Cherylene A. Plewa

692 total citations
8 papers, 444 citations indexed

About

Cherylene A. Plewa is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Cherylene A. Plewa has authored 8 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Cherylene A. Plewa's work include Virus-based gene therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). Cherylene A. Plewa is often cited by papers focused on Virus-based gene therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). Cherylene A. Plewa collaborates with scholars based in United States. Cherylene A. Plewa's co-authors include Jackie Sheng, Keegan S. Cooke, Graham Molineux, Tara Arvedson, Aaron Winters, Barbra J. Sasu, Todd Juan, Ki Jeong Lee, C. Glenn Begley and Aaron R. Ellison and has published in prestigious journals such as Blood, Cell Metabolism and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Cherylene A. Plewa

8 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cherylene A. Plewa United States	6	278	219	121	109	72	8	444
Marie‐Laure Island France	12	203 0.7×	148 0.7×	130 1.1×	137 1.3×	22 0.3×	22	462
Angela Loi Italy	14	183 0.7×	166 0.8×	136 1.1×	152 1.4×	101 1.4×	21	487
DW Stafford United States	11	335 1.2×	104 0.5×	189 1.6×	35 0.3×	75 1.0×	17	443
Shifaan Thowfeequ United Kingdom	8	181 0.7×	152 0.7×	98 0.8×	49 0.4×	28 0.4×	13	343
C Natta United States	13	222 0.8×	350 1.6×	143 1.2×	49 0.4×	20 0.3×	18	489
Anthony Butterfield United States	10	140 0.5×	101 0.5×	139 1.1×	46 0.4×	11 0.2×	12	362
Francesca La Carpia United States	8	62 0.2×	48 0.2×	124 1.0×	11 0.1×	63 0.9×	15	281
Gauthami Jalagadugula United States	10	216 0.8×	86 0.4×	66 0.5×	5 0.0×	70 1.0×	17	342
LM Snyder United States	12	139 0.5×	179 0.8×	145 1.2×	12 0.1×	38 0.5×	17	523
F Heřmanský Czechia	7	88 0.3×	37 0.2×	135 1.1×	115 1.1×	31 0.4×	35	529

Countries citing papers authored by Cherylene A. Plewa

Since Specialization

Citations

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

Fields of papers citing papers by Cherylene A. Plewa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cherylene A. Plewa. 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 Cherylene A. Plewa. The network helps show where Cherylene A. Plewa may publish in the future.

Co-authorship network of co-authors of Cherylene A. Plewa

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

All Works

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8 of 8 papers shown

Zhao, Huiren, Ki Jeong Lee, Mark Daris, et al.. (2020). Creation of a High-Yield AAV Vector Production Platform in Suspension Cells Using a Design-of-Experiment Approach. Molecular Therapy — Methods & Clinical Development. 18. 312–320. 73 indexed citations

Plewa, Cherylene A.. (2016). Application of lentiviral vectors for development of production cell lines and safety testing of lentiviral-derived cells or products.. PubMed. 64(5). 386–91. 1 indexed citations

Vettermann, Christian, et al.. (2015). A signaling-enhanced chimeric receptor to activate the ICOS pathway in T cells. Journal of Immunological Methods. 424. 14–19. 4 indexed citations

Lee, Ki Jeong, et al.. (2014). Mouse Monoclonal Antibodies to Transient Receptor Potential Ankyrin 1 Act as Antagonists of Multiple Modes of Channel Activation. Journal of Pharmacology and Experimental Therapeutics. 350(2). 223–231. 23 indexed citations

Ross, Sandra L., Lynn Tran, Aaron Winters, et al.. (2012). Molecular Mechanism of Hepcidin-Mediated Ferroportin Internalization Requires Ferroportin Lysines, Not Tyrosines or JAK-STAT. Cell Metabolism. 15(6). 905–917. 116 indexed citations

Sasu, Barbra J., Keegan S. Cooke, Tara Arvedson, et al.. (2010). Antihepcidin antibody treatment modulates iron metabolism and is effective in a mouse model of inflammation-induced anemia. Blood. 115(17). 3616–3624. 188 indexed citations

Freeman, Daniel J., Tammy L. Bush, Brian Belmontes, et al.. (2009). Activity of panitumumab alone or with chemotherapy in non-small cell lung carcinoma cell lines expressing mutant epidermal growth factor receptor. Molecular Cancer Therapeutics. 8(6). 1536–1546. 22 indexed citations

Binder, Christina, Ivonne Archibeque, Yu Sun, et al.. (2008). Optimization and Utilization of the SureFire Phospho-STAT5 Assay for a Cell-Based Screening Campaign. Assay and Drug Development Technologies. 6(1). 27–37. 17 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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