Penny E. Shockett

2.0k total citations
22 papers, 1.6k citations indexed

About

Penny E. Shockett is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Penny E. Shockett has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Oncology. Recurrent topics in Penny E. Shockett's work include Virus-based gene therapy research (8 papers), CAR-T cell therapy research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Penny E. Shockett is often cited by papers focused on Virus-based gene therapy research (8 papers), CAR-T cell therapy research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Penny E. Shockett collaborates with scholars based in United States. Penny E. Shockett's co-authors include David G. Schatz, Isabelle Villey, Sebastian D. Fugmann, Alfred Ian Lee, Nathan E. Hellman, Michael J. Difilippantonio, Janet Stavnezer, Robert R. Kraemer, V. Daniel Castracane and Nathan Webb and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and The Journal of Immunology.

In The Last Decade

Penny E. Shockett

22 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penny E. Shockett United States 11 977 472 361 260 234 22 1.6k
Quan Yang China 17 1.2k 1.2× 331 0.7× 135 0.4× 132 0.5× 324 1.4× 46 1.7k
Oskar Laur United States 21 843 0.9× 525 1.1× 228 0.6× 130 0.5× 135 0.6× 32 1.5k
David R. Kaplan United States 11 856 0.9× 285 0.6× 164 0.5× 260 1.0× 176 0.8× 14 1.6k
Giovanna Clavarino France 18 1.3k 1.3× 428 0.9× 173 0.5× 116 0.4× 165 0.7× 25 2.0k
David von Schack United States 22 831 0.9× 833 1.8× 205 0.6× 254 1.0× 240 1.0× 28 2.1k
Osvaldo Rey United States 29 1.6k 1.6× 250 0.5× 109 0.3× 320 1.2× 197 0.8× 57 2.4k
Shuji Mita Japan 25 1.4k 1.5× 313 0.7× 154 0.4× 101 0.4× 231 1.0× 70 2.2k
Christine T. DeMaria United States 13 2.0k 2.1× 217 0.5× 162 0.4× 180 0.7× 263 1.1× 15 2.4k
Joshua D. Stender United States 19 2.0k 2.0× 1.1k 2.3× 356 1.0× 484 1.9× 120 0.5× 22 3.1k
Attila Horváth Hungary 21 1.2k 1.2× 375 0.8× 93 0.3× 86 0.3× 135 0.6× 47 1.7k

Countries citing papers authored by Penny E. Shockett

Since Specialization
Citations

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

Fields of papers citing papers by Penny E. Shockett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Penny E. Shockett. 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 Penny E. Shockett. The network helps show where Penny E. Shockett may publish in the future.

Co-authorship network of co-authors of Penny E. Shockett

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

All Works

20 of 20 papers shown
1.
Shockett, Penny E., et al.. (2019). Substituted cysteine scanning in D1-S6 of the sodium channel hNav1.4 alters kinetics and structural interactions of slow inactivation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1862(2). 183129–183129. 2 indexed citations
2.
Shockett, Penny E., et al.. (2016). Plasma cell-free mitochondrial DNA declines in response to prolonged moderate aerobic exercise. Physiological Reports. 4(1). e12672–e12672. 25 indexed citations
3.
Champagne, Devin & Penny E. Shockett. (2014). Illegitimate V(D)J recombination-mediated deletions in Notch1 and Bcl11b are not sufficient for extensive clonal expansion and show minimal age or sex bias in frequency or junctional processing. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 761. 34–48. 4 indexed citations
4.
Kraemer, Robert R., et al.. (2014). A Transient Elevated Irisin Blood Concentration in Response to Prolonged, Moderate Aerobic Exercise in Young Men and Women.. Medicine & Science in Sports & Exercise. 46. 404–404. 53 indexed citations
5.
Kraemer, Robert R., et al.. (2013). A Transient Elevated Irisin Blood Concentration in Response to Prolonged, Moderate Aerobic Exercise in Young Men and Women. Hormone and Metabolic Research. 46(2). 150–154. 149 indexed citations
6.
O’Reilly, John & Penny E. Shockett. (2011). Time- and state-dependent effects of methanethiosulfonate ethylammonium (MTSEA) exposure differ between heart and skeletal muscle voltage-gated Na+ channels. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(3). 443–447. 6 indexed citations
7.
Chancey, Jessica H., Penny E. Shockett, & John O’Reilly. (2007). Relative resistance to slow inactivation of human cardiac Na+channel hNav1.5 is reversed by lysine or glutamine substitution at V930 in D2-S6. American Journal of Physiology-Cell Physiology. 293(6). C1895–C1905. 9 indexed citations
8.
O’Reilly, John & Penny E. Shockett. (2006). Slow-inactivation induced conformational change in domain 2-segment 6 of cardiac Na+ channel. Biochemical and Biophysical Research Communications. 345(1). 59–66. 8 indexed citations
9.
Shockett, Penny E. & David G. Schatz. (2005). Inducible Gene Expression Using an Autoregulatory, Tetracycline‐Controlled System. Current Protocols in Cell Biology. 27(1). 20.8.1–20.8.10. 1 indexed citations
10.
11.
Chen, Jingshan, Max B. Kelz, Cathy Steffen, et al.. (2002). Inducible, reversible hair loss in transgenic mice. Transgenic Research. 11(3). 241–247. 2 indexed citations
12.
Shockett, Penny E. & David G. Schatz. (2002). Inducible Gene Expression Using an Autoregulatory, Tetracycline‐Controlled System. Current Protocols in Molecular Biology. 60(1). Unit 16.14–Unit 16.14. 1 indexed citations
13.
Fugmann, Sebastian D., Alfred Ian Lee, Penny E. Shockett, Isabelle Villey, & David G. Schatz. (2000). The RAG Proteins and V(D)J Recombination: Complexes, Ends, and Transposition. Annual Review of Immunology. 18(1). 495–527. 491 indexed citations
14.
Shockett, Penny E. & David G. Schatz. (1999). DNA Hairpin Opening Mediated by the RAG1 and RAG2 Proteins. Molecular and Cellular Biology. 19(6). 4159–4166. 96 indexed citations
15.
Chen, Jingshan, Max B. Kelz, Norio Sakai, et al.. (1998). Transgenic Animals with Inducible, Targeted Gene Expression in Brain. Molecular Pharmacology. 54(3). 495–503. 157 indexed citations
16.
Shockett, Penny E., Michael J. Difilippantonio, Nathan E. Hellman, & David G. Schatz. (1995). A modified tetracycline-regulated system provides autoregulatory, inducible gene expression in cultured cells and transgenic mice.. Proceedings of the National Academy of Sciences. 92(14). 6522–6526. 336 indexed citations
17.
Shockett, Penny E. & Janet Stavnezer. (1993). Inhibitors of poly(ADP-ribose) polymerase increase antibody class switching.. The Journal of Immunology. 151(12). 6962–6976. 45 indexed citations
18.
Shockett, Penny E., et al.. (1992). Regulation of Transcription of the Germline Immunoglobulin α Constant Region Gene. Current topics in microbiology and immunology. 182. 157–165. 5 indexed citations
19.
Shockett, Penny E., et al.. (1991). Regulation of the antibody class switch to IgA. Immunologic Research. 10(3-4). 376–380. 6 indexed citations
20.

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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