Colette Aprhys

936 total citations
9 papers, 790 citations indexed

About

Colette Aprhys is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Colette Aprhys has authored 9 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Colette Aprhys's work include Herpesvirus Infections and Treatments (3 papers), Viral-associated cancers and disorders (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Colette Aprhys is often cited by papers focused on Herpesvirus Infections and Treatments (3 papers), Viral-associated cancers and disorders (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Colette Aprhys collaborates with scholars based in United States, Poland and Canada. Colette Aprhys's co-authors include Gary S. Hayward, Masahiro Fujimuro, Frederick Y. Wu, David B. Young, S. Diane Hayward, Henry Kajumbula, Verena Staedtke, Gregory J. Riggins, Ren-Yuan Bai and Gary L. Gallia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Virology.

In The Last Decade

Colette Aprhys

9 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colette Aprhys United States 8 351 345 274 133 88 9 790
Hari Raghu United States 11 364 1.0× 276 0.8× 260 0.9× 165 1.2× 90 1.0× 11 790
Alexander Ungewickell United States 13 211 0.6× 140 0.4× 467 1.7× 191 1.4× 168 1.9× 17 977
Brian J. Krueger United States 17 288 0.8× 211 0.6× 488 1.8× 99 0.7× 40 0.5× 20 842
Michelle Debatis United States 15 231 0.7× 102 0.3× 376 1.4× 200 1.5× 23 0.3× 22 865
Diego Sánchez‐Martínez Spain 15 331 0.9× 229 0.7× 442 1.6× 382 2.9× 36 0.4× 25 1.0k
Vincent Blot United States 18 226 0.6× 89 0.3× 376 1.4× 280 2.1× 30 0.3× 29 936
Gary de Jong Canada 13 137 0.4× 119 0.3× 405 1.5× 181 1.4× 49 0.6× 20 911
Yu-Chen Tsai Taiwan 15 165 0.5× 148 0.4× 330 1.2× 224 1.7× 34 0.4× 39 955
Diana Palmeri United States 15 703 2.0× 585 1.7× 412 1.5× 180 1.4× 105 1.2× 18 1.2k
Emil F. Michelotti United States 13 166 0.5× 271 0.8× 1.1k 4.1× 109 0.8× 52 0.6× 16 1.4k

Countries citing papers authored by Colette Aprhys

Since Specialization
Citations

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

Fields of papers citing papers by Colette Aprhys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colette Aprhys

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

All Works

9 of 9 papers shown
1.
Li, Qian, Olindi Wijesekera, Sussan J. Salas, et al.. (2014). Mesenchymal Stem Cells from Human Fat Engineered to Secrete BMP4 Are Nononcogenic, Suppress Brain Cancer, and Prolong Survival. Clinical Cancer Research. 20(9). 2375–2387. 67 indexed citations
2.
Bai, Ren-Yuan, Verena Staedtke, Colette Aprhys, Gary L. Gallia, & Gregory J. Riggins. (2011). Antiparasitic mebendazole shows survival benefit in 2 preclinical models of glioblastoma multiforme. Neuro-Oncology. 13(9). 974–982. 157 indexed citations
3.
Zhang, Yan, Evelyn M. Kanter, James G. Laing, et al.. (2008). Connexin43 Expression Levels Influence Intercellular Coupling and Cell Proliferation of Native Murine Cardiac Fibroblasts. Cell Communication & Adhesion. 15(3). 289–303. 49 indexed citations
4.
Fujimuro, Masahiro, Frederick Y. Wu, Colette Aprhys, et al.. (2003). A novel viral mechanism for dysregulation of β-catenin in Kaposi's sarcoma–associated herpesvirus latency. Nature Medicine. 9(3). 300–306. 262 indexed citations
5.
Wu, Frederick Y., Qi-Qun Tang, Honglin Chen, et al.. (2002). Lytic replication-associated protein (RAP) encoded by Kaposi sarcoma-associated herpesvirus causes p21 CIP-1 -mediated G 1 cell cycle arrest through CCAAT/enhancer-binding protein-α. Proceedings of the National Academy of Sciences. 99(16). 10683–10688. 66 indexed citations
6.
7.
Balajee, Adayabalam S. & Colette Aprhys. (2001). Helicase Domain Containing Proteins in Human Disorders. Current Genomics. 2(4). 305–324. 1 indexed citations
8.
9.
Aprhys, Colette, D M Ciufo, Edward A. O’Neill, Thomas J. Kelly, & Gary S. Hayward. (1989). Overlapping octamer and TAATGARAT motifs in the VF65-response elements in herpes simplex virus immediate-early promoters represent independent binding sites for cellular nuclear factor III. Journal of Virology. 63(6). 2798–2812. 97 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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