Gwendolyn Spizz

2.4k total citations
26 papers, 2.2k citations indexed

About

Gwendolyn Spizz is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gwendolyn Spizz has authored 26 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gwendolyn Spizz's work include Muscle Physiology and Disorders (12 papers), Ubiquitin and proteasome pathways (6 papers) and Muscle metabolism and nutrition (4 papers). Gwendolyn Spizz is often cited by papers focused on Muscle Physiology and Disorders (12 papers), Ubiquitin and proteasome pathways (6 papers) and Muscle metabolism and nutrition (4 papers). Gwendolyn Spizz collaborates with scholars based in United States and Bulgaria. Gwendolyn Spizz's co-authors include Eric N. Olson, E A Sternberg, Michael A. Tainsky, J S Hu, Celeste A. Wilcox, Richard Condit, Douglas L. Vizard, Perry J. Blackshear, D G Roman and Arnold W. Strauss and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular and Cellular Biology.

In The Last Decade

Gwendolyn Spizz

26 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gwendolyn Spizz United States 20 1.6k 291 287 240 208 26 2.2k
Giovanna Marziali Italy 27 1.4k 0.9× 126 0.4× 117 0.4× 289 1.2× 450 2.2× 52 2.1k
Niels H. Gehring Germany 39 3.6k 2.2× 207 0.7× 192 0.7× 150 0.6× 209 1.0× 68 4.2k
J A Escobedo United States 20 1.8k 1.1× 270 0.9× 358 1.2× 455 1.9× 361 1.7× 28 2.6k
Michael J. Getz United States 31 1.8k 1.1× 409 1.4× 251 0.9× 348 1.4× 207 1.0× 55 2.5k
Dick van Wichen Netherlands 10 2.6k 1.6× 380 1.3× 249 0.9× 570 2.4× 279 1.3× 11 3.2k
Luc Furic Australia 28 2.4k 1.5× 203 0.7× 158 0.6× 341 1.4× 257 1.2× 48 3.0k
Gustav Hagen Germany 7 1.3k 0.8× 304 1.0× 125 0.4× 201 0.8× 266 1.3× 8 1.8k
K. Reed Clark United States 18 2.5k 1.5× 959 3.3× 74 0.3× 333 1.4× 160 0.8× 23 3.3k
Chiharu Uchida Japan 26 2.0k 1.2× 263 0.9× 220 0.8× 679 2.8× 181 0.9× 65 2.5k

Countries citing papers authored by Gwendolyn Spizz

Since Specialization
Citations

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

Fields of papers citing papers by Gwendolyn Spizz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwendolyn Spizz

This figure shows the co-authorship network connecting the top 25 collaborators of Gwendolyn Spizz. A scholar is included among the top collaborators of Gwendolyn Spizz 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 Gwendolyn Spizz. Gwendolyn Spizz 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.
Spizz, Gwendolyn, Zongyuan Chen, Peng Li, et al.. (2015). Determination of Genotypes Using a Fully Automated Molecular Detection System. Archives of Pathology & Laboratory Medicine. 139(6). 805–811. 3 indexed citations
2.
Spizz, Gwendolyn, Rubina Yasmin, Zongyuan Chen, et al.. (2012). Rheonix CARD® Technology. Point of Care The Journal of Near-Patient Testing & Technology. 11(1). 42–51. 15 indexed citations
3.
Greene, Kai Su, Bo Shui, Gwendolyn Spizz, et al.. (2008). mCLCA4 ER processing and secretion requires luminal sorting motifs. American Journal of Physiology-Cell Physiology. 295(1). C279–C287. 7 indexed citations
4.
Christopher, Rita, Jeffrey J. Fox, Rina Gendelman, et al.. (2004). Data‐Driven Computer Simulation of Human Cancer Cell. Annals of the New York Academy of Sciences. 1020(1). 132–153. 58 indexed citations
5.
Spizz, Gwendolyn & Perry J. Blackshear. (2001). Overexpression of the Myristoylated Alanine-rich C-kinase Substrate Inhibits Cell Adhesion to Extracellular Matrix Components. Journal of Biological Chemistry. 276(34). 32264–32273. 39 indexed citations
6.
Li, Yuehua, Linda D. Martin, Gwendolyn Spizz, & Kenneth B. Adler. (2001). MARCKS Protein Is a Key Molecule Regulating Mucin Secretion by Human Airway Epithelial Cells in Vitro. Journal of Biological Chemistry. 276(44). 40982–40990. 137 indexed citations
7.
Spizz, Gwendolyn & Perry J. Blackshear. (1997). Identification and Characterization of Cathepsin B as the Cellular MARCKS Cleaving Enzyme. Journal of Biological Chemistry. 272(38). 23833–23842. 37 indexed citations
8.
Spizz, Gwendolyn & Perry J. Blackshear. (1996). Protein Kinase C-mediated Phosphorylation of the Myristoylated Alanine-rich C-kinase Substrate Protects It from Specific Proteolytic Cleavage. Journal of Biological Chemistry. 271(1). 553–562. 29 indexed citations
9.
Spizz, Gwendolyn & Linda J. Pike. (1992). Growth factors promote inositol uptake in BC3H1 cells. Biochemical and Biophysical Research Communications. 182(3). 1008–1015. 4 indexed citations
10.
Sternberg, E A, Gwendolyn Spizz, Michael Perry, & Eric N. Olson. (1989). A ras-dependent pathway abolishes activity of a muscle-specific enhancer upstream from the muscle creatine kinase gene.. Molecular and Cellular Biology. 9(2). 594–601. 36 indexed citations
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Schneider, Michael, et al.. (1987). Autonomous Expression of c-myc in BC3H1 cells Partially Inhibits But Does Not Prevent Myogenic Differentiation. Molecular and Cellular Biology. 7(5). 1973–1977. 22 indexed citations
14.
Schneider, Michael, M. Benjamin Perryman, Peggy Payne, et al.. (1987). Autonomous expression of c-myc in BC3H1 cells partially inhibits but does not prevent myogenic differentiation.. Molecular and Cellular Biology. 7(5). 1973–1977. 73 indexed citations
15.
16.
Spizz, Gwendolyn, D G Roman, Arnold W. Strauss, & Eric N. Olson. (1986). Serum and fibroblast growth factor inhibit myogenic differentiation through a mechanism dependent on protein synthesis and independent of cell proliferation.. Journal of Biological Chemistry. 261(20). 9483–9488. 177 indexed citations
17.
Olson, Eric N., E A Sternberg, J S Hu, Gwendolyn Spizz, & Celeste A. Wilcox. (1986). Regulation of myogenic differentiation by type beta transforming growth factor.. The Journal of Cell Biology. 103(5). 1799–1805. 351 indexed citations
18.
Olson, Eric N. & Gwendolyn Spizz. (1986). Fatty acylation of cellular proteins. Temporal and subcellular differences between palmitate and myristate acylation.. Journal of Biological Chemistry. 261(5). 2458–2466. 109 indexed citations
19.
Olson, Eric N. & Gwendolyn Spizz. (1986). Mitogens and Protein Synthesis Inhibitors Induce Ornithine Decarboxylase Gene Transcription Through Separate Mechanisms in the BC 3 H1 Muscle Cell Line. Molecular and Cellular Biology. 6(8). 2792–2799. 9 indexed citations
20.
Olson, Eric N. & Gwendolyn Spizz. (1986). Mitogens and protein synthesis inhibitors induce ornithine decarboxylase gene transcription through separate mechanisms in the BC3H1 muscle cell line.. Molecular and Cellular Biology. 6(8). 2792–2799. 57 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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