Wesley D. Frey

924 total citations
19 papers, 680 citations indexed

About

Wesley D. Frey is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Wesley D. Frey has authored 19 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Oncology. Recurrent topics in Wesley D. Frey's work include Epigenetics and DNA Methylation (10 papers), Genetic Syndromes and Imprinting (8 papers) and Cancer-related Molecular Pathways (4 papers). Wesley D. Frey is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Genetic Syndromes and Imprinting (8 papers) and Cancer-related Molecular Pathways (4 papers). Wesley D. Frey collaborates with scholars based in United States, United Kingdom and South Korea. Wesley D. Frey's co-authors include James G. Jackson, Nathan Ungerleider, Joomyeong Kim, Ashkan Shahbandi, Yunbing Ma, Bratati Mukherjee, Trang T. Pham, Jing Yang, Robert J. DiMario and James V. Moroney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Wesley D. Frey

19 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wesley D. Frey United States	11	463	153	123	110	95	19	680
Surabhi Gupta India	13	300 0.6×	91 0.6×	103 0.8×	25 0.2×	116 1.2×	47	732
David P. Astling United States	15	591 1.3×	154 1.0×	224 1.8×	27 0.2×	65 0.7×	24	900
Giuseppe Petrosino Italy	17	659 1.4×	88 0.6×	122 1.0×	26 0.2×	59 0.6×	24	898
J. Kunz Germany	12	274 0.6×	265 1.7×	126 1.0×	20 0.2×	52 0.5×	19	584
Ryan L. Ragland United States	13	1.0k 2.2×	293 1.9×	524 4.3×	18 0.2×	35 0.4×	21	1.3k
Phillip Liu United States	9	241 0.5×	20 0.1×	157 1.3×	41 0.4×	51 0.5×	16	468
Molly C. Kottemann United States	9	762 1.6×	158 1.0×	159 1.3×	36 0.3×	24 0.3×	13	944
Ying Tong China	19	392 0.8×	54 0.4×	216 1.8×	31 0.3×	160 1.7×	55	945
T Kozu Japan	11	1.3k 2.8×	160 1.0×	168 1.4×	23 0.2×	137 1.4×	13	1.7k
G. J. van den Engh Netherlands	11	191 0.4×	70 0.5×	57 0.5×	34 0.3×	62 0.7×	13	413

Countries citing papers authored by Wesley D. Frey

Since Specialization

Citations

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

Fields of papers citing papers by Wesley D. Frey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wesley D. Frey. 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 Wesley D. Frey. The network helps show where Wesley D. Frey may publish in the future.

Co-authorship network of co-authors of Wesley D. Frey

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

All Works

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19 of 19 papers shown

Lee, Hyemin, Ji Hoon Jung, Hee‐Won Park, et al.. (2023). RNA-binding motif protein 10 inactivates c-Myc by partnering with ribosomal proteins uL18 and uL5. Proceedings of the National Academy of Sciences. 120(49). e2308292120–e2308292120. 8 indexed citations

Frey, Wesley D., et al.. (2022). Mouse model and human patient data reveal critical roles for Pten and p53 in suppressing POLE mutant tumor development. NAR Cancer. 4(1). zcac004–zcac004. 4 indexed citations

Frey, Wesley D., et al.. (2022). Phosphoinositide species and filamentous actin formation mediate engulfment by senescent tumor cells. PLoS Biology. 20(10). e3001858–e3001858. 7 indexed citations

Shahbandi, Ashkan, et al.. (2020). BH3 mimetics selectively eliminate chemotherapy-induced senescent cells and improve response in TP53 wild-type breast cancer. Cell Death and Differentiation. 27(11). 3097–3116. 88 indexed citations

Chen, Chen, et al.. (2020). Pregnancy reprograms the epigenome of mammary epithelial cells and blocks the development of premalignant lesions. Nature Communications. 11(1). 2649–2649. 17 indexed citations

Kim, Joomyeong, et al.. (2019). Allele-specific enhancer interaction at the Peg3 imprinted domain. PLoS ONE. 14(10). e0224287–e0224287. 2 indexed citations

Tonnessen-Murray, Crystal A., Wesley D. Frey, Ashkan Shahbandi, et al.. (2019). Chemotherapy-induced senescent cancer cells engulf other cells to enhance their survival. The Journal of Cell Biology. 218(11). 3827–3844. 90 indexed citations

Tonnessen-Murray, Crystal A., et al.. (2018). p53 Mediates Vast Gene Expression Changes That Contribute to Poor Chemotherapeutic Response in a Mouse Model of Breast Cancer. Translational Oncology. 11(4). 930–940. 13 indexed citations

Frey, Wesley D., et al.. (2018). Oxytocin receptor is regulated by Peg3. PLoS ONE. 13(8). e0202476–e0202476. 7 indexed citations

10.

Ungerleider, Nathan, Ashkan Shahbandi, Douglas Yee, et al.. (2018). Breast cancer survival predicted by TP53 mutation status differs markedly depending on treatment. Breast Cancer Research. 20(1). 115–115. 76 indexed citations

11.

Frey, Wesley D., et al.. (2018). Allele and dosage specificity of the Peg3 imprinted domain. PLoS ONE. 13(5). e0197069–e0197069. 9 indexed citations

12.

Frey, Wesley D., et al.. (2017). BPTF Maintains Chromatin Accessibility and the Self-Renewal Capacity of Mammary Gland Stem Cells. Stem Cell Reports. 9(1). 23–31. 38 indexed citations

13.

Frey, Wesley D. & Joomyeong Kim. (2015). Tissue-Specific Contributions of Paternally Expressed Gene 3 in Lactation and Maternal Care of Mus musculus. PLoS ONE. 10(12). e0144459–e0144459. 18 indexed citations

14.

Frey, Wesley D. & Joomyeong Kim. (2014). APeg3: regulation of Peg3 through an evolutionarily conserved ncRNA. Gene. 540(2). 251–257. 6 indexed citations

15.

Kim, Joomyeong, Wesley D. Frey, Hongzhi He, et al.. (2014). Correction: Peg3 Mutational Effects on Reproduction and Placenta-Specific Gene Families. PLoS ONE. 9(1). 1 indexed citations

16.

Kim, Joomyeong, Wesley D. Frey, Hongzhi He, et al.. (2013). Peg3 Mutational Effects on Reproduction and Placenta-Specific Gene Families. PLoS ONE. 8(12). e83359–e83359. 65 indexed citations

17.

Thiaville, Michelle M., Hana Kim, Wesley D. Frey, & Joomyeong Kim. (2013). Identification of an Evolutionarily Conserved Cis-Regulatory Element Controlling the Peg3 Imprinted Domain. PLoS ONE. 8(9). e75417–e75417. 19 indexed citations

18.

Kim, Joomyeong, Muhammad B. Ekram, Hana Kim, et al.. (2012). Imprinting control region (ICR) of the Peg3 domain. Human Molecular Genetics. 21(12). 2677–2687. 45 indexed citations

19.

Moroney, James V., Yunbing Ma, Wesley D. Frey, et al.. (2011). The carbonic anhydrase isoforms of Chlamydomonas reinhardtii: intracellular location, expression, and physiological roles. Photosynthesis Research. 109(1-3). 133–149. 167 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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