Todd Riley
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 3
- Ubiquitin and proteasome pathways 3
- Epigenetics and DNA Methylation 2
- Biomedical Text Mining and Ontologies 1
- Gene expression and cancer classification 1
- Co-authors
- Arnold J. Levine (3 shared papers)Eduardo D. Sontag (2 shared papers)Patricia A. Chen (1 shared paper)Harmen J. Bussemaker (6 shared papers)Richard S. Mann (3 shared papers)Tamara A. Howard (1 shared paper)Joseph D. Locker (1 shared paper)Stephen C. Strom (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Biotechnology (1 paper)Journal of Biomedical Informatics (1 paper)eLife (1 paper)FEBS Journal (1 paper)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Todd Riley
13 papers receiving 3.1k citations
Todd Riley's Hit Papers
Peers
Comparison fields: 5 of 110
- Hepatology 325
- Oncology 859
- Molecular Biology 2.2k
- Cancer Research 409
- Biotechnology 112
Countries citing papers authored by Todd Riley
This map shows the geographic impact of Todd Riley'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 Todd Riley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Riley more than expected).
Fields of papers citing papers by Todd Riley
This network shows the impact of papers produced by Todd Riley. 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 Todd Riley. The network helps show where Todd Riley may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Riley, 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 | Transcriptional control of human p53-regulated genes Hit paper breakdown → | 2008 | 1574 |
| 2 | 1996 | 422 | |
| 3 | 2011 | 379 | |
| 4 | 2013 | 288 | |
| 5 | 2013 | 120 | |
| 6 | 2009 | 112 | |
| 7 | 2012 | 102 | |
| 8 | 2014 | 65 | |
| 9 | 2015 | 29 | |
| 10 | 2018 | 12 | |
| 11 | 2009 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 8 |
About Todd Riley
Todd Riley is a scholar working on Molecular Biology, Hepatology, Genetics, Epidemiology and Cell Biology, having authored 13 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (3 papers), Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (2 papers), Autophagy in Disease and Therapy (1 paper), Pancreatic function and diabetes (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Hepatology (325 citations), Oncology (859 citations), Molecular Biology (2.2k citations), Cancer Research (409 citations) and Biotechnology (112 citations). Todd Riley has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Arnold J. Levine, Eduardo D. Sontag, Patricia A. Chen, Harmen J. Bussemaker, Richard S. Mann, Tamara A. Howard, Joseph D. Locker, Stephen C. Strom, William C. Bowen and Geoffrey D. Block. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology, Journal of Biomedical Informatics, eLife and FEBS Journal.
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.