Kaye Spratt

701 total citations
10 papers, 589 citations indexed

About

Kaye Spratt is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Kaye Spratt has authored 10 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Genetics. Recurrent topics in Kaye Spratt's work include Virus-based gene therapy research (1 paper), Pluripotent Stem Cells Research (1 paper) and Skin and Cellular Biology Research (1 paper). Kaye Spratt is often cited by papers focused on Virus-based gene therapy research (1 paper), Pluripotent Stem Cells Research (1 paper) and Skin and Cellular Biology Research (1 paper). Kaye Spratt collaborates with scholars based in United States. Kaye Spratt's co-authors include B J Benson, Roger White, Samuel Hawgood, Barbara Cordell, Judith Miller, Deborah Damm, Dea Nagy, Seán M. Sullivan, Hans Hofland and Olivier Danos and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The FASEB Journal.

In The Last Decade

Kaye Spratt

10 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaye Spratt United States 7 292 246 110 104 75 10 589
Manoj Bhaskaran United States 13 265 0.9× 239 1.0× 30 0.3× 65 0.6× 118 1.6× 21 657
Junko Goto Japan 15 304 1.0× 73 0.3× 27 0.2× 120 1.2× 101 1.3× 23 748
Aglaia Ntokou United States 11 202 0.7× 301 1.2× 24 0.2× 30 0.3× 44 0.6× 14 491
Ronan Quéré France 15 423 1.4× 34 0.1× 21 0.2× 52 0.5× 124 1.7× 33 669
Anthony Sallese United States 11 192 0.7× 279 1.1× 25 0.2× 26 0.3× 159 2.1× 22 629
Sanae Soma Japan 7 136 0.5× 118 0.5× 24 0.2× 55 0.5× 19 0.3× 8 376
Carrie B. Wiese United States 13 453 1.6× 45 0.2× 17 0.2× 81 0.8× 124 1.7× 20 856
Deshea L Harris United States 21 322 1.1× 22 0.1× 28 0.3× 54 0.5× 165 2.2× 58 1.3k
Sylvia P. Thomas Canada 11 201 0.7× 140 0.6× 12 0.1× 94 0.9× 27 0.4× 18 634

Countries citing papers authored by Kaye Spratt

Since Specialization
Citations

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

Fields of papers citing papers by Kaye Spratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaye Spratt

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

All Works

10 of 10 papers shown
1.
Tang, Jean Y., D. Solis, Zurab Siprashvili, et al.. (2019). <p>From Clinical Phenotype to Genotypic Modelling: Incidence and Prevalence of Recessive Dystrophic Epidermolysis Bullosa (RDEB)</p>. Clinical Cosmetic and Investigational Dermatology. Volume 12. 933–942. 16 indexed citations
2.
Lykken, Erik, et al.. (2018). Combination dosing of CLN1 gene therapy extends lifespan in a mouse model of infantile neuronal ceroid lipofuscinosis. Molecular Genetics and Metabolism. 123(2). S124–S124. 4 indexed citations
3.
Kerns, Scott, Megan E. Bosch, Rachel W. Fallet, et al.. (2018). Intravenous administration of CLN3 gene therapy for juvenile neuronal ceroid lipofuscinosis. Molecular Genetics and Metabolism. 123(2). S77–S77. 1 indexed citations
5.
Yu, Jun, Yuxin Liang, Reed Hickey, et al.. (2006). An engineered VEGF‐activating zinc finger protein transcription factor improves blood flow and limb salvage in advanced‐age mice. The FASEB Journal. 20(3). 479–481. 41 indexed citations
6.
Bankiewicz, Krzysztof S., Stuart E. Leff, Dea Nagy, et al.. (1997). Practical Aspects of the Development ofex Vivoandin VivoGene Therapy for Parkinson's Disease. Experimental Neurology. 144(1). 147–156. 41 indexed citations
7.
Hofland, Hans, et al.. (1997). In Vivo Gene Transfer by Intravenous Administration of Stable Cationic Lipid/DNA Complex. Pharmaceutical Research. 14(6). 742–749. 90 indexed citations
8.
Tatsuno, Gwen, et al.. (1991). Purification and characterization of human recombinant insulin-like growth factor binding protein 3 expressed in chinese hamster ovary cells. Biochemical and Biophysical Research Communications. 178(2). 625–633. 24 indexed citations
9.
Porter, J G, Yingying Wang, Karen Schwartz, et al.. (1988). Characterization of the atrial natriuretic peptide clearance receptor using a vaccinia virus expression vector.. Journal of Biological Chemistry. 263(35). 18827–18833. 33 indexed citations
10.
White, Roger, Deborah Damm, Judith Miller, et al.. (1985). Isolation and characterization of the human pulmonary surfactant apoprotein gene. Nature. 317(6035). 361–363. 337 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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