Catherine Nacey

749 total citations
8 papers, 433 citations indexed

About

Catherine Nacey is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Catherine Nacey has authored 8 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Catherine Nacey's work include Pluripotent Stem Cells Research (3 papers), Mesenchymal stem cell research (3 papers) and Muscle Physiology and Disorders (2 papers). Catherine Nacey is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Mesenchymal stem cell research (3 papers) and Muscle Physiology and Disorders (2 papers). Catherine Nacey collaborates with scholars based in United States. Catherine Nacey's co-authors include Jan A. Nolta, Jeannine McGee, Stefanos Kalomoiris, Karen Pepper, Amal Kambal, William Gruenloh, Scott D. Olson, Gerhard Bauer, Whitney Cary and Joseph S. Anderson and has published in prestigious journals such as Journal of Virology, Human Molecular Genetics and Molecular Therapy.

In The Last Decade

Catherine Nacey

8 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Nacey United States 7 299 118 105 87 62 8 433
Jeannine McGee United States 10 367 1.2× 120 1.0× 107 1.0× 117 1.3× 62 1.0× 12 541
Jacqueline G. Gross United Kingdom 10 351 1.2× 148 1.3× 47 0.4× 188 2.2× 70 1.1× 12 628
Henry Collins‐Hooper United Kingdom 12 325 1.1× 55 0.5× 62 0.6× 129 1.5× 26 0.4× 21 462
William Gruenloh United States 6 191 0.6× 110 0.9× 23 0.2× 83 1.0× 17 0.3× 7 290
Gema Elvira Spain 7 209 0.7× 132 1.1× 23 0.2× 70 0.8× 18 0.3× 8 399
Betty Y. Zhou United States 10 374 1.3× 22 0.2× 59 0.6× 36 0.4× 171 2.8× 11 580
Fraser J. Wilkes United Kingdom 7 542 1.8× 170 1.4× 353 3.4× 53 0.6× 64 1.0× 7 695
Katherine E. Santostefano United States 16 460 1.5× 39 0.3× 103 1.0× 95 1.1× 12 0.2× 23 610
Sho Senda Japan 8 815 2.7× 54 0.5× 202 1.9× 135 1.6× 7 0.1× 11 953
Stuart Ellison United Kingdom 14 250 0.8× 47 0.4× 109 1.0× 30 0.3× 10 0.2× 27 552

Countries citing papers authored by Catherine Nacey

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Nacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Nacey

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

All Works

8 of 8 papers shown
1.
Beegle, Julie R., Stefanos Kalomoiris, Ping Zhou, et al.. (2016). Preclinical evaluation of mesenchymal stem cells overexpressing VEGF to treat critical limb ischemia. Molecular Therapy — Methods & Clinical Development. 3. 16053–16053. 55 indexed citations
2.
Pepper, Karen, Catherine Nacey, Suzanne Pontow, et al.. (2015). Human Myoblast and Mesenchymal Stem Cell Interactions Visualized by Videomicroscopy. Human Gene Therapy Methods. 26(6). 193–196. 2 indexed citations
3.
Cary, Whitney, Missy T. Pham, Catherine Nacey, et al.. (2015). Efficient Generation of Induced Pluripotent Stem and Neural Progenitor Cells From Acutely Harvested Dura Mater Obtained During Ventriculoperitoneal Shunt Surgery. World Neurosurgery. 84(5). 1256–1266.e1. 14 indexed citations
4.
Liu, Jing, Zhengyu Cao, Susan Hulsizer, et al.. (2012). Signaling defects in iPSC-derived fragile X premutation neurons. Human Molecular Genetics. 21(17). 3795–3805. 102 indexed citations
5.
Walker, Jon, Jeannine McGee, Catherine Nacey, et al.. (2012). Generation of an HIV-1-Resistant Immune System with CD34 + Hematopoietic Stem Cells Transduced with a Triple-Combination Anti-HIV Lentiviral Vector. Journal of Virology. 86(10). 5719–5729. 69 indexed citations
6.
Gruenloh, William, Amal Kambal, Claus S. Søndergaard, et al.. (2011). Characterization and In Vivo Testing of Mesenchymal Stem Cells Derived from Human Embryonic Stem Cells. Tissue Engineering Part A. 17(11-12). 1517–1525. 72 indexed citations
7.
Olson, Scott D., Amal Kambal, Kari Pollock, et al.. (2011). Examination of mesenchymal stem cell-mediated RNAi transfer to Huntington's disease affected neuronal cells for reduction of huntingtin. Molecular and Cellular Neuroscience. 49(3). 271–281. 63 indexed citations
8.
Kambal, Amal, Whitney Cary, William Gruenloh, et al.. (2010). Generation of HIV-1 Resistant and Functional Macrophages From Hematopoietic Stem Cell–derived Induced Pluripotent Stem Cells. Molecular Therapy. 19(3). 584–593. 56 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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