Jay S. Hanas
Impact in
- Nutrition and Dietetics top 5%
- Trace Elements in Health
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- DNA and Nucleic Acid Chemistry
- RNA modifications and cancer
- DNA Repair Mechanisms
Papers in
-
- Trace Elements in Health 9
- Co-authors
- Daniel BogenhagenC W WuDaria J. HazudaFelicia Y.-H. WuJames R. HockerMegan R. LernerStan LightfootC. G. Gunn
- Journals
- Nucleic Acids Research (10 papers)Journal of Biological Chemistry (7 papers)Cancer Investigation (5 papers)Biochemistry (4 papers)Gene (4 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Jay S. Hanas
69 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 112
- Nutrition and Dietetics 297
- Molecular Biology 1.0k
- Health, Toxicology and Mutagenesis 175
- Oncology 207
- Genetics 196
Countries citing papers authored by Jay S. Hanas
This map shows the geographic impact of Jay S. Hanas'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 S. Hanas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay S. Hanas more than expected).
Fields of papers citing papers by Jay S. Hanas
This network shows the impact of papers produced by Jay S. Hanas. 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 S. Hanas. The network helps show where Jay S. Hanas may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay S. Hanas, 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 | 2020 | 1 | |
| 2 | 2019 | 10 | |
| 3 | 2015 | 17 | |
| 4 | 2014 | 4 | |
| 5 | 2012 | 1 | |
| 6 | 2008 | 6 | |
| 7 | 2008 | 33 | |
| 8 | 2005 | 43 | |
| 9 | 2004 | 18 | |
| 10 | 2003 | 2 | |
| 11 | 2002 | 12 | |
| 12 | 2001 | 27 | |
| 13 | 1999 | 75 | |
| 14 | 1999 | 3 | |
| 15 | 1998 | 33 | |
| 16 | 1996 | 26 | |
| 17 | 1992 | 17 | |
| 18 | 1990 | 8 | |
| 19 | 1989 | 19 | |
| 20 | 1989 | 17 |
About Jay S. Hanas
Jay S. Hanas is a scholar working on Nutrition and Dietetics, Structural Biology, Molecular Biology, Toxicology and Cancer Research, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (18 papers), RNA Research and Splicing (14 papers), DNA and Nucleic Acid Chemistry (13 papers), Genomics and Chromatin Dynamics (10 papers), Trace Elements in Health (9 papers), RNA modifications and cancer (6 papers), Advanced Proteomics Techniques and Applications (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Nutrition and Dietetics (297 citations), Molecular Biology (1.0k citations), Health, Toxicology and Mutagenesis (175 citations), Oncology (207 citations) and Genetics (196 citations). Jay S. Hanas has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Daniel Bogenhagen, C W Wu, Daria J. Hazuda, Felicia Y.-H. Wu, James R. Hocker, Megan R. Lerner, Stan Lightfoot, C. G. Gunn, Jason L. Larabee and Chris J. Gaskins. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Cancer Investigation, Biochemistry and Gene.
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.