Jason Lowry
Impact in
- Aging top 5%
-
- Angiogenesis and VEGF in Cancer
- Congenital heart defects research
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
Papers in
-
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 2
- Angiogenesis and VEGF in Cancer 2
- RNA modifications and cancer 2
- Congenital heart defects research 2
- DNA and Nucleic Acid Chemistry 2
- Surgery 2
- Peripheral Artery Disease Management 2
- Co-authors
- William R. Atchley (1 shared paper)Kenneth Walsh (4 shared papers)Joel P. Mackay (7 shared papers)Jeffrey M. Isner (2 shared papers)Lawrence Weir (2 shared papers)Satoshi Takeshita (2 shared papers)Edi Brogi (2 shared papers)Ann Pieczek (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Genomics (1 paper)Human Gene Therapy (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Journal of Molecular Evolution (1 paper)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Jason Lowry
17 papers receiving 817 citations
Peers
Comparison fields: 5 of 95
- Aging 42
- Molecular Biology 615
- Genetics 136
- Cancer Research 68
- Genetics 47
Countries citing papers authored by Jason Lowry
This map shows the geographic impact of Jason Lowry'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 Jason Lowry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Lowry more than expected).
Fields of papers citing papers by Jason Lowry
This network shows the impact of papers produced by Jason Lowry. 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 Jason Lowry. The network helps show where Jason Lowry may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Lowry, 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 | 2000 | 249 | |
| 2 | 1995 | 157 | |
| 3 | 1996 | 120 | |
| 4 | 1996 | 119 | |
| 5 | 2005 | 42 | |
| 6 | 2006 | 30 | |
| 7 | 2007 | 27 | |
| 8 | 2013 | 18 | |
| 9 | 2008 | 17 | |
| 10 | 2007 | 15 | |
| 11 | 2013 | 14 | |
| 12 | 1996 | 14 | |
| 13 | 2008 | 6 | |
| 14 | 1995 | 6 | |
| 15 | 2009 | 4 | |
| 16 | 2011 | 3 | |
| 17 | 2023 | 1 |
About Jason Lowry
Jason Lowry is a scholar working on Molecular Biology, Surgery, Genetics, Cell Biology and Physiology, having authored 17 papers that have together received 842 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Hemoglobinopathies and Related Disorders (2 papers), RNA Research and Splicing (2 papers), Angiogenesis and VEGF in Cancer (2 papers), RNA modifications and cancer (2 papers), Congenital heart defects research (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Peripheral Artery Disease Management (2 papers). The work is most often cited by research in Aging (42 citations), Molecular Biology (615 citations), Genetics (136 citations), Cancer Research (68 citations) and Genetics (47 citations). Jason Lowry has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include William R. Atchley, Kenneth Walsh, Joel P. Mackay, Jeffrey M. Isner, Lawrence Weir, Satoshi Takeshita, Edi Brogi, Ann Pieczek, Kenneth Rosenfield and James F. Symes. Their work appears in journals such as Journal of Biological Chemistry, Genomics, Human Gene Therapy, The International Journal of Biochemistry & Cell Biology and Journal of Molecular Evolution.
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.