Jay Pilrose
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 4
- Hedgehog Signaling Pathway Studies 2
- Circular RNAs in diseases 2
- Kruppel-like factors research 1
- Oncology 2
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Kenneth P. Nephew (10 shared papers)Daniela Matei (7 shared papers)Yinu Wang (4 shared papers)Xingyue Zong (2 shared papers)Ali Özeş (2 shared papers)Fang Fang (2 shared papers)M. Sharon Stack (1 shared paper)Paul Haluska (2 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Oncogene (2 papers)Cancers (1 paper)Scientific Reports (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesTaiwanSouth Korea
In The Last Decade
Jay Pilrose
11 papers receiving 565 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 229
- Reproductive Medicine 87
- Molecular Biology 422
- Oncology 128
- Cell Biology 46
Countries citing papers authored by Jay Pilrose
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
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-authors
The 25 scholars most cited alongside Jay Pilrose, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 161 | |
| 2 | 2017 | 111 | |
| 3 | 2012 | 93 | |
| 4 | 2014 | 81 | |
| 5 | 2013 | 47 | |
| 6 | 2014 | 37 | |
| 7 | 2014 | 17 | |
| 8 | 2011 | 12 | |
| 9 | 2023 | 5 | |
| 10 | Epithelial Ovarian Cancer Experimental Models | 2014 | 2 |
| 11 | Therapeutic targeting using tumor specific peptides inhibits long non-coding RNA HOTAIR activity in ovarian and breast cancer | 2017 | 1 |
| 12 | 2013 | 0 |
About Jay Pilrose
Jay Pilrose is a scholar working on Molecular Biology, Oncology, Cell Biology, Reproductive Medicine and Cancer Research, having authored 12 papers that have together received 567 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (4 papers), Hedgehog Signaling Pathway Studies (2 papers), Cancer-related molecular mechanisms research (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Circular RNAs in diseases (2 papers), Kruppel-like factors research (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Cancer Research (229 citations), Reproductive Medicine (87 citations), Molecular Biology (422 citations), Oncology (128 citations) and Cell Biology (46 citations). Jay Pilrose has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Kenneth P. Nephew, Daniela Matei, Yinu Wang, Xingyue Zong, Ali Özeş, Fang Fang, M. Sharon Stack, Paul Haluska, Ernst Lengyel and Joanna E. Burdette. Their work appears in journals such as Clinical Cancer Research, Oncogene, Cancers, Scientific Reports and Journal of Clinical Oncology.
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.