Kevin A. Glenn

585 total citations
18 papers, 458 citations indexed

About

Kevin A. Glenn is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Kevin A. Glenn has authored 18 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Kevin A. Glenn's work include Ubiquitin and proteasome pathways (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Kevin A. Glenn is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Kevin A. Glenn collaborates with scholars based in United States. Kevin A. Glenn's co-authors include Daniel F. Bowen‐Pope, Russell Ross, Hsiang Wen, Henry L. Paulson, Rick F. Nelson, Pedro Gonzalez‐Alegre, Victor M. Miller, Barbara K. Robinson, Richard J. Smith and Yuzhou Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Kevin A. Glenn

18 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin A. Glenn United States 10 280 74 72 71 56 18 458
Yu‐May Lee Taiwan 12 390 1.4× 48 0.6× 146 2.0× 54 0.8× 58 1.0× 19 571
Kelly Rich United States 14 355 1.3× 51 0.7× 107 1.5× 48 0.7× 33 0.6× 35 586
Hsiang Wen United States 9 336 1.2× 65 0.9× 149 2.1× 30 0.4× 54 1.0× 18 499
Qingming Yu United States 12 416 1.5× 80 1.1× 142 2.0× 34 0.5× 35 0.6× 14 519
Gilbert Baillat France 12 416 1.5× 207 2.8× 106 1.5× 32 0.5× 40 0.7× 20 631
Danny V. Jeyaraju Canada 11 371 1.3× 91 1.2× 51 0.7× 34 0.5× 30 0.5× 25 480
Michelle Newman Australia 8 322 1.1× 28 0.4× 87 1.2× 56 0.8× 16 0.3× 12 471
Mark Moffat United States 11 259 0.9× 30 0.4× 112 1.6× 109 1.5× 36 0.6× 14 402
Marco Boccitto United States 9 328 1.2× 29 0.4× 42 0.6× 74 1.0× 38 0.7× 13 572
Radha Desai United States 12 386 1.4× 82 1.1× 91 1.3× 59 0.8× 12 0.2× 14 545

Countries citing papers authored by Kevin A. Glenn

Since Specialization
Citations

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

Fields of papers citing papers by Kevin A. Glenn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin A. Glenn

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

All Works

18 of 18 papers shown
1.
Bryant, Andrew, et al.. (2022). Outcomes of a home telemonitoring program for SARS-CoV-2 viral infection at a large academic medical center. Journal of Telemedicine and Telecare. 30(4). 675–680. 4 indexed citations
2.
Griffin, Benjamin R., Jennifer Chapin, Chaorong Wu, et al.. (2021). An Initiative to Improve 30‐Day Readmission Rates Using a Transitions‐of‐Care Clinic Among a Mixed Urban and Rural Veteran Population. Journal of Hospital Medicine. 16(10). 583–588. 5 indexed citations
3.
Kuperman, Ethan, et al.. (2018). The Virtual Hospitalist: A Single‐Site Implementation Bringing Hospitalist Coverage to Critical Access Hospitals. Journal of Hospital Medicine. 13(11). 759–763. 18 indexed citations
4.
Beauvais, Geneviève, Nicole M. Bode, Hsiang Wen, et al.. (2016). Disruption of Protein Processing in the Endoplasmic Reticulum of DYT1Knock-inMice Implicates Novel Pathways in Dystonia Pathogenesis. Journal of Neuroscience. 36(40). 10245–10256. 39 indexed citations
5.
Wen, Hsiang, et al.. (2015). FBG1 Is the Final Arbitrator of A1AT-Z Degradation. PLoS ONE. 10(8). e0135591–e0135591. 4 indexed citations
6.
Wen, Hsiang, et al.. (2014). Tissue Standards Using Stain Free Gels as a Superior Approach for Aging Research. International Journal of Biochemistry Research & Review. 5(1). 73–81. 1 indexed citations
7.
8.
Wen, Hsiang, et al.. (2011). Using a ubiquitin ligase as an unfolded protein sensor. Biochemical and Biophysical Research Communications. 418(1). 44–48. 5 indexed citations
9.
Glenn, Kevin A., et al.. (2010). Exploring the Influence of TorsinA Expression on Protein Quality Control. Neurochemical Research. 36(3). 452–459. 16 indexed citations
10.
Wen, Hsiang, et al.. (2010). FBG1 is a promiscuous ubiquitin ligase that sequesters APC2 and causes S-phase arrest. Cell Cycle. 9(22). 4506–4517. 8 indexed citations
11.
Glenn, Kevin A., et al.. (2008). Diversity in Tissue Expression, Substrate Binding, and SCF Complex Formation for a Lectin Family of Ubiquitin Ligases. Journal of Biological Chemistry. 283(19). 12717–12729. 64 indexed citations
12.
Nelson, Rick F., Kevin A. Glenn, Yuzhou Zhang, et al.. (2007). Selective Cochlear Degeneration in Mice Lacking the F-Box Protein, Fbx2, a Glycoprotein-Specific Ubiquitin Ligase Subunit. Journal of Neuroscience. 27(19). 5163–5171. 65 indexed citations
13.
Nelson, Rick F., Kevin A. Glenn, Victor M. Miller, Hsiang Wen, & Henry L. Paulson. (2006). A Novel Route for F-box Protein-mediated Ubiquitination Links CHIP to Glycoprotein Quality Control. Journal of Biological Chemistry. 281(29). 20242–20251. 40 indexed citations
14.
Zhang, Cheng, et al.. (2000). High level expression of full-length estrogen receptor in Escherichia coli is facilitated by the uncoupler of oxidative phosphorylation, CCCP. The Journal of Steroid Biochemistry and Molecular Biology. 74(4). 169–178. 8 indexed citations
15.
Glenn, Kevin A., et al.. (1999). Analysis of Estrogen Response Element Binding by Genetically Selected Steroid Receptor DNA Binding Domain Mutants Exhibiting Altered Specificity and Enhanced Affinity. Journal of Biological Chemistry. 274(33). 23591–23598. 22 indexed citations
16.
Adimoolam, Shanthi, et al.. (1997). Analysis of human lecithin–cholesterol acyltransferase activity by carboxyl-terminal truncation. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1344(3). 250–261. 17 indexed citations
17.
Glenn, Kevin A., et al.. (1997). Analysis of ligand dependence and hormone response element synergy in transcription by estrogen receptor. The Journal of Steroid Biochemistry and Molecular Biology. 60(5-6). 285–294. 25 indexed citations
18.
Glenn, Kevin A., Daniel F. Bowen‐Pope, & Russell Ross. (1982). Platelet-derived growth factor. III. Identification of a platelet-derived growth factor receptor by affinity labeling.. Journal of Biological Chemistry. 257(9). 5172–5176. 109 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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