Jay Snoddy
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 6
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 3
- RNA regulation and disease 3
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- interferon and immune responses 3
- Co-authors
- Stefan Kirov (6 shared papers)Bing Zhang (2 shared papers)Denise D. Schmoyer (3 shared papers)Bing Zhang (3 shared papers)Péter Lengyel (4 shared papers)Elena Toniato (3 shared papers)Divaker Choubey (2 shared papers)Ghislain Opdenakker (2 shared papers)
- Journals
- BMC Bioinformatics (3 papers)Virology (2 papers)Nucleic Acids Research (1 paper)Journal of Nutrition (1 paper)Trends in Genetics (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Jay Snoddy
24 papers receiving 2.7k citations
Jay Snoddy's Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 370
- Molecular Biology 1.6k
- Immunology 340
- Biological Psychiatry 32
- Genetics 353
Countries citing papers authored by Jay Snoddy
This map shows the geographic impact of Jay Snoddy'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 Snoddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Snoddy more than expected).
Fields of papers citing papers by Jay Snoddy
This network shows the impact of papers produced by Jay Snoddy. 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 Snoddy. The network helps show where Jay Snoddy may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Snoddy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | WebGestalt: an integrated system for exploring gene sets in various biological contexts Hit paper breakdown → | 2005 | 1499 |
| 2 | 2004 | 386 | |
| 3 | 1993 | 183 | |
| 4 | 1989 | 114 | |
| 5 | 2004 | 113 | |
| 6 | 2007 | 77 | |
| 7 | 2004 | 60 | |
| 8 | 1989 | 56 | |
| 9 | 1989 | 39 | |
| 10 | 2008 | 37 | |
| 11 | 2005 | 36 | |
| 12 | 2005 | 33 | |
| 13 | 2013 | 24 | |
| 14 | 1988 | 24 | |
| 15 | 2005 | 17 | |
| 16 | 2009 | 15 | |
| 17 | 1995 | 13 | |
| 18 | 2004 | 12 | |
| 19 | 1999 | 11 | |
| 20 | 2006 | 11 |
About Jay Snoddy
Jay Snoddy is a scholar working on Molecular Biology, Immunology, Epidemiology, Artificial Intelligence and Physiology, having authored 24 papers that have together received 2.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (6 papers), RNA and protein synthesis mechanisms (4 papers), interferon and immune responses (3 papers), Genomics and Phylogenetic Studies (3 papers), RNA regulation and disease (3 papers), Algorithms and Data Compression (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Cancer Research (370 citations), Molecular Biology (1.6k citations), Immunology (340 citations), Biological Psychiatry (32 citations) and Genetics (353 citations). Jay Snoddy has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Stefan Kirov, Bing Zhang, Denise D. Schmoyer, Bing Zhang, Péter Lengyel, Elena Toniato, Divaker Choubey, Ghislain Opdenakker, Radomir Crkvenjakov and Marija Zeremski. Their work appears in journals such as BMC Bioinformatics, Virology, Nucleic Acids Research, Journal of Nutrition and Trends in Genetics.
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.