Chris Jay
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- RNA modifications and cancer
Papers in
-
- RNA Interference and Gene Delivery 5
- Muscle Physiology and Disorders 3
- Advanced biosensing and bioanalysis techniques 3
- Glycosylation and Glycoproteins Research 2
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- Inflammatory Myopathies and Dermatomyositis 5
- Co-authors
- John Nemunaitis (14 shared papers)Pat F. Fulgham (2 shared papers)Neil Senzer (10 shared papers)Alex W. Tong (4 shared papers)Patrick Chen (1 shared paper)Aron C. Eklund (1 shared paper)A W Tong (1 shared paper)Iya Khalil (1 shared paper)
- Journals
- Cancer Gene Therapy (3 papers)Veterinary Research Communications (2 papers)DNA and Cell Biology (1 paper)The Journal of Gene Medicine (1 paper)Current Gene Therapy (1 paper)
- Partner nations
- United StatesGermanyMexico
In The Last Decade
Chris Jay
19 papers receiving 729 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 388
- Molecular Biology 486
- Genetics 71
- Genetics 25
- Oncology 51
Countries citing papers authored by Chris Jay
This map shows the geographic impact of Chris Jay'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 Chris Jay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Jay more than expected).
Fields of papers citing papers by Chris Jay
This network shows the impact of papers produced by Chris Jay. 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 Chris Jay. The network helps show where Chris Jay may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Jay, 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 | 2008 | 234 | |
| 2 | 2007 | 195 | |
| 3 | 2008 | 49 | |
| 4 | 2009 | 41 | |
| 5 | 2011 | 40 | |
| 6 | 2010 | 37 | |
| 7 | 2010 | 25 | |
| 8 | 2010 | 24 | |
| 9 | 2008 | 19 | |
| 10 | 2014 | 16 | |
| 11 | 2012 | 15 | |
| 12 | 2009 | 12 | |
| 13 | 2008 | 11 | |
| 14 | 2005 | 8 | |
| 15 | 2009 | 7 | |
| 16 | 2015 | 6 | |
| 17 | 2009 | 5 | |
| 18 | 2009 | 3 | |
| 19 | A BNF compiler for Prolog | 1991 | 2 |
About Chris Jay
Chris Jay is a scholar working on Molecular Biology, Epidemiology, Genetics, Biotechnology and Cancer Research, having authored 19 papers that have together received 749 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (5 papers), RNA Interference and Gene Delivery (5 papers), Muscle Physiology and Disorders (3 papers), Cancer Research and Treatments (3 papers), MicroRNA in disease regulation (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Cancer Research (388 citations), Molecular Biology (486 citations), Genetics (71 citations), Genetics (25 citations) and Oncology (51 citations). Chris Jay has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include John Nemunaitis, Pat F. Fulgham, Neil Senzer, Alex W. Tong, Patrick Chen, Aron C. Eklund, A W Tong, Iya Khalil, Jing Han and Phillip B. Maples. Their work appears in journals such as Cancer Gene Therapy, Veterinary Research Communications, DNA and Cell Biology, The Journal of Gene Medicine and Current Gene Therapy.
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.