prestigious journals such as Virology, Molecular Therapy and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Dianne Kube

9 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dianne Kube United States	7	265	229	52	49	34	9	481
Claudette Fuchey France	12	405 1.5×	204 0.9×	42 0.8×	31 0.6×	78 2.3×	17	623
Laurette Malleret France	7	147 0.6×	234 1.0×	90 1.7×	37 0.8×	47 1.4×	7	529
Sergio Trillo‐Muyo Sweden	9	100 0.4×	180 0.8×	45 0.9×	14 0.3×	41 1.2×	14	333
D. C. Gruenert United States	13	339 1.3×	428 1.9×	23 0.4×	54 1.1×	57 1.7×	17	713
Adi Mesika Israel	7	76 0.3×	393 1.7×	66 1.3×	49 1.0×	42 1.2×	9	517
MJ Evans United Kingdom	9	161 0.6×	319 1.4×	26 0.5×	28 0.6×	26 0.8×	12	504
Vanessa Neuhaus Germany	11	121 0.5×	92 0.4×	88 1.7×	53 1.1×	35 1.0×	20	379
Alessio Branchini Italy	17	67 0.3×	345 1.5×	22 0.4×	32 0.7×	36 1.1×	45	700
Yumiko Uchida Japan	14	54 0.2×	204 0.9×	94 1.8×	31 0.6×	12 0.4×	33	473
Maninder Sandey United States	11	57 0.2×	109 0.5×	76 1.5×	38 0.8×	47 1.4×	40	329

Countries citing papers authored by Dianne Kube

Since Specialization

Citations

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

Fields of papers citing papers by Dianne Kube

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianne Kube

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

All Works

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9 of 9 papers shown

Chen, Xuguang, Dianne Kube, Mark J. Cooper, & Pamela B. Davis. (2007). Cell Surface Nucleolin Serves as Receptor for DNA Nanoparticles Composed of Pegylated Polylysine and DNA. Molecular Therapy. 16(2). 333–342. 111 indexed citations

Kube, Dianne, David Fletcher, & Pamela B. Davis. (2005). Relation of exaggerated cytokine responses of CF airway epithelial cells to PAO1 adherence. Respiratory Research. 6(1). 69–69. 14 indexed citations

Okon, Ted, et al.. (2004). Problems facing cancer care with Medicare's definition of average selling price. Community Oncology. 1(1). 59–63. 1 indexed citations

Kube, Dianne, et al.. (2001). Proinflammatory cytokine responses toP. aeruginosainfection in human airway epithelial cell lines. American Journal of Physiology-Lung Cellular and Molecular Physiology. 280(3). L493–L502. 155 indexed citations

Kube, Dianne, et al.. (2001). Terminal sialylation is altered in airway cells with impaired CFTR-mediated chloride transport. American Journal of Physiology-Lung Cellular and Molecular Physiology. 280(3). L482–L492. 25 indexed citations

Bryan, Ruth, Dianne Kube, Aura Perez, Pamela B. Davis, & Alice Prince. (1998). Overproduction of the CFTR R Domain Leads to Increased Levels of AsialoGM1 and Increased Pseudomonas aeruginosa Binding by Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 19(2). 269–277. 84 indexed citations

Kube, Dianne & Barry Milavetz. (1996). Differential regulation by SV40 t-antigen binding at site I defines two distinct classes of nucleosome-free promoter. The Anatomical Record. 244(1). 28–32. 5 indexed citations

Eckman, Elizabeth A., Calvin U. Cotton, Dianne Kube, & Pamela B. Davis. (1995). Dietary changes improve survival of CFTR S489X homozygous mutant mouse. American Journal of Physiology-Lung Cellular and Molecular Physiology. 269(5). L625–L630. 71 indexed citations

Kube, Dianne & Barry Milavetz. (1989). Generation of a nucleosome-free promoter region in SV40 does not require T-Antigen binding to site I. Virology. 172(1). 100–105. 15 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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