Jay Pilrose

727 total citations
12 papers, 567 citations indexed

About

Jay Pilrose is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Jay Pilrose has authored 12 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Jay Pilrose's work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (4 papers) and Hedgehog Signaling Pathway Studies (2 papers). Jay Pilrose is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (4 papers) and Hedgehog Signaling Pathway Studies (2 papers). Jay Pilrose collaborates with scholars based in United States, Taiwan and South Korea. Jay Pilrose's co-authors include Kenneth P. Nephew, Daniela Matei, Yinu Wang, Xingyue Zong, Ali Özeş, Fang Fang, Paul Haluska, M. Sharon Stack, Joanna E. Burdette and Hilary A. Kenny and has published in prestigious journals such as Journal of Clinical Oncology, Oncogene and Scientific Reports.

In The Last Decade

Jay Pilrose

11 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay Pilrose United States	8	422	229	128	87	47	12	567
Shamima Yeasmin Japan	10	289 0.7×	123 0.5×	115 0.9×	94 1.1×	24 0.5×	19	442
Angela Ziebarth United States	7	345 0.8×	125 0.5×	254 2.0×	94 1.1×	48 1.0×	11	516
Douglas V.N.P. Oliveira Denmark	12	508 1.2×	179 0.8×	204 1.6×	36 0.4×	32 0.7×	26	697
Jun Chi China	9	388 0.9×	322 1.4×	59 0.5×	99 1.1×	77 1.6×	20	621
Asunción Suárez Spain	8	331 0.8×	110 0.5×	156 1.2×	160 1.8×	29 0.6×	8	575
Simona Giglio Italy	12	424 1.0×	260 1.1×	217 1.7×	25 0.3×	30 0.6×	23	607
Huaizeng Chen China	16	514 1.2×	165 0.7×	280 2.2×	124 1.4×	144 3.1×	44	788
Khyati Meghani United States	9	482 1.1×	132 0.6×	285 2.2×	45 0.5×	61 1.3×	17	646
Margherita Ghisi Australia	9	453 1.1×	222 1.0×	217 1.7×	23 0.3×	105 2.2×	11	663

Countries citing papers authored by Jay Pilrose

Since Specialization

Citations

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

Fields of papers citing papers by Jay Pilrose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Pilrose

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

All Works

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12 of 12 papers shown

1.

Smith, John, Jay Pilrose, Stephanie C. Ems-McClung, et al.. (2023). MCAK Inhibitors Induce Aneuploidy in Triple-Negative Breast Cancer Models. Cancers. 15(13). 3309–3309. 5 indexed citations

2.

Özeş, Ali, Yinu Wang, Xingyue Zong, et al.. (2017). Therapeutic targeting using tumor specific peptides inhibits long non-coding RNA HOTAIR activity in ovarian and breast cancer. PMC. 1 indexed citations

3.

Özeş, Ali, Yinu Wang, Xingyue Zong, et al.. (2017). Therapeutic targeting using tumor specific peptides inhibits long non-coding RNA HOTAIR activity in ovarian and breast cancer. Scientific Reports. 7(1). 894–894. 111 indexed citations

4.

Fang, Fang, Joanne M. Munck, Jessica Tang, et al.. (2014). The Novel, Small-Molecule DNA Methylation Inhibitor SGI-110 as an Ovarian Cancer Chemosensitizer. Clinical Cancer Research. 20(24). 6504–6516. 81 indexed citations

5.

Lengyel, Ernst, et al.. (2014). Epithelial Ovarian Cancer Experimental Models. PMC. 2 indexed citations

6.

Tang, Jessica, Fang Fang, Jay Pilrose, et al.. (2014). Global DNA Methylation Profiling Technologies and the Ovarian Cancer Methylome. Methods in molecular biology. 1238. 653–675. 17 indexed citations

7.

Fang, Fang, Jay Pilrose, Yinu Wang, et al.. (2014). Decitabine reactivated pathways in platinum resistant ovarian cancer. Oncotarget. 5(11). 3579–3589. 37 indexed citations

8.

Lengyel, Ernst, Joanna E. Burdette, Hilary A. Kenny, et al.. (2013). Epithelial ovarian cancer experimental models. Oncogene. 33(28). 3619–3633. 161 indexed citations

9.

Huang, Rui, Fei Gu, Nameer B. Kirma, et al.. (2013). Comprehensive methylome analysis of ovarian tumors reveals hedgehog signaling pathway regulators as prognostic DNA methylation biomarkers. Epigenetics. 8(6). 624–634. 47 indexed citations

10.

Nephew, Kenneth P., Daniela Matei, Pietro Taverna, et al.. (2013). Abstract IA17: Targeting the methylome for epigenetic resensitization of ovarian cancer. Clinical Cancer Research. 19(19_Supplement). IA17–IA17.

11.

Rao, Xi, Jared M. Evans, Han–Jung Chae, et al.. (2012). CpG island shore methylation regulates caveolin-1 expression in breast cancer. Oncogene. 32(38). 4519–4528. 93 indexed citations

12.

Matei, Daniela, Fujin Fang, Jeanne M. Schilder, et al.. (2011). A phase II study of decitabine and carboplatin in recurrent platinum (Pt)-resistant ovarian cancer (OC).. Journal of Clinical Oncology. 29(15_suppl). 5011–5011. 12 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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